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Data Science & Analytics

wisdom
13 Views · 2 months ago

In this video, we bring you a complete roadmap to becoming a data analyst with our Data Analytics Full Course 2026. Starting from the basics of Python, you’ll gradually move into powerful libraries like NumPy and Pandas, and learn how to visualize data using Matplotlib and Seaborn. This Data Analytics Full Course 2026 is designed for beginners as well as aspiring professionals who want to build strong foundations and practical skills in data analysis.

As the course progresses, you’ll dive into Exploratory Data Analysis (EDA), Excel for data analytics, and SQL to manage and query real-world datasets. You’ll also explore industry tools like Power BI to create interactive dashboards and gain insights. This Data Analytics Full Course 2026 ensures you not only understand concepts but also apply them effectively through hands-on learning.

Finally, we take you through a real-world IPL dataset analysis and share powerful data analytics project ideas to help you build your portfolio and stand out in the job market. Whether you’re preparing for interviews or switching careers, this course gives you everything you need to start your journey in data analytics.

📖 Below are the concepts covered in the video on "Data Analytics Full Course":
00:00:00 – Introduction to Data Analyst Course
00:01:45 – Python Basics
00:05:59 – NumPy Arrays
00:08:51 – Pandas Operations
01:14:55 – Matplotlib Visualizations
02:05:21 – Seaborn Styling
02:53:26 – EDA Techniques
03:18:20 – Excel for Data Analytics
04:14:58 – SQL
07:09:31 – Power BI
09:34:10 – Analyzing IPL Dataset
10:29:47 – Data Analytics Project Ideas

#dataanalytics #dataanalyticscourse #dataanalyticsfullcourse #datascience #pythonfordataanalysis

🔥Enroll for Data Analytics Course: https://intellipaat.com/data-a....nalytics-master-trai

➡️ About the Course:
The Intellipaat Data Analytics Master Training Course is a comprehensive program designed to help learners master key data analytics skills such as data cleaning, preprocessing, exploratory data analysis (EDA), and statistical analysis. It covers essential tools and technologies including Python, SQL, Excel, and Power BI, along with real-world projects and case studies to build practical experience. The course is structured to cater to both beginners and professionals, offering hands-on learning, industry-relevant curriculum, and career support to help learners transition into data analyst roles successfully.

➡️ Key Features of the Course:
✅Master data cleaning, preprocessing, EDA, and statistical analysis
✅Hands-on training in Python, SQL, Excel, and Power BI
✅Learn data analytics lifecycle, visualization, and business insights
✅Work on real-world projects and capstone assignments
✅Covers statistics, probability, and data analysis techniques
✅Industry-recognized certification after course completion
✅Instructor-led + self-paced learning flexibility
✅Career support with resume building and interview preparation
✅24/7 mentorship and learning support
✅Designed for beginners as well as working professionals

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

📚For more information, please write back to us at sales@intellipaat.com or call us at IND: +91-7022374614 / US : 1-800-216-8930

wisdom
37 Views · 2 months ago

🌈 𝐆𝐨𝐨𝐠𝐥𝐞 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐞 - imp.i384100.net/GDataAnalytics
🌈 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐞 - imp.i384100.net/DAMicrosoft
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🌈🌈𝘼𝙨𝙠 𝙈𝙚 𝘼𝙣𝙮𝙩𝙝𝙞𝙣𝙜 𝙤𝙣 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 - https://www.linkedin.com/in/vishalkhole/

🟨 𝘿𝙖𝙩𝙖 𝘼𝙣𝙖𝙡𝙮𝙨𝙩 𝙁𝙧𝙚𝙨𝙝𝙚𝙧𝙨 𝙅𝙤𝙗𝙨 - https://jobs.topvarsity.in/?utm_source=YouTube&utm_medium=Data_Analyst_Video&utm_campaign=lbvQmIs6OHw
🟦 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐑𝐞𝐬𝐮𝐦𝐞 𝐓𝐞𝐦𝐩𝐥𝐚𝐭𝐞𝐬 𝐅𝐫𝐞𝐞: https://jobs.topvarsity.in/resume-templates-home/?utm_source=Youtube&utm_medium=Description&utm_campaign=Video

📊 Are you curious about the fascinating world of data analytics? Welcome to our free data analyst course video, where we'll provide an in-depth exploration of why data analytics is the future, job trends in the field, average data analyst salaries, and an overview of the essential data analyst syllabus.

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🧵 𝐁𝐞𝐜𝐨𝐦𝐞 𝐀 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭
https://bit.ly/3FmuczF

📌𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐃𝐚𝐭𝐚𝐬𝐞𝐭
https://bit.ly/Dataset1TVS
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📌 𝐂𝐨𝐧𝐧𝐞𝐜𝐭 𝐰𝐢𝐭𝐡 𝐌𝐞 𝐨𝐧 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧
https://www.linkedin.com/in/vishalkhole/

📌 𝐌𝐞𝐞𝐭 𝐦𝐞 𝐩𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐥𝐲 𝟏:𝟏 𝐒𝐞𝐬𝐬𝐢𝐨𝐧
https://topmate.io/analystvishal

📌 𝐉𝐨𝐢𝐧 𝐃𝐚𝐭𝐚 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 𝐨𝐧 𝐖𝐡𝐚𝐭𝐬𝐚𝐩𝐩
https://whatsapp.com/channel/0....029Va54XR90VycGe5iAi

📌 𝐆𝐞𝐭 𝐔𝐩𝐝𝐚𝐭𝐞𝐬 𝐨𝐧 𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦
https://www.instagram.com/analystvishal/

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In an era driven by data, understanding the power of analytics is essential. We'll begin by dissecting the current job trends in the data analytics industry, allowing you to grasp the immense demand for skilled data analysts across various sectors. Discover the numerous career opportunities available and how data analytics is reshaping businesses worldwide. Next, we'll shed light on the financial aspects by revealing the average data analyst salary, giving you valuable insights into the earning potential within this dynamic field. To equip you for success, we'll also provide a sneak peek into the data analyst syllabus, outlining the key skills and knowledge areas you'll need to excel in this profession. Whether you're a beginner or an aspiring data analyst looking to enhance your expertise, this course will set you on the path to a rewarding and impactful career. Don't miss out on this opportunity to explore the future of data analysis and unlock your full potential.

🔔 Subscribe to our channel to stay informed about our upcoming educational content, and hit the notification bell to receive the latest updates. Get ready to embark on an exciting journey into the world of data analytics and seize the opportunities of tomorrow. 🚀📈💼💰🌐
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Chapters
00:00 Introduction
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Ⓣⓗⓐⓝⓚ Ⓨⓞⓤ !
.
.
.
.
.
.
.
#dataanalyst #datascience #businessanalysis #businessintelligence #careerdevelopment #datanerd #python #excel #jobsearch #dataroadmap #dataskills #dataanalytics

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wisdom
33 Views · 2 months ago

Master the essentials of Python programming and take your data analysis skills to the next level with this comprehensive course. Designed for beginners, this course introduces Python basics before diving deep into powerful data analysis tools like NumPy and pandas. You’ll also learn how to create stunning visualizations using libraries such as Matplotlib, Seaborn, and Plotly.

Data Used:
https://pivotalstats.com/wp-co....ntent/uploads/2025/0
https://pivotalstats.com/wp-co....ntent/uploads/2025/0

Google Colab:
https://colab.research.google.com/


Chapters :
00:00:12 - Introduction
00:03:14 - Variables, Data Types & Operators
00:15:27 - Type of Operators
00:25:10 - If Condition, Indexing & Comments
00:34:06 - Creating Custom Functions
00:42:03 - Working with Collection Data Type
00:54:48 - Loops
01:01:09 - Working with Libraries
01:07:33 - Intro to Numpy
01:20:07 - Intro to Pandas
01:36:24 - Visualization Libraries




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wisdom
12 Views · 2 months ago

💻Take my Full MySQL Course Here: https://www.analystbuilder.com..../courses/mysql-for-d

Download MySQL: https://dev.mysql.com/downloads/installer/

Download Datasets: https://github.com/AlexTheAnal....yst/MySQL-YouTube-Se
____________________________________________

RESOURCES:

💻Analyst Builder - https://www.analystbuilder.com/

📖Take my Full MySQL Course Here: https://bit.ly/3tqOipr
📖Take my Full Python Course Here: https://bit.ly/48O581R
📖Practice Technical Interview Questions: https://bit.ly/46pDqqL

Coursera Courses:
Google Data Analyst Certification: https://coursera.pxf.io/5bBd62
Data Analysis with Python - https://coursera.pxf.io/BXY3Wy
IBM Data Analysis Specialization - https://coursera.pxf.io/AoYOdR
Tableau Data Visualization - https://coursera.pxf.io/MXYqaN

Udemy Courses:
Python for Data Science - https://bit.ly/3Z4A5K6
Statistics for Data Science - https://bit.ly/37jqDbq
SQL for Data Analysts (SSMS) - https://bit.ly/3fkqEij
Tableau A-Z - http://bit.ly/385lYvN

*Please note I may earn a small commission for any purchase through these links - Thanks for supporting the channel!*
____________________________________________

BECOME A MEMBER -

Want to support the channel? Consider becoming a member! I do Monthly Livestreams and you get some awesome Emoji's to use in chat and comments!

https://www.youtube.com/channe....l/UC7cs8q-gJRlGwj4A8
____________________________________________

Websites:
💻Website: AlexTheAnalyst.com
💾GitHub: https://github.com/AlexTheAnalyst
📱Instagram: @Alex_The_Analyst
____________________________________________

0:00 Intro
0:52 Installing MySQL and Setting up Database
11:19 Select Statement
21:47 Where Clause
33:54 Group By
44:18 Having vs Where
47:41 Limit and Aliasing
51:10 Joins
1:08:04 Unions
1:15:10 String Functions
1:26:39 Case Statements
1:35:16 Subqueries
1:45:58 Window Functions
1:58:55 CTEs
2:09:07 Temp Tables
2:16:34 Stored Procedures
2:28:51 Triggers and Events
2:42:46 Data Cleaning Project
3:32:14 Exploratory Data Analysis Project

*All opinions or statements in this video are my own and do not reflect the opinion of the company I work for or have ever worked for*

wisdom
17 Views · 2 months ago

🌈 𝐆𝐨𝐨𝐠𝐥𝐞 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐞 - imp.i384100.net/GDataAnalytics
🌈 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐞 - imp.i384100.net/DAMicrosoft
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🌈🌈𝘼𝙨𝙠 𝙈𝙚 𝘼𝙣𝙮𝙩𝙝𝙞𝙣𝙜 𝙤𝙣 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 - https://www.linkedin.com/in/vishalkhole/

🟨 𝘿𝙖𝙩𝙖 𝘼𝙣𝙖𝙡𝙮𝙨𝙩 𝙁𝙧𝙚𝙨𝙝𝙚𝙧𝙨 𝙅𝙤𝙗𝙨 - https://jobs.topvarsity.in/?utm_source=YouTube&utm_medium=Data_Analyst_Video&utm_campaign=KIlw5Up2hnk
🟦 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐑𝐞𝐬𝐮𝐦𝐞 𝐓𝐞𝐦𝐩𝐥𝐚𝐭𝐞𝐬 𝐅𝐫𝐞𝐞: https://jobs.topvarsity.in/resume-templates-home/?utm_source=Youtube&utm_medium=Description&utm_campaign=Video

📊 Are you curious about the fascinating world of data analytics? Welcome to our free data analyst course video, where we'll provide an in-depth exploration of why data analytics is the future, job trends in the field, average data analyst salaries, and an overview of the essential data analyst syllabus.

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🔥Download Dataset and PPT here - https://topvarsity.in/data-analytics-full-course-hindi-playlist?utm_source=YouTube&utm_medium=DAEnglish&utm_campaign=Part06
______________________________________________
🟦 Connect with me on LinkedIn - https://www.linkedin.com/in/vishalkhole/
🟦 Instagram - https://www.instagram.com/analystvishal/
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📌 𝐂𝐨𝐧𝐧𝐞𝐜𝐭 𝐰𝐢𝐭𝐡 𝐌𝐞 𝐨𝐧 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧
https://www.linkedin.com/in/vishalkhole/

📌 𝐌𝐞𝐞𝐭 𝐦𝐞 𝐩𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐥𝐲 𝟏:𝟏 𝐒𝐞𝐬𝐬𝐢𝐨𝐧
https://topmate.io/analystvishal

📌 𝐉𝐨𝐢𝐧 𝐃𝐚𝐭𝐚 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 𝐨𝐧 𝐖𝐡𝐚𝐭𝐬𝐚𝐩𝐩
https://whatsapp.com/channel/0....029Va54XR90VycGe5iAi

📌 𝐆𝐞𝐭 𝐔𝐩𝐝𝐚𝐭𝐞𝐬 𝐨𝐧 𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦
https://www.instagram.com/analystvishal/

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In an era driven by data, understanding the power of analytics is essential. We'll begin by dissecting the current job trends in the data analytics industry, allowing you to grasp the immense demand for skilled data analysts across various sectors. Discover the numerous career opportunities available and how data analytics is reshaping businesses worldwide. Next, we'll shed light on the financial aspects by revealing the average data analyst salary, giving you valuable insights into the earning potential within this dynamic field. To equip you for success, we'll also provide a sneak peek into the data analyst syllabus, outlining the key skills and knowledge areas you'll need to excel in this profession. Whether you're a beginner or an aspiring data analyst looking to enhance your expertise, this course will set you on the path to a rewarding and impactful career. Don't miss out on this opportunity to explore the future of data analysis and unlock your full potential.

🔔 Subscribe to our channel to stay informed about our upcoming educational content, and hit the notification bell to receive the latest updates. Get ready to embark on an exciting journey into the world of data analytics and seize the opportunities of tomorrow. 🚀📈💼💰🌐
______________________________________________
___________________________________________
Chapters
00:00 Introduction
______________________________________________
Ⓣⓗⓐⓝⓚ Ⓨⓞⓤ !
.
.
.
.
.
.
.
#dataanalyst #datascience #businessanalysis #businessintelligence #careerdevelopment #datanerd #python #excel #jobsearch #dataroadmap #dataskills #dataanalytics

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how to become a data analyst
data analyst job
data analyst roadmap
data analytics
data analyst career
data analyst skills
what does a data analyst do
data analyst job description
data science
what do data analysts do
how to learn data analyst skills
data analyst day in the life
data analyst resume
data analyst beginner
data analyst course
become a data analyst
data analyst full course
data analyst daily work
data analyst projects
data analyst for beginners
data analyst interview
data scientist
power bi
data nerd
data analysis
how to get data analyst job
how to get data analyst job without experience
business intelligence
python
excel
data analyst overview
what does a data analyst actually do
data analyst with no experience
what do data analysts actually do
how to become data analyst
data analyst career path
data analyst interview questions and answers
data analyst roadmap 2023
complete data analyst roadmap
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free courses
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google free courses
top courses for data analysts
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data analytics free course

wisdom
12 Views · 2 months ago

Want to become a Data Analyst but don’t know where to start? This Data Analytics Full Course by Intellipaat takes you through every step from fundamentals to practical applications helping you build job-ready skills in 2025.

You’ll start by understanding the Data Analytics roadmap, then dive into Python basics, NumPy arrays, and Pandas operations for effective data manipulation. Next, explore Matplotlib and Seaborn for stunning visualizations and learn EDA techniques to extract meaningful insights. The course also covers Excel for analytics, SQL for querying databases, and Power BI for interactive dashboards.

Finally, we’ll explore real-world data analytics project ideas and top interview questions to help you prepare for your career as a data analyst. Whether you’re a beginner or professional looking to upskill, this video is your one-stop guide to mastering Data Analytics.

Below are the topics covered in the 'Data Analytics Course For Beginners':
00:00:00 – Introduction to Data Analytics Course
00:01:31 – Roadmap to become Data Analyst
00:06:38 – Python Basics
00:10:52 – Numpy Arrays
00:13:44 – Pandas Operations
01:19:48 – Matplotlib Visualisations
02:15:14 – Seaborn Styling
02:58:19 – EDA Techniques
03:23:13 – Excel For Data Analytics
04:19:51 – SQL
07:13:14 – Power BI
09:37:00 – Data Analytics Project Ideas
09:47:48 – Interview Questions

#dataanalyticsfullcourse #dataanalyticsfullcourse2025 #dataanalayticstutorialforbeginners #intellipaat

🔥Enroll for Intellipaat's Data Analytics Course: https://intellipaat.com/data-a....nalytics-master-trai

➡️ About the Course
The growing need for data-driven decision-making in competitive businesses has resulted in a notable increase in the demand for skilled Data Analysts. This course covers an in-depth understanding of data analysis, including machine learning algorithms, statistical techniques, optimization techniques, and data visualization.

➡️ Key Features - (Course Features)
✅ 50+ Live sessions across 7 months
✅ 218 Hrs of Self-paced tutorial videos
✅ 200 Hrs of Project & Exercises
✅ Learn from industry professionals and IIT Faculty
✅ 1-on-1 sessions with industry mentors

➡️ What’s Covered in This Program?
✅ Linux and Python Fundamentals
✅ Data Wrangling with SQL
✅ Statistics And Probability
✅ Machine Learning
✅ Performance Metrics
✅ Time Series Forecasting
✅ Data Modeling
✅ Microsoft Excel
✅ Visualizations using Power BI

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

📚For more information, please write back to us at sales@intellipaat.com or call us at IND: +91-7022374614 / US : 1-800-216-8930

wisdom
11 Views · 2 months ago

🌈 𝐆𝐨𝐨𝐠𝐥𝐞 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐞 - imp.i384100.net/GDataAnalytics
🌈 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐞 - imp.i384100.net/DAMicrosoft
______________________________________________
🌈🌈𝘼𝙨𝙠 𝙈𝙚 𝘼𝙣𝙮𝙩𝙝𝙞𝙣𝙜 𝙤𝙣 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧 - https://www.linkedin.com/in/vishalkhole/

🟨 𝘿𝙖𝙩𝙖 𝘼𝙣𝙖𝙡𝙮𝙨𝙩 𝙁𝙧𝙚𝙨𝙝𝙚𝙧𝙨 𝙅𝙤𝙗𝙨 - https://jobs.topvarsity.in/?utm_source=YouTube&utm_medium=Data_Analyst_Video&utm_campaign=ZmjjsfNH5nE
🟦 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐑𝐞𝐬𝐮𝐦𝐞 𝐓𝐞𝐦𝐩𝐥𝐚𝐭𝐞𝐬 𝐅𝐫𝐞𝐞: https://jobs.topvarsity.in/resume-templates-home/?utm_source=Youtube&utm_medium=Description&utm_campaign=Video

📊 Are you curious about the fascinating world of data analytics? Welcome to our free data analyst course video, where we'll provide an in-depth exploration of why data analytics is the future, job trends in the field, average data analyst salaries, and an overview of the essential data analyst syllabus.

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🔥Download Dataset and PPT here - https://topvarsity.in/data-analytics-full-course-hindi-playlist?utm_source=YouTube&utm_medium=DAEnglish&utm_campaign=Part06
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🟦 Connect with me on LinkedIn - https://www.linkedin.com/in/vishalkhole/
🟦 Instagram - https://www.instagram.com/analystvishal/
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📌 𝐂𝐨𝐧𝐧𝐞𝐜𝐭 𝐰𝐢𝐭𝐡 𝐌𝐞 𝐨𝐧 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧
https://www.linkedin.com/in/vishalkhole/

📌 𝐌𝐞𝐞𝐭 𝐦𝐞 𝐩𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐥𝐲 𝟏:𝟏 𝐒𝐞𝐬𝐬𝐢𝐨𝐧
https://topmate.io/analystvishal

📌 𝐉𝐨𝐢𝐧 𝐃𝐚𝐭𝐚 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 𝐨𝐧 𝐖𝐡𝐚𝐭𝐬𝐚𝐩𝐩
https://whatsapp.com/channel/0....029Va54XR90VycGe5iAi

📌 𝐆𝐞𝐭 𝐔𝐩𝐝𝐚𝐭𝐞𝐬 𝐨𝐧 𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦
https://www.instagram.com/analystvishal/

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In an era driven by data, understanding the power of analytics is essential. We'll begin by dissecting the current job trends in the data analytics industry, allowing you to grasp the immense demand for skilled data analysts across various sectors. Discover the numerous career opportunities available and how data analytics is reshaping businesses worldwide. Next, we'll shed light on the financial aspects by revealing the average data analyst salary, giving you valuable insights into the earning potential within this dynamic field. To equip you for success, we'll also provide a sneak peek into the data analyst syllabus, outlining the key skills and knowledge areas you'll need to excel in this profession. Whether you're a beginner or an aspiring data analyst looking to enhance your expertise, this course will set you on the path to a rewarding and impactful career. Don't miss out on this opportunity to explore the future of data analysis and unlock your full potential.

🔔 Subscribe to our channel to stay informed about our upcoming educational content, and hit the notification bell to receive the latest updates. Get ready to embark on an exciting journey into the world of data analytics and seize the opportunities of tomorrow. 🚀📈💼💰🌐
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Chapters
00:00 Introduction

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Ⓣⓗⓐⓝⓚ Ⓨⓞⓤ !
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#dataanalyst #datascience #businessanalysis #businessintelligence #careerdevelopment #datanerd #python #excel #jobsearch #dataroadmap #dataskills #dataanalytics

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wisdom
9 Views · 2 months ago

This Data Analytics Full Course by Intellipaat is a comprehensive guide for beginners and aspiring professionals who want to become proficient Data Analysts. The course starts with a complete roadmap to help you understand the career path of a Data Analyst and the essential skills required in 2025. You will begin with Python basics, including Numpy arrays and Pandas operations, to handle and manipulate data efficiently.

The course then dives into data visualization using Matplotlib and Seaborn, equipping you with practical skills to create insightful charts and graphs. Advanced topics include Exploratory Data Analysis (EDA), Excel for data analytics, SQL for database management, and hands-on experience with Power BI for reporting and dashboards. Real-world projects and data analytics project ideas are included to help you apply your knowledge effectively. Finally, the course covers essential interview questions to prepare you for Data Analytics job opportunities. This tutorial is perfect for beginners, job seekers, and professionals looking to enhance their data analytics skills and launch a successful career in the field.

Below are the topics covered in the 'Data Analytics Course For Beginners':
00:00:00 – Introduction to Data Analytics Course
00:01:51 – Roadmap to become Data Analyst
00:06:58 – Python Basics
00:11:12 – Numpy Arrays
00:14:04 – Pandas Operations
01:20:08 – Matplotlib Visualisations
02:15:34 – Seaborn Styling
02:58:39 – EDA Techniques
03:23:33 – Excel For Data Analytics
04:20:11 – SQL
07:13:34 – Power BI
09:37:20 – Data Analytics Project Ideas
09:48:08 – Interview Questions

#dataanalyticsfullcourse #dataanalyticsfullcourse2025 #dataanalayticstutorialforbeginners #intellipaat

🔥Enroll for Intellipaat's Data Analytics Course: https://intellipaat.com/data-a....nalytics-master-trai

➡️ About the Course
The growing need for data-driven decision-making in competitive businesses has resulted in a notable increase in the demand for skilled Data Analysts. This course covers an in-depth understanding of data analysis, including machine learning algorithms, statistical techniques, optimization techniques, and data visualization.

➡️ Key Features - (Course Features)
✅ 50+ Live sessions across 7 months
✅ 218 Hrs of Self-paced tutorial videos
✅ 200 Hrs of Project & Exercises
✅ Learn from industry professionals and IIT Faculty
✅ 1-on-1 sessions with industry mentors

➡️ What’s Covered in This Program?
✅ Linux and Python Fundamentals
✅ Data Wrangling with SQL
✅ Statistics And Probability
✅ Machine Learning
✅ Performance Metrics
✅ Time Series Forecasting
✅ Data Modeling
✅ Microsoft Excel
✅ Visualizations using Power BI

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

📚For more information, please write back to us at sales@intellipaat.com or call us at IND: +91-7022374614 / US : 1-800-216-8930

wisdom
22 Views · 2 months ago

🔥Enroll for Data Analytics Course: https://intellipaat.com/data-a....nalytics-master-trai

🔥𝐁𝐨𝐨𝐤 𝐲𝐨𝐮𝐫 𝐅𝐫𝐞𝐞 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬: https://forms.gle/g5tExa7e54xpYZW97

🚀 Master Data Analytics from scratch with this complete Data Analytics Full Course covering Statistics, Probability, Normal Distribution, Hypothesis Testing, Confidence Intervals, Python, NumPy, Pandas, Matplotlib, Seaborn, Exploratory Data Analysis (EDA), Excel, SQL, Power BI, Tableau, DAX, Data Visualization, and Real-World Projects. Learn essential concepts such as Descriptive Statistics, Inferential Statistics, Correlation, Probability Distribution, Outlier Detection, SQL Queries, Stored Procedures, Triggers, Views, Transactions, Indexes, and Business Intelligence reporting used by Data Analysts across industries.

📊 This beginner-to-advanced Data Analytics course is perfect for students, freshers, working professionals, and career switchers looking to become Data Analysts. Gain hands-on experience with Python for Data Analytics, SQL for Data Analysis, Power BI Dashboard Development, Tableau Visualization, Data Cleaning, Data Exploration, Statistical Analysis, Business Analytics, and Interview Preparation. Build industry-ready skills, work on practical projects, and prepare for Data Analyst, Business Analyst, Data Scientist, and Analytics roles in 2026.

📖 Below are the concepts covered in the video on "Data Analytics Course":
00:00:00 – Introduction to Data Analytics Course
00:23:43 – Python Basics
00:27:57 – NumPy Arrays
00:30:49 – Pandas Operations
01:36:53 – Matplotlib Visualizations
02:27:19 – Seaborn Styling
03:15:24 – EDA Techniques
03:40:18 – Excel for Data Analytics
04:36:56 – SQL
07:31:29 – Power BI
09:56:08 – Analyzing IPL Dataset
10:51:45 – Data Analytics Project Ideas

#dataanalytics #dataanalyticscourse #dataanalyticsfullcourse #datascience #pythonfordataanalysis #dataanalyticstraining #intellipaat

➡️ About the Course:
The Intellipaat Data Analytics Master Training Course is a comprehensive program designed to help learners master key data analytics skills such as data cleaning, preprocessing, exploratory data analysis (EDA), and statistical analysis. It covers essential tools and technologies including Python, SQL, Excel, and Power BI, along with real-world projects and case studies to build practical experience. The course is structured to cater to both beginners and professionals, offering hands-on learning, industry-relevant curriculum, and career support to help learners transition into data analyst roles successfully.

➡️ Key Features of the Course:
✅Master data cleaning, preprocessing, EDA, and statistical analysis
✅Hands-on training in Python, SQL, Excel, and Power BI
✅Learn data analytics lifecycle, visualization, and business insights
✅Work on real-world projects and capstone assignments
✅Covers statistics, probability, and data analysis techniques
✅Industry-recognized certification after course completion
✅Instructor-led + self-paced learning flexibility
✅Career support with resume building and interview preparation
✅24/7 mentorship and learning support

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

📚For more information, please write back to us at sales@intellipaat.com or call us at IND: +91-7022374614 / US : 1-800-216-8930

wisdom
8 Views · 2 months ago

Learn how to use Pandas and Python for Data Analysis, to Data Cleaning and Data Wrangling. You will learn by creating real life projects interactively to help you take the next step in your Data Science Career.

Learn more about the projects at https://www.datawars.io/freecodecamp

⚠️ Important! We encourage you to try to resolve the projects by yourself first! And watch the solution afterwards ⚠️

💻 Course created by Santiago Basulto from DataWars.
🔗 Find more interactive Data Science projects solve at: https://www.datawars.io

❤️ Try interactive Python courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from our friends at Scrimba)

⭐️ Projects Covered ⭐️
⌨️ (0:00:00) Introduction

⌨️ (0:02:22) DataFrames practice: working with English Words [🟢 Easy]
This project focuses on the basics of pandas DataFrames, including understanding its structures and modifying them. The data we're using is a big dictionary of english words.
🔗 Solve the project by yourself: https://www.datawars.io/fcc-english-words

⌨️ (0:33:26) Filtering and sorting with Pokemon data [🟢 Easy]
This project focuses on the main tasks of Data Analysis: filtering and sorting and question/answering. The dataset includes information of pokemons from all generations (to make it more fun!)
🔗 Solve the project by yourself: https://www.datawars.io/fcc-filtering-pokemon

⌨️ (1:24:30) The Birthday Paradox in the NBA [🟡 Intermediate]
The Birthday Paradox answers the question: how many people do you need in the same room in order to have a probability of at least 50% that two people share a birthday. The answer is astonishing! You'll use your findings to find which teams in the NBA share player's birthdays.
🔗 Solve the project by yourself: https://www.datawars.io/fcc-birthday-nba

⌨️ (1:55:28) Matching Strings by Similarity using Levenshtein distance [🟡 Intermediate]
One of the most challenging tasks of Data Cleaning is dealing with Strings. This project is all about string handling and advanced techniques, as using the Combinatorics and the Levenshtein distance to find irregularities in company names.
🔗 Solve the project by yourself: https://www.datawars.io/fcc-string-similarity

⌨️ (2:24:15) Data Cleaning with Google Playstore dataset [🟡 Intermediate]
An all-encompassing project that covers all the aspects of Data Cleaning, including: finding and fixing null values, duplicate values, outliers and more. The data was scraped from the Google Playstore which means that is full of irregularities. The project finishes with some Data Analysis tasks!
🔗 Solve the project by yourself: https://www.datawars.io/fcc-data-cleaning-playstore

⌨️ (3:18:34) Premier League Match Analysis [🔴 Advanced]
This project increases the complexity of your Data Analysis skills, as it combines Data Cleaning, with some analysis based on grouping operations. The dataset comes from the Premier League, the top-division Football/Soccer league in England.
🔗 Solve the project by yourself: https://www.datawars.io/fcc-premier-league

⌨️ (3:53:46) NBA 2017 season analysis: joining and groupby practice [🔴 Advanced]
This project puts your Data Wrangling skills to a test, by asking you to merge different dataframes, clean them, and finish doing some analysis and question/answering. The dataset contains the full information of 2017 NBA statistics.
🔗 Solve the project by yourself: https://www.datawars.io/fcc-nba-analysis


🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

wisdom
8 Views · 2 months ago

🔥Enroll for Data Analytics Course: https://intellipaat.com/data-a....nalytics-master-trai

🔥𝐁𝐨𝐨𝐤 𝐲𝐨𝐮𝐫 𝐅𝐫𝐞𝐞 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬: https://forms.gle/g5tExa7e54xpYZW97

Data Analytics Full Course is designed for beginners who want to master the complete Data Analytics roadmap from scratch. In this course, you will learn Python Basics, NumPy Arrays, Pandas Operations, Matplotlib Visualizations, Seaborn Styling, and Exploratory Data Analysis (EDA) techniques with practical examples. The course starts with an introduction to Data Analytics and gradually moves into data handling, visualization, and analytics concepts that are essential for becoming a successful Data Analyst.

In this Data Analytics Full Course, you will also learn industry-relevant tools including Excel for Data Analytics, SQL for querying databases, and Power BI for creating interactive dashboards and reports. Along with technical concepts, the course includes real-world applications such as analyzing an IPL dataset to understand data cleaning, visualization, and business insights. Each section is explained step-by-step to help beginners build strong analytical and problem-solving skills.

This Data Analytics Full Course also covers practical Data Analytics Project Ideas to help you strengthen your portfolio and gain hands-on experience. Whether you are a student, working professional, aspiring Data Analyst, or someone planning a career transition into Data Science and Business Intelligence, this complete course will help you learn Data Analytics, Python, SQL, Excel, Power BI, EDA, and Data Visualization in one place with easy-to-follow lessons and real-world examples.


📖 Below are the concepts covered in the video on "Data Analytics Full Course":
00:00:00 – Introduction to Data Analytics Course
00:23:43 – Python Basics
00:27:57 – NumPy Arrays
00:30:49 – Pandas Operations
01:36:53 – Matplotlib Visualizations
02:27:19 – Seaborn Styling
03:15:24 – EDA Techniques
03:40:18 – Excel for Data Analytics
04:36:56 – SQL
07:31:29 – Power BI
09:56:08 – Analyzing IPL Dataset
10:51:45 – Data Analytics Project Ideas

#dataanalytics #dataanalyticscourse #dataanalyticsfullcourse #datascience #pythonfordataanalysis


➡️ About the Course:
The Intellipaat Data Analytics Master Training Course is a comprehensive program designed to help learners master key data analytics skills such as data cleaning, preprocessing, exploratory data analysis (EDA), and statistical analysis. It covers essential tools and technologies including Python, SQL, Excel, and Power BI, along with real-world projects and case studies to build practical experience. The course is structured to cater to both beginners and professionals, offering hands-on learning, industry-relevant curriculum, and career support to help learners transition into data analyst roles successfully.

➡️ Key Features of the Course:
✅Master data cleaning, preprocessing, EDA, and statistical analysis
✅Hands-on training in Python, SQL, Excel, and Power BI
✅Learn data analytics lifecycle, visualization, and business insights
✅Work on real-world projects and capstone assignments
✅Covers statistics, probability, and data analysis techniques
✅Industry-recognized certification after course completion
✅Instructor-led + self-paced learning flexibility
✅Career support with resume building and interview preparation
✅24/7 mentorship and learning support
✅Designed for beginners as well as working professionals

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

📚For more information, please write back to us at sales@intellipaat.com or call us at IND: +91-7022374614 / US : 1-800-216-8930

wisdom
23 Views · 2 months ago

In this video, we bring you a complete roadmap to becoming a data analyst with our Data Analytics Full Course 2026. Starting from the basics of Python, you’ll gradually move into powerful libraries like NumPy and Pandas, and learn how to visualize data using Matplotlib and Seaborn. This Data Analytics Full Course 2026 is designed for beginners as well as aspiring professionals who want to build strong foundations and practical skills in data analysis.

As the course progresses, you’ll dive into Exploratory Data Analysis (EDA), Excel for data analytics, and SQL to manage and query real-world datasets. You’ll also explore industry tools like Power BI to create interactive dashboards and gain insights. This Data Analytics Full Course 2026 ensures you not only understand concepts but also apply them effectively through hands-on learning.

Finally, we take you through a real-world IPL dataset analysis and share powerful data analytics project ideas to help you build your portfolio and stand out in the job market. Whether you’re preparing for interviews or switching careers, this course gives you everything you need to start your journey in data analytics.

📖 Below are the concepts covered in the video on "Data Analytics Full Course":
00:00:00 – Introduction to Data Analyst Course
00:01:45 – Python Basics
00:05:59 – NumPy Arrays
00:08:51 – Pandas Operations
01:14:55 – Matplotlib Visualizations
02:05:21 – Seaborn Styling
02:53:26 – EDA Techniques
03:18:20 – Excel for Data Analytics
04:14:58 – SQL
07:09:31 – Power BI
09:34:10 – Analyzing IPL Dataset
10:29:47 – Data Analytics Project Ideas

#dataanalytics #dataanalyticscourse #dataanalyticsfullcourse #datascience #pythonfordataanalysis

🔥Enroll for Data Analytics Course: https://intellipaat.com/data-a....nalytics-master-trai

➡️ About the Course:
The Intellipaat Data Analytics Master Training Course is a comprehensive program designed to help learners master key data analytics skills such as data cleaning, preprocessing, exploratory data analysis (EDA), and statistical analysis. It covers essential tools and technologies including Python, SQL, Excel, and Power BI, along with real-world projects and case studies to build practical experience. The course is structured to cater to both beginners and professionals, offering hands-on learning, industry-relevant curriculum, and career support to help learners transition into data analyst roles successfully.

➡️ Key Features of the Course:
✅Master data cleaning, preprocessing, EDA, and statistical analysis
✅Hands-on training in Python, SQL, Excel, and Power BI
✅Learn data analytics lifecycle, visualization, and business insights
✅Work on real-world projects and capstone assignments
✅Covers statistics, probability, and data analysis techniques
✅Industry-recognized certification after course completion
✅Instructor-led + self-paced learning flexibility
✅Career support with resume building and interview preparation
✅24/7 mentorship and learning support
✅Designed for beginners as well as working professionals

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

📚For more information, please write back to us at sales@intellipaat.com or call us at IND: +91-7022374614 / US : 1-800-216-8930

wisdom
4 Views · 2 months ago

THE BEST SQL COURSE I'VE TAKEN: https://datacamp.pxf.io/55Ggr3

ALL COURSES MENTIONED IN THE VIDEO
Google Data Analytics Certificate: https://imp.i384100.net/WyzDnA
Google Advanced Data Analytics Certificate: https://imp.i384100.net/EEPam2
Associate Data Analyst in SQL: https://datacamp.pxf.io/55Ggr3
Data Analyst in Power BI (50% off Microsoft PL-300 Exam): https://datacamp.pxf.io/LK1X6L
Tableau Data Analyst Certification Preparation Specialisation: https://imp.i384100.net/VxKyEO
Data Analyst in Tableau: https://datacamp.pxf.io/xLvkMd
Data Analyst in Python: https://datacamp.pxf.io/QjXyDM

Hi I'm Mo. I teach AI and data skills that solve real problems at work.
Start here → https://mochen.io
Partnerships → https://mochen.io/partnerships/

=========================================================

COURSES & CERTIFICATES
Get 25% OFF DataCamp's Courses & Certificates: https://datacamp.pxf.io/DataCampMoChen

INDUSTRY RECOGNIZED CERTIFICATIONS
Data Analyst Certification Program: https://datacamp.pxf.io/dataAnalystCertDataCamp
PowerBI Data Analyst Certification Program: https://datacamp.pxf.io/PowerBIDataAnalyst
Data Scientist Certification Program: https://datacamp.pxf.io/DataScientistCert
SQL Associate Certification Program: https://datacamp.pxf.io/SQLAssociateCert

TOP DATA ANALYST COURSES
Data Analyst with Python: https://datacamp.pxf.io/dataAnalystWithPython
Data Analyst with PowerBI: https://datacamp.pxf.io/dataAnalystPowerBIMoChen
Associate Data Analyst in SQL: https://datacamp.pxf.io/AssociateDataAnalystSQL

TOP DATA SCIENTIST COURSES
Associate Data Scientist in Python: https://datacamp.pxf.io/Associ....ateDataScientistPyth
Associate Data Scientist in R: https://datacamp.pxf.io/AssociateDataScientistR

TOP DATA ENGINEER COURSES
Data Engineer in Python: https://datacamp.pxf.io/DataEngineerInPython

TOP BUSINESS INTELLIGENCE COURSES
PowerBI Fundamentals: https://datacamp.pxf.io/PowerBIFundamentals
Tableau Fundamentals: https://datacamp.pxf.io/TableauFundamentals

TOP PROGRAMMING LANGUAGE COURSES
Python Fundamentals for Data Science: https://datacamp.pxf.io/Python....FundamentalsDataScie
Python Fundamentals for Programming: https://datacamp.pxf.io/Python....FundamentalsProgramm
SQL Fundamentals: https://datacamp.pxf.io/SQLFundamentals
R Programming Fundamentals: https://datacamp.pxf.io/RFundamentals

TOP AI COURSES
AI Engineer for Developers Course: https://datacamp.pxf.io/AIEngineerDevelopers
AI Engineer for Data Scientists Course: https://datacamp.pxf.io/AIEngineerDataScientists
Developing AI Applications Course: https://datacamp.pxf.io/AIApplications

TIMESTAMPS
00:00 Courses Overview
01:19 Google Data Analytics Professional Certificate (+Bonus)
03:03 Associate Data Analyst in SQL
05:58 Microsoft Power BI Data Analyst Certification
07:53 Certified Tableau Data Analyst
09:15 Data Analyst in Python
10:49 Personalized Data Analytics Roadmap and Projects, Data Portfolio Template, 1:1 Mentorship

wisdom
22 Views · 2 months ago

🔥Data Analyst Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=wRZ3QWVcKrw&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IIT Kanpur - Professional Certificate Course in Data Analytics and Generative AI (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=wRZ3QWVcKrw&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IIT Delhi - Data Analytics, Generative AI And Adaptive System - https://www.simplilearn.com/data-science-course?utm_campaign=wRZ3QWVcKrw&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IIT Kanpur - Professional Certificate Course in Data Analytics and Generative AI - https://www.simplilearn.com/iitg-generative-ai-data-analytics-program?utm_campaign=wRZ3QWVcKrw&utm_medium=DescriptionFirstFold&utm_source=Youtube

This video on Data Analytics Full Course 2026 by Simplilearn, is a complete beginner-to-job-ready learning path designed to build strong analytical foundations using Excel, SQL, Power BI, and Tableau. The course starts with Excel data analysis, covering data validation, conditional formatting, data cleaning, Power Query, pivot tables, lookup functions, and AI-powered analysis, mirroring how analysts work with raw business data. You will then transition into SQL for Data Analytics, learning how to create tables, filter and aggregate data, use joins and subqueries, and apply SQL to real analytics projects. This builds the logical thinking required for data-driven decision-making. The visualization layer is handled using Power BI and Tableau, where you will build dashboards, write DAX formulas, create calculated fields, apply LOD expressions, and design executive-ready reports. This reflects how successful analysts convert raw data into insights that influence stakeholders and business outcomes. By the end of this course, you will understand the full analytics workflow, from data extraction and cleaning to visualization and storytelling. This makes the course ideal for students, career switchers, and professionals aiming to enter Data Analytics roles in 2026.

Following are the topics covered in this tutorial on Data Analytics Full Course For Beginners:

00:00:00 Introduction to Data Analytics Full Course 2026 For Beginners
00:02:18 Data Analytics With Excel
- Data Validation in Excel
- Conditional Formatting in Excel
- Data Cleaning in Excel
- Power Query in Excel
- Pivot Tables in Excel
- LookUp Functions in Excel (XLOOKUP, VLOOKUP, HLOOKUP)
- Aggregate Functions in Excel
- AI in Excel (Analyze in Excel)
01:05:49 Data Analytics with SLQ
- Create table in SQL
- Extract Data in SQL
- WHERE in SQL
- GROUP BY in SQL
- HAVING in SQL
- LIMIT in SQL
- JOINS in SQL
- Sub-Queries in SQL
- SQL Data Analytics Projects
01:36:33 Power BI for Data Analytics
- Data Visualization in Power BI
- DAX in Power BI
- Sales Dashboard in Power BI
02:31:06 Tableau For Data Analytics
- Data Visualization in Tableau
- Charts and Graphs in Tableau
- LOD in Tableau
- Calculated Fields in Tableau
- Tableau Dashboard Tutorial

Related Videos:
✅ 1. Power BI Full Course 2026 - https://youtu.be/husZ6Noq7e0
✅ 2. SQL Full Course 2026 - https://youtu.be/crZIWsWy4fs
✅ 3. Advanced Excel Full Course 2026 - https://youtu.be/I-Dw4G3XAAQ
✅ 4. Tableau Full Course 2026 - https://youtu.be/bVtB9JEKGu0
✅ 5. Excel Lookup Tutorial - https://youtu.be/dn6jnFS3tvg

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Data Analytics training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUUKnB4

#dataanalystfullcourse #dataanalysistutorialforbeginners #dataanalyticsroadmap #skillstobecomeadataanalyst #dataanalystproject #dataanalystportfolio #excelforbeginners #exceldataanalysis #powerbitutorial #powerbifordataanalyst #sqlfordataanalyst #tableaufordataanalyst #simplilearn #2026

➡️ About Professional Certificate in Data Analytics and Generative AI

This Professional Certificate in Data Analytics and Generative AI program is ideal for professionals from all backgrounds. It covers Excel, SQL, Python, Tableau, Power BI, and generative AI techniques via hands-on projects.

Key Features

✅ Exclusive hackathons and Ask me Anything sessions by IBM
✅ Attend live classes led by Industry experts

Skills Covered
✅ Data Analytics
✅ Generative AI
✅ Data Storytelling
✅ Data Ethics
✅ SQL
✅ Python
✅ ETL
✅ Statistical Analysis Using Excel

👉 Learn More At: https://www.simplilearn.com/post-graduate-program-data-science?utm_campaign=wRZ3QWVcKrw&utm_medium=Description&utm_source=youtube

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wisdom
13 Views · 2 months ago

Learn how to use Python and Pandas for data analysis. This course will be especially helpful if you have experience with Excel, but that is not required. Learn how to create pivot tables, work with data, and make visualizations using Python, Pandas, and Jupyter Notebook.

💻 Source Code & Datasets: https://github.com/ifrankandra....de/python-course-for
🔗 Datasets: https://drive.google.com/drive..../folders/12hFh6RPlX5

✏️ Course developed by Frank Andrade.
🔗 YouTube Channel: https://www.youtube.com/c/FrankAndrade5
🔗 PDF Python Cheat Sheet for this Course: https://artificialcorner.com/p..../redeem-my-udemy-cou
🔗 My Complete Python Courses for Data Analysis & Data Science: https://www.udemy.com/user/frank-andrade-13/

❤️ Try interactive Python courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from our friends at Scrimba)

⭐️ Course Contents ⭐️
⌨️ (0:00:00) Intro
⌨️ (0:01:48) Install Python and Jupyter Notebook with Anaconda
⌨️ (0:03:53) Jupyter Notebook Interface
⌨️ (0:13:56) Cell Types and Cell Mode
⌨️ (0:21:34) Jupyter Notebook Shortcuts
⌨️ (0:26:39) Module 1 - Hello World
⌨️ (0:30:30) Data Type
⌨️ (0:39:10) Variables
⌨️ (0:46:53) Lists
⌨️ (1:11:14) Dictionaries
⌨️ (1:21:50) IF Statement
⌨️ (1:28:04) FOR Loop
⌨️ (1:33:49) Functions
⌨️ (1:40:59) Modules
⌨️ (1:44:41) Module 2 -Introduction to Pandas
⌨️ (1:51:08) How to create a dataframe
⌨️ (2:07:34) How to show a dataframe
⌨️ (2:14:24) Basic Attributes, Functions and Methods
⌨️ (2:26:17) Selecting One Column from a Dataframe
⌨️ (2:32:13) Selecting Two or More Columns from a Dataframe
⌨️ (2:37:50) Add New Column to a Dataframe (Simple Assignment)
⌨️ (2:47:51) Operations in dataframes
⌨️ (2:56:04) The value_counts() method
⌨️ (3:00:16) Sort a DataFrame with the sort_values() method
⌨️ (3:09:56) Module 3: Introduction to Pivot Tables in Pandas
⌨️ (3:14:42) The pivot() method
⌨️ (3:20:49) The pivot_table() method
⌨️ (3:29:00) Data Visualization with Pandas (New Dataset + Pivot Table)
⌨️ (3:38:38) Lineplot
⌨️ (3:43:05) Barplot
⌨️ (3:50:52) Piechart
⌨️ (3:54:36) Save Plot and Export Pivot Table

🎉 Thanks to our Champion and Sponsor supporters:
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wisdom
35 Views · 2 months ago

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This video on Data Analyst Full Course 2026 by Simplilearn will help you learn data analytics from beginner to advanced level and understand how to work with data to generate insights and support business decisions. The course begins with an introduction to data analytics and explains the role of a data analyst in modern organizations. You will learn the fundamentals of data analysis, including data collection, data cleaning, and data transformation. The tutorial covers important tools such as Excel, SQL, Python, and data visualization tools like Tableau and Power BI. The course also explains key concepts like data modeling, statistics, and business intelligence. You will learn how to analyze datasets, identify trends, and make data-driven decisions. By the end of this data analytics tutorial for beginners, you will clearly understand data analysis tools, techniques, and workflows needed to start a career as a data analyst.

Following are the topics covered in the Data Analyst Full Course 2026:
00:00:00 - Introduction to Data Analytics Full Course 2026
00:03:55 - What Is Data Analytics?
00:10:15 - Data Analyst Roadmap 2026
00:21:09 - Business Analyst vs Data Analyst
00:29:54 - Data Analytics For Beginners
00:39:43 - Data Analytics Using R
01:32:38 - Excel for Data Analytics 2026
01:35:16 - What is Data Analytics
01:37:25 - Types of Data Analytics
01:40:40 - Why Excel is Still Relevant for Data Analysis
01:44:10 - Excel Interface and Key Functions
01:48:22 - Text To Columns
01:53:31 - Age Groups Creation Using Conditional Statements in Excel
01:57:23 - Flash Fill in Excel
01:59:16 - LEFT() in Excel
02:03:32 - Data Validation in Excel
02:09:58 - Workbook
02:11:40 - Alt+H+O+I (auto adjust Cell width in Excel) Alt+H+OA (Auto Adjust Cell Height in Excel)
02:13:33 - Freeze Cells in Excel
02:14:11 - Statistics in Excel
02:21:33 - Filter Function in Excel (Load Data Copying or moving in excel)
02:23:29 - Data Analytics in Excel (What-If Analysis in excel, Forecast in excel)
02:25:56 - How to import Data to excel
02:26:38 - Pivot Tables in Excel
02:28:33 - Pivot Analyze and Pivot Charts in Excel
02:36:05 - How to build an interactive Dashboard in Excel
02:38:21 - How to insert Slicers in Excel
02:40:21 - Report Connections in Slicers
02:41:43 - Power BI Tutorial for Beginners
02:44:43 - Chapter 1: Introduction to Power BI
03:00:39 - Chapter 2: Understanding Power BI Workflow
03:25:03 - Chapter 3: Connecting to Data Sources
03:34:19 - Chapter 4: Data Transformation with Power Query Editor
04:40:50 - Chapter 5: Building a Data Model
04:49:33 - Chapter 6: Introduction to DAX (Data Analysis Expressions)
05:42:50 - Chapter 7: Visualizations in Power BI
06:20:24 - Chapter 8: Power BI Service – Publishing and Sharing Reports
06:49:13 - Chapter 0: Power BI Tips, Tricks, and Common Mistakes
07:08:57 - Chapter 10: Final Quiz and Certification Resource Guide
07:20:36 - SQL Tutorial for Beginners
07:24:38 - Chapter 01: Introduction to SQL and Database Basics
07:44:24 - Chapter 02: Basic SQL Queries
08:28:09 - Chapter 03: Understanding Data Types and Operators
08:40:14 - Chapter 04: Inserting, Updating, and Deleting Data
09:08:41 - Chapter 05: Mastering SQL JOINS
09:29:06 - Chapter 06: Grouping and Aggregating Data
09:45:10 - Chapter 07: Subqueries and Nested Queries
09:57:22 - Chapter 08: Data Modeling and Relationships
10:10:41 - Chapter 09: Indexing and Performance Tuning
10:19:46 - Chapter 10: Views, Functions, and Stored Procedures
10:34:07 - Chapter 11: Transactions and Error Handling
11:01:51 - Chapter 12: Real-World SQL Projects
11:51:12 - Chapter 13: SQL for Data Analysis
12:06:56 - Chapter 14: SQL Interview Questions
12:31:16 - Chapter 15: Certification Prep
12:49:48 - Python For Data Analytics
21:08:01 - Data Analytics Projects For Beginners
22:42:09 - Data Analyst Interview Questions And Answers

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Data Analytics training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUUKnB4

#dataanalystfullcourse #dataanalysistutorialforbeginners #dataanalyticsroadmap #skillstobecomeadataanalyst #dataanalystproject #dataanalystportfolio #excelforbeginners #exceldataanalysis #powerbitutorial #powerbifordataanalyst #sqlfordataanalyst #tableaufordataanalyst #simplilearn #2026

wisdom
5 Views · 2 months ago

5 Data Analyst Courses Worth More than a Degree
Level up with DataCamp 👉 https://datacamp.pxf.io/jRzKea
Get Access with Coursera 👉 https://imp.i384100.net/enqd1Z

Coursera — Specific Courses Mentioned:

1. Google Data Analytics Professional Certificate - https://imp.i384100.net/xLA0Yd
2. Google Advanced Data Analytics Professional Certificate - https://imp.i384100.net/jRX7kb
3. IBM Data Analyst Professional Certificate - https://imp.i384100.net/ZVX06W
4. Tableau Data Analyst Certification Preparation - https://imp.i384100.net/oNzQ4Y

DataCamp — Specific Tracks Mentioned:

1. Data Analyst in Power BI (PL-300 prep) - https://datacamp.pxf.io/0Gm09L
2. Data Analyst in Tableau (Tableau Certified Data Analyst prep) - https://datacamp.pxf.io/n4NDXa

Bonus — SQL / Azure Database Administrator Associate:

1.Microsoft official cert page (DP-300) - https://learn.microsoft.com/en....-us/credentials/cert
2. DataCamp's closest equivalent track (SQL Server for DBAs) - https://datacamp.pxf.io/vDyeDN

In this video, I compare six AI video models using the same prompts to show why results vary so much across use cases. Most people misuse these tools by relying on one model for everything instead of understanding how each handles motion, physics, and style differently. Once you see the system behind it, you can choose the right model and get consistent results.

📄 Disclosure
Some of the links are affiliate links. If you make a purchase through them, we earn a small commission at no extra cost to you. This helps us keep our videos free for everyone.

Work with me: inquiries (at) academiabyanton (dot) com

wisdom
35 Views · 2 months ago

Learn data analytics in Tamil with this full course! If you're looking for a data analytics course in Tamil, this is the perfect video for you. Start learning today!

From understanding the fundamentals of data collection to mastering exploratory data analysis (EDA), this series covers it all.

Learn the significance of data collection, its methodologies, and the tools like Pandas and Anaconda for effective data manipulation. Explore EDA techniques, including statistical analysis and visualization with Seaborn, and discover practical applications through real-world case studies.

Whether you're new to data analytics or a seasoned pro, this series equips you with the essential skills to extract meaningful insights from complex datasets. Join us and unlock the power of data for informed decision-making.

This Video Contains
0:00 - Intro
0:24 - Overview Of The Course
02:49 - What Is Data?
04:59 - What Is Data Analytics And Data Analyst ?
08:56 - Difference Between Data Analytics ,Data Engineering, Data Science
10:36 - Data Analytics Job Role?
11:21 - EDA For Data Analytics?
12:19 - Skills Required To Became A Data Analyst
12:38 - Career Options For Data Analyst
15:55 - What Is Data Collection?
16:28 - What Is Data Exploration?
16:43 - Data Collection And Transformation
17:15 - Data Analytics With Python
19:04 - Jupiter Notebook Introduction
19:31 - What Is NumPy
20:16 - What Is Pandas
21:03 - How to Install Anaconda
22:19 - Working With Jupiter Notebook
51:57 - What Is Data Collection?
53:16 - What Is Data Cleaning
56:25 - What Is SWOT Analysis?
57:55 - What Is Duplicate ?
12:38 - Data Cleaning and Pre-processing ?
01:01:21 - Working With Jupiter Notebook
01:47:18 - What Is EDA In Data Analysis ?
01:51:40 - Explain Statistical And Visualization In Data Analytics ?
01:54:00 - Role of EDA ?
01:53:03 - Case Study Of EDA ?
01:55:47 - Exploring Correlation In Data Analytics ?
01:56:35 - Harness Seabones For Visualization
2:19:42 - Explain Out layers ?
2:43:49 - Data Analytics Techniques In Action
2:51:17 - Import Library



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wisdom
10 Views · 2 months ago

In this video, you’ll get a complete introduction to data analytics, starting from the basics and gradually moving toward practical, job-ready skills. We begin with Python fundamentals and then cover powerful libraries like NumPy and Pandas to help you understand how real-world data is handled and processed efficiently.

As the video progresses, you’ll learn how to visualize data using Matplotlib and Seaborn, followed by essential EDA techniques to uncover patterns and insights. We also explore Excel for analysis and SQL for working with databases, giving you a strong foundation in data analytics tools used across industries.

Towards the end, the focus shifts to Power BI for interactive dashboards and real-world project ideas that help you apply what you’ve learned. Whether you’re a beginner or planning to upskill, this video offers a structured learning path in data analytics to help you build confidence and practical experience.

​​Access the study material from the given link- https://forms.gle/Uw5q3LGmborthJEVA

📖 Below are the concepts covered in the video on “Data Analytics Full Course”:
00:00:00 – Introduction to Data Analytics Course
00:01:45 – Python Basics
00:05:59– Numpy Arrays
00:09:05– Pandas Operations
01:15:09 – Matplotlib Visualisations
02:06:16 – Seaborn Styling
02:06:36 – EDA Techniques
03:18:33 – Excel For Data Analytics
04:14:53 – SQL
07:08:53 – Power BI
08:58:36 – Data Analytics Project Ideas

#dataanalytics #analyticstrends #bigdata #businessintelligence #intellipaat

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➡️ About the Course
The Data Analytics Master Training Course by Intellipaat is an online program designed to help learners build strong data analytics skills from basics to advanced levels. It covers key tools like Python, SQL, Excel, Power BI, and PySpark, along with essential concepts such as data cleaning, EDA, statistics, and data visualization. The course includes real-world projects and case studies, making it suitable for beginners as well as professionals looking to upskill or transition into analytics roles.

✅ Key Features
👉🏼50+ live sessions over ~7 months with industry experts and IIT faculty.
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wisdom
26 Views · 2 months ago

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With Digital Data Consumption at its peak, the world has turned to Big Data for maintenance and analytics of this data. Private companies and research institutions capture terabytes of data about their users’ interactions, business, social media, and also sensors from devices such as mobile phones and automobiles. The challenge of this era is to make sense of this sea of data. For this reason, we have come up with this tutorial on "Big Data Analytics"

The volume of data that one has to deal with has exploded to unimaginable levels in the past decade, and at the same time, the price of data storage has systematically reduced. Big Data Analytics largely involves collecting data from different sources, merge it in a way that it becomes available to be consumed by analysts, and finally deliver data products useful to the organization business.

The process of converting large amounts of unstructured raw data, retrieved from different sources to a data product useful for organizations forms the core of Big Data Analytics.

BigData is the latest buzzword in the IT Industry. Apache’s Hadoop is a leading Big Data platform used by IT giants Yahoo, Facebook & Google. In this tutorial, we have covered all the important topics such as, What is Big Data and Hadoop, What is Hive, What are their features and much more that will help you to get a hold over this concept.

🏁 Topics Covered:
00:00:00 Introduction
00:00:43 Agenda
00:01:30 Big Data and Hadoop
03:41:00 What is Hive?
03:56:00 Demo

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wisdom
6 Views · 2 months ago

Take my Full Excel for Data Analytics Course! https://www.analystbuilder.com..../courses/excel-for-d

In this video we walk through the data cleaning process and dashboard creation in Excel.

Excel Dataset: https://github.com/AlexTheAnal....yst/Excel-Tutorial/b
____________________________________________

SUBSCRIBE!
Do you want to become a Data Analyst? That's what this channel is all about! My goal is to help you learn everything you need in order to start your career or even switch your career into Data Analytics. Be sure to subscribe to not miss out on any content!
____________________________________________

RESOURCES:

Coursera Courses:
Google Data Analyst Certification: https://coursera.pxf.io/5bBd62
Data Analysis with Python - https://coursera.pxf.io/BXY3Wy
IBM Data Analysis Specialization - https://coursera.pxf.io/AoYOdR
Tableau Data Visualization - https://coursera.pxf.io/MXYqaN

Udemy Courses:
Python for Data Analysis and Visualization- https://bit.ly/3hhX4LX
Statistics for Data Science - https://bit.ly/37jqDbq
SQL for Data Analysts (SSMS) - https://bit.ly/3fkqEij
Tableau A-Z - http://bit.ly/385lYvN

*Please note I may earn a small commission for any purchase through these links - Thanks for supporting the channel!*
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Patreon Page - https://www.patreon.com/AlexTheAnalyst

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Instagram: @Alex_The_Analyst
____________________________________________

*All opinions or statements in this video are my own and do not reflect the opinion of the company I work for or have ever worked for*

wisdom
9 Views · 2 months ago

Ready to become a data analyst? This Free Data Analytics Full Course 2025 by Intellipaat is your complete, beginner-friendly roadmap to mastering the most in-demand tools and techniques in the industry, with no prior experience required! Start by understanding who a data analyst is and dive into Python programming, exploring core libraries like NumPy, Pandas, Matplotlib, and Seaborn to clean, analyse, and visualise data effectively. Learn the art of Exploratory Data Analysis (EDA), followed by a solid foundation in Inferential Statistics, Normal Distribution, Confidence Intervals, and Hypothesis Testing, with hands-on implementation to sharpen your skills.

Then, step into the world of Power BI, one of the top business intelligence tools used across industries. You'll learn how to build interactive dashboards, analyse time-series data, and transform raw data into actionable insights. By the end of this course, you’ll be equipped with the practical skills, tools, and project-ready knowledge to take on real-world analytics roles with confidence.

Below are the topics covered in the 'Data Analytics Course For Beginners':
00:00:00 - Introduction to Data Analytics Course (Python + Power BI)
00:01:58 - Who is a Data Analyst?
00:07:31 - Python Basics
00:12:12 - Numpy Arrays
00:15:04 - Pandas Operations
01:21:08 - Matplotlib Visualizations
02:11:34 - Seaborn Styling
02:59:39 - EDA Techniques
03:24:06 - Inferential Statistics
03:38:20 - Normal Distribution
04:25:53 - Confidence Intervals
04:54:26 - Hypothesis Testing
07:09:17 - Inferential Statistics Hands-On Implementation
08:32:23 - Power BI
10:22:46 - Time Series Data Analytics Exploration

#dataanalyticsfullcourse #dataanalyticsfullcourse2025 #dataanalayticstutorialforbeginners #intellipaat

🔥Enroll for Intellipaat's Data Analytics Course: https://intellipaat.com/data-a....nalytics-master-trai

➡️ About the Course
The growing need for data-driven decision-making in competitive businesses has resulted in a notable increase in the demand for skilled Data Analysts. This course covers an in-depth understanding of data analysis, including machine learning algorithms, statistical techniques, optimization techniques, and data visualization.

➡️ Key Features - (Course Features)
✅ 50+ Live sessions across 7 months
✅ 218 Hrs of Self-paced tutorial videos
✅ 200 Hrs of Project & Exercises
✅ Learn from industry professionals and IIT Faculty
✅ 1-on-1 sessions with industry mentors

➡️ What’s Covered in This Program?
✅ Linux and Python Fundamentals
✅ Data Wrangling with SQL
✅ Statistics And Probability
✅ Machine Learning
✅ Performance Metrics
✅ Time Series Forecasting
✅ Data Modeling
✅ Microsoft Excel
✅ Visualizations using Power BI

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

📚For more information, please write back to us at sales@intellipaat.com or call us at IND: +91-7022374614 / US : 1-800-216-8930

wisdom
19 Views · 2 months ago

In this video, I break down the top websites and platforms where you can learn data analytics completely free, many with certificates included!
Subscribe for more free tech learning content, career guides, and opportunities.🔔

Free Data Analytics Platforms Mentioned:
Google Data Analytics Certificate (Coursera)
🔗 https://grow.google/certificates/data-analytics/
Apply via NEMISA for free access:
https://www.nemisa.co.za/

IBM Data Analyst Certificate
Coursera: https://www.coursera.org/profe....ssional-certificates
IBM SkillsBuild (Free): https://skillsbuild.org/

Microsoft Learn – Power BI Path
🔗 https://learn.microsoft.com/en....-us/training/paths/a

Harvard University (via edX)
🔗 https://online-learning.harvar....d.edu/subject/data-s

Springboard – Free Data Analytics Prep
🔗 https://www.springboard.com/le....arning-paths/data-an

Great Learning Academy
🔗 https://www.mygreatlearning.com/academy

Kaggle Learn
🔗 https://www.kaggle.com/learn

DataCamp (Free version + scholarships)
🔗 https://www.datacamp.com/

LinkedIn Learning (via Library Card)
🔗 https://www.linkedin.com/learning

Bonus Platforms for Learning Analytics
edX (Audit Free) → https://www.edx.org/

MOOC.org → https://www.mooc.org/

Alison – Data Analytics Courses → https://alison.com/tag/data-analytics

FutureLearn → https://www.futurelearn.com/su....bjects/it-and-comput

wisdom
9 Views · 2 months ago

My FREE Course to be a Data Analyst 👉 https://lukeb.co/da-crash-course
My Data Skills App 👉 https://datanerd.tech

𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗡𝗲𝗿𝗱𝘀
▔▔▔▔▔▔▔▔▔▔
💽 SQL for Data Analytics 👉🏼 https://youtu.be/7mz73uXD9DA
❎ Excel for Data Analytics 👉🏼 https://youtu.be/pCJ15nGFgVg
📊 Power BI for Data Analytics 👉🏼 https://youtu.be/FwjaHCVNBWA
🐍 Python for Data Analytics 👉🏼 https://youtu.be/wUSDVGivd-8
⚛️ ChatGPT for Data Analytics 👉🏼 https://youtu.be/uhyMqbZI6rM
🛠️ SQL for Data Engineering 👉🏼 https://youtu.be/UjhFbq4uU2Y
🙌 Course Bundles 👉🏼 https://lukeb.co/courses

𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮
▔▔▔▔▔▔
📫 Newsletter: https://lukebarousse.com/crash-courses
👨🏼‍💼 LinkedIn: https://www.linkedin.com/in/luke-b/
👾 GitHub: https://github.com/lukebarousse
🅧 X/Twitter: https://twitter.com/LukeBarousse
🌄 Instagram: https://www.instagram.com/lukebarousse/
⏰ TikTok: https://www.tiktok.com/@lukebarousse

#datanerd #dataanalyst #dataengineer

wisdom
7 Views · 2 months ago

How to Become a Data Analyst (Complete 6-Month Roadmap)

In this video, I’ll share a complete 6-month practical roadmap to start your journey as a Data Analyst from scratch.

I will go step by step, covering all the important skills such as SQL, Advanced Excel, Python (with Pandas, Seaborn, and Matplotlib), Business Intelligence tools like Power BI and Tableau, along with the fundamentals of Statistics and the smart use of AI tools to make your work 10x faster.

You will also learn where to study these topics from, how to practice effectively, and in which order to learn them for maximum impact. And also share project ideas you can build for your portfolio, tips to stand out in interviews, and insights into how companies like Zomato, startups, and MNCs use data in real-world business decisions.

By the end of this video, you will have a clear and structured roadmap that will put you in the top 10% of learners within just six months. So make sure you watch till the end, and don’t forget to like, share, and subscribe to the channel for more valuable content.

#dataanalyst #dataanalysis #sql #excel #python #pandas #powerbi #tableau #statistics #datascience #career #analytics #businessintelligence #ai #machinelearning #jobs #nishantchahar

🔴 Check out some other really cool videos too:
- https://youtube.com/watch?v=MD_awvlTZxA
- https://www.youtube.com/watch?v=GkkzrLqGT5s
- https://www.youtube.com/watch?v=eEAEB8qM7Ds
- https://www.youtube.com/watch?v=P5G6IcG4Uqo
- https://www.youtube.com/watch?v=z6VhdFdyY1o

🔴 Subscribe to https://www.youtube.com/channe....l/UClYcYuuwLqTPmH74- https://www.youtube.com/channe....l/UCmG04ueQlOQwjDtXa https://www.youtube.com/channe....l/UCHPtt-X3mg-d8TiLU

❌ Don't Click this link! https://bit.ly/381DYq6

🎯 Connect with me here:
‒ Instagram: https://www.instagram.com/nishantchahar.11/
-- X, Formerly Twitter: https://x.com/nishantchahar11
‒ LinkedIn: https://in.linkedin.com/in/chaharnishant11
‒ Telegram Channel: https://t.me/chahar_nishant

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wisdom
21 Views · 2 months ago

➡️ Data Science Course: https://www.codewithharry.com/....courses/the-ultimate
➡️ Data Analytics Course: https://www.codewithharry.com/....courses/the-ultimate
➡️ Data Science (International Students): https://buy.stripe.com/9B65kF3790jS2kCeiZ1gs04
➡️ Career Advice:
If you are into college and C/C++/Java is being taught, please continue with it. Here are my respective videos/playlists:
Learn C Programming: https://www.youtube.com/watch?v=aZb0iu4uGwA
Learn C++ Programming: https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Learn Java Programming: https://www.youtube.com/playli....st?list=PLu0W_9lII9a

But if you are not in college and want to learn programming, then I would suggest you to start with Python.

Also if you are a beginner and want to learn programming, start with Python. It is beginner-friendly and has a large community for support and a lot of jobs. If you're serious start with my Udemy course in English. Its updated + has a lot of projects. Here is the discounted link which will get you this course for less than ₹400-500. I request you to leave a review if you have enrolled:
Udemy Course: https://goharry.in/python

After you finish this course, you can start with Data Science. It is a very profitable field to get into and has a lot of job opportunities. You can learn Data Science through my "Ultimate Job Ready Data Science Course". It is a complete course that covers everything you need to know to get a job in Data Science. Here is the discounted link to the course that will get you this course for ₹2899:
Data Science Course: https://www.codewithharry.com/....courses/the-ultimate

If you are looking for free resources to learn Python, you can start with my Python Course on YouTube. It is a complete course that covers everything you need to know to become a Python developer. Its Free and you can access it here:
10 Hour Long Python Course (VS Code): https://www.youtube.com/watch?v=UrsmFxEIp5k
100 Days of Code Playlist that uses Replit: https://www.youtube.com/playli....st?list=PLu0W_9lII9a

If you want to learn web development, you can start with my Sigma Web Development Course. It is a complete course that covers everything you need to know to become a web developer. Its Free and you can access it here:
Web Development Course: https://www.youtube.com/playli....st?list=PLu0W_9lII9a

If you want to learn Data Structures and Algorithms, you can start with my Data Structures and Algorithms Course. It is a complete course that covers everything you need to know to become a good programmer. Its Free and you can access it here:
Data Structures and Algorithms Course: https://www.youtube.com/playli....st?list=PLu0W_9lII9a

➡️ Other Tutorials:
Wordpress[3.2 Hr]:https://www.youtube.com/watch?v=GlLRYml8mCY&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Angular[2 Hr]:https://www.youtube.com/watch?v=0LhBvp8qpro&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
GUI Development with Python: https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Linux[1 Hr]:https://www.youtube.com/watch?v=_tCY-c-sPZc&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7

➡️ More Advise from Harry:
Many people say that in the AI era , programming is dead. But I don't think so. AI is a tool that can help you in your programming journey. But dont overuse it in the beginning. Try to learn basics first!
AI can help you write better code, debug your code, and even help you learn new programming languages. So don't be afraid of AI, embrace it and use it to your advantage. Talk to ChatGPT daily and you will realize how quickly you can learn new things and build software. What others think is a disadvantage will become your advantage.

➡️ Hosting
If you want to host a website on a VPS and get $200 in credits, use my DigitalOcean Link
Get Free 200$ DigitalOcean Credits here: https://m.do.co/c/2f2aa100b7ee

➡️ Follow Me On Social Media
► Website (Created Using Next.js): https://www.codewithharry.com
► Facebook: https://www.facebook.com/CodeWithHarry
► Instagram: https://www.instagram.com/CodeWithHarry/
► Twitter: https://twitter.com/CodeWithHarry
► English channel: https://www.youtube.com/channe....l/UC7btqG2Ww0_2LwuQx
Comment "#HarryBhai" if you read this 😉😉

wisdom
12 Views · 2 months ago

🔥Enroll for Data Analytics Course: https://intellipaat.com/data-a....nalytics-master-trai

🔥𝐁𝐨𝐨𝐤 𝐲𝐨𝐮𝐫 𝐅𝐫𝐞𝐞 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬: https://forms.gle/g5tExa7e54xpYZW97

Data Analytics Full Course is designed for beginners who want to master the complete Data Analytics roadmap from scratch. In this course, you will learn Python Basics, NumPy Arrays, Pandas Operations, Matplotlib Visualizations, Seaborn Styling, and Exploratory Data Analysis (EDA) techniques with practical examples. The course starts with an introduction to Data Analytics and gradually moves into data handling, visualization, and analytics concepts that are essential for becoming a successful Data Analyst.

In this Data Analytics Full Course, you will also learn industry-relevant tools including Excel for Data Analytics, SQL for querying databases, and Power BI for creating interactive dashboards and reports. Along with technical concepts, the course includes real-world applications such as analyzing an IPL dataset to understand data cleaning, visualization, and business insights. Each section is explained step-by-step to help beginners build strong analytical and problem-solving skills.

This Data Analytics Full Course also covers practical Data Analytics Project Ideas to help you strengthen your portfolio and gain hands-on experience. Whether you are a student, working professional, aspiring Data Analyst, or someone planning a career transition into Data Science and Business Intelligence, this complete course will help you learn Data Analytics, Python, SQL, Excel, Power BI, EDA, and Data Visualization in one place with easy-to-follow lessons and real-world examples.


📖 Below are the concepts covered in the video on "Data Analytics Full Course":
00:00:00 – Introduction to Data Analytics Course
00:23:43 – Python Basics
00:27:57 – NumPy Arrays
00:30:49 – Pandas Operations
01:36:53 – Matplotlib Visualizations
02:27:19 – Seaborn Styling
03:15:24 – EDA Techniques
03:40:18 – Excel for Data Analytics
04:36:56 – SQL
07:31:29 – Power BI
09:56:08 – Analyzing IPL Dataset
10:51:45 – Data Analytics Project Ideas

#dataanalytics #dataanalyticscourse #dataanalyticsfullcourse #datascience #pythonfordataanalysis


➡️ About the Course:
The Intellipaat Data Analytics Master Training Course is a comprehensive program designed to help learners master key data analytics skills such as data cleaning, preprocessing, exploratory data analysis (EDA), and statistical analysis. It covers essential tools and technologies including Python, SQL, Excel, and Power BI, along with real-world projects and case studies to build practical experience. The course is structured to cater to both beginners and professionals, offering hands-on learning, industry-relevant curriculum, and career support to help learners transition into data analyst roles successfully.

➡️ Key Features of the Course:
✅Master data cleaning, preprocessing, EDA, and statistical analysis
✅Hands-on training in Python, SQL, Excel, and Power BI
✅Learn data analytics lifecycle, visualization, and business insights
✅Work on real-world projects and capstone assignments
✅Covers statistics, probability, and data analysis techniques
✅Industry-recognized certification after course completion
✅Instructor-led + self-paced learning flexibility
✅Career support with resume building and interview preparation
✅24/7 mentorship and learning support
✅Designed for beginners as well as working professionals

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

📚For more information, please write back to us at sales@intellipaat.com or call us at IND: +91-7022374614 / US : 1-800-216-8930

wisdom
32 Views · 2 months ago

🔥IBM - Data Analyst - https://www.simplilearn.com/data-analyst-certification-course?utm_campaign=m67XkMwYbRA&utm_medium=Lives&utm_source=Youtube
️🔥IITG - Professional Certificate Program in Data Analytics & Generative AI - https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=m67XkMwYbRA&utm_medium=Lives&utm_source=Youtube
️️🔥 IIT Delhi - Data Analytics, Generative AI And Adaptive System - https://www.simplilearn.com/data-science-course?utm_campaign=m67XkMwYbRA&utm_medium=Lives&utm_source=Youtube
️🔥PL-300 Microsoft Power BI Certification Training with Exam - https://www.simplilearn.com/power-bi-certification-training-course?utm_campaign=m67XkMwYbRA&utm_medium=Lives&utm_source=Youtube
️🔥Tableau Desktop Specialist Certification Training - https://www.simplilearn.com/tableau-training-and-data-visualization-course?utm_campaign=m67XkMwYbRA&utm_medium=Lives&utm_source=Youtube

The Excel Data Analytics Full Course 2026 for Simplilearn begins with an introduction to Microsoft Excel, covering its fundamentals and applications in data analytics. Learners will understand how to become a data analyst in 2026, explore the data analyst roadmap, and compare data science vs. data analytics. The course then delves into advanced Excel features, including Excel dashboards, ANOVA, Power Pivot, and web scraping. It also covers how to use AI tools like ChatGPT and Copilot for Excel. Finally, learners will master key Excel formulas, explore monetization strategies, and prepare for data analytics interviews.

Following are the topics covered in the Excel For Data Analyst Full Course 2026:

00:00:00 Introduction to Excel Data Analytics Full Course
00:11:26 What is Microsoft Excel
04:29:09 Fundamentals of Microsoft Excel
04:30:33 What is Data Analytics
04:37:24 How to become data analyst in 2026
04:45:42 Data Analyst Roadmap
04:49:23 Steps Involved in Data Analytics
04:51:27 Data Science Vs Data Analyst
10:14:51 Excel Full Course
10:21:51 Make Money with Excel
10:37:28 Chatgpt and Excel with Data Analytics
10:55:48 Excel Dashboard For Beginners
11:04:17 Anova in excel
11:16:59 Learn EXCEL Using Google Gemini
11:27:52 Power Pivot in Excel
11:37:13 How To Use Copilot In Excel
11:40:42 Web Scraping in Excel
12:04:28 Top 10 Important Excel Formulas For Analysts
12:53:34 Data Analytics Interview Questions

⏩ Check out the Excel tutorial videos: https://www.youtube.com/watch?v=nPkmWE4JCfE&list=PLEiEAq2VkUUKf8aLrspLg3zuyJ5S-5K5S

#exceldataanalytics #exceltraining #excelformulasandfunctions #exceldatavisualization #excelcourse #simplilearn #simplilearn #2026

➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

Key Features
✅ Post Graduate Program certificate and Alumni Association membership
✅ Exclusive hackathons and Ask me Anything sessions by IBM
✅ 8X higher live interaction in live online classes by industry experts
✅ Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.

✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Resume preparation and LinkedIn profile building
✅ 1:1 mock interview
✅ Career accelerator webinars

Skills Covered
✅ Data Analytics
✅ Statistical Analysis using Excel
✅ Data Analysis Python and R
✅ Data Visualization Tableau and Power BI
✅ Linear and logistic regression modules
✅ Clustering using kmeans
✅ Supervised Learning

👉 Learn More at: https://www.simplilearn.com/data-science-course?utm_campaign=m67XkMwYbRA&utm_medium=Lives&utm_source=youtube

wisdom
9 Views · 2 months ago

This Data Analytics Full Course by Intellipaat is your complete guide to becoming a successful data analyst in 2025. Starting with a roadmap to becoming a data analyst, the training covers Python basics, Numpy arrays, and Pandas operations to build a strong foundation in data handling. You will then learn how to create meaningful insights through data visualizations with Matplotlib and advanced styling using Seaborn.

The course moves into Exploratory Data Analysis (EDA) techniques, equipping you with the ability to discover patterns, trends, and anomalies in datasets. It also provides practical knowledge of Excel for data analytics, SQL for querying and managing databases, and Power BI for building interactive dashboards and reports. To ensure real-world relevance, the course includes hands-on data analytics project ideas and a dedicated section on commonly asked interview questions, helping you prepare for job roles in this growing field. Whether you’re a beginner or looking to upskill, this free data analytics tutorial will help you master essential tools and techniques to build a strong career in analytics.

Below are the topics covered in the 'Data Analytics Course For Beginners':
00:00:00 – Introduction to Data Analytics Course
00:01:51 – Roadmap to become Data Analyst
00:06:58 – Python Basics
00:11:12 – Numpy Arrays
00:14:04 – Pandas Operations
01:20:08 – Matplotlib Visualisations
02:15:34 – Seaborn Styling
02:58:39 – EDA Techniques
03:23:33 – Excel For Data Analytics
04:20:11 – SQL
07:13:34 – Power BI
09:37:20 – Data Analytics Project Ideas
09:48:08 – Interview Questions

#dataanalyticsfullcourse #dataanalyticsfullcourse2025 #dataanalayticstutorialforbeginners #intellipaat

🔥Enroll for Intellipaat's Data Analytics Course: https://intellipaat.com/data-a....nalytics-master-trai

➡️ About the Course
The growing need for data-driven decision-making in competitive businesses has resulted in a notable increase in the demand for skilled Data Analysts. This course covers an in-depth understanding of data analysis, including machine learning algorithms, statistical techniques, optimization techniques, and data visualization.

➡️ Key Features - (Course Features)
✅ 50+ Live sessions across 7 months
✅ 218 Hrs of Self-paced tutorial videos
✅ 200 Hrs of Project & Exercises
✅ Learn from industry professionals and IIT Faculty
✅ 1-on-1 sessions with industry mentors

➡️ What’s Covered in This Program?
✅ Linux and Python Fundamentals
✅ Data Wrangling with SQL
✅ Statistics And Probability
✅ Machine Learning
✅ Performance Metrics
✅ Time Series Forecasting
✅ Data Modeling
✅ Microsoft Excel
✅ Visualizations using Power BI

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

📚For more information, please write back to us at sales@intellipaat.com or call us at IND: +91-7022374614 / US : 1-800-216-8930

wisdom
25 Views · 2 months ago

🌈 𝐆𝐨𝐨𝐠𝐥𝐞 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐞 - imp.i384100.net/GDataAnalytics
🌈 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐏𝐨𝐰𝐞𝐫 𝐁𝐈 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐞 - imp.i384100.net/DAMicrosoft
______________________________________________
🟨 𝘿𝙖𝙩𝙖 𝘼𝙣𝙖𝙡𝙮𝙨𝙩 𝙁𝙧𝙚𝙨𝙝𝙚𝙧𝙨 𝙅𝙤𝙗𝙨 - https://jobs.topvarsity.in/?utm_source=YouTube&utm_medium=Data_Analyst_Video&utm_campaign=5zEt1_Nkiio
🟦 𝐃𝐨𝐰𝐧𝐥𝐨𝐚𝐝 𝐑𝐞𝐬𝐮𝐦𝐞 𝐓𝐞𝐦𝐩𝐥𝐚𝐭𝐞𝐬 𝐅𝐫𝐞𝐞: https://jobs.topvarsity.in/resume-templates-home/?utm_source=Youtube&utm_medium=Description&utm_campaign=Video

📊 Are you curious about the fascinating world of data analytics? Welcome to our free data analyst course video, where we'll provide an in-depth exploration of why data analytics is the future, job trends in the field, average data analyst salaries, and an overview of the essential data analyst syllabus.
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🔥Download Dataset and PPT here - https://topvarsity.in/data-analytics-full-course-hindi-playlist?utm_source=YouTube&utm_medium=DAEnglish&utm_campaign=Part06
______________________________________________
🟦 Connect with me on LinkedIn - https://www.linkedin.com/in/vishalkhole/
🟦 Instagram - https://www.instagram.com/analystvishal/
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📌 𝐂𝐨𝐧𝐧𝐞𝐜𝐭 𝐰𝐢𝐭𝐡 𝐌𝐞 𝐨𝐧 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧
https://www.linkedin.com/in/vishalkhole/

📌 𝐌𝐞𝐞𝐭 𝐦𝐞 𝐩𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐥𝐲 𝟏:𝟏 𝐒𝐞𝐬𝐬𝐢𝐨𝐧
https://topmate.io/analystvishal

📌 𝐉𝐨𝐢𝐧 𝐃𝐚𝐭𝐚 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲 𝐨𝐧 𝐖𝐡𝐚𝐭𝐬𝐚𝐩𝐩
https://whatsapp.com/channel/0....029Va54XR90VycGe5iAi

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In an era driven by data, understanding the power of analytics is essential. We'll begin by dissecting the current job trends in the data analytics industry, allowing you to grasp the immense demand for skilled data analysts across various sectors. Discover the numerous career opportunities available and how data analytics is reshaping businesses worldwide. Next, we'll shed light on the financial aspects by revealing the average data analyst salary, giving you valuable insights into the earning potential within this dynamic field. To equip you for success, we'll also provide a sneak peek into the data analyst syllabus, outlining the key skills and knowledge areas you'll need to excel in this profession. Whether you're a beginner or an aspiring data analyst looking to enhance your expertise, this course will set you on the path to a rewarding and impactful career. Don't miss out on this opportunity to explore the future of data analysis and unlock your full potential.

🔔 Subscribe to our channel to stay informed about our upcoming educational content, and hit the notification bell to receive the latest updates. Get ready to embark on an exciting journey into the world of data analytics and seize the opportunities of tomorrow. 🚀📈💼💰🌐
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wisdom
22 Views · 2 months ago

Excel Tutorial from Basic to Advanced for Data Analyst📊 | Learn excel in 2025 #SD19
Satish Dhawale Sir has developed a powerful tool to boost your Excel productivity. Explore it now: XLBooster – https://xlbooster.com

In this video you will learn Excel from Beginner to Advanced for Data analysis purpose so if you are aspiring data analyst then you must go through all the chapters of this video, Take your data analysis skills to the next level! This video is designed to help you unlock the power of Excel and apply it to real-world scenarios. Whether you're organizing complex datasets, simplifying repetitive tasks, or presenting insights visually, this guide is tailored to make you excel in your career.

📝 Download Practice file : https://skillcourse.in/excel-t....utorial-from-basic-t

Learn Power BI in 30 Days Free :https://courses.skillcourse.in/pbcc-ml/

Follow me on linkedin : https://www.linkedin.com/in/satish-dhawale/

Alternate Download link for Practice File :
Link 1 : https://drive.google.com/drive..../folders/1NlY2jQZZKJ
Link 2 : https://github.com/SatishDhawa....le/Excel_For_Data_An

📂 Interactive Learning Made Easy:
Practice with downloadable files and test your progress with hands-on chapter exams.

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1️⃣ Mastering Excel Basics: https://skillcourse.in/chapter....-1-mastering-excel-b
2️⃣ Data Entry and Basic Formulas: https://skillcourse.in/chapter....-2-data-entry-and-ba
3️⃣ Data Cleaning in Excel: https://skillcourse.in/chapter....-3-data-cleaning-in-
4️⃣ Logical Functions: https://skillcourse.in/chapter....-4-logical-function-
5️⃣ Filter and Sort: https://skillcourse.in/chapter....-5-filter-and-sort-i
6️⃣ Lookup Functions: https://skillcourse.in/chapter....-6-lookup-functions-
7️⃣ Statistical Formulas: https://skillcourse.in/chapter....-7-statistical-formu
8️⃣ Date Formulas: https://skillcourse.in/chapter....-8-date-formulas-in-
9️⃣ Pivot Tables: https://skillcourse.in/chapter....-9-pivot-table-in-ex
🔟 Link Slicers to Pivot Tables with VBA: https://skillcourse.in/chapter....-10-link-slicers-to-

⏱️ Video Timestamps for Easy Navigation:
- 00:00 - Intro
- 06:00 - Excel Basics
- 41:31- Data entry and basic formula
- 01:26:45 - Data cleaning and preparation
- 02:10:32 - Logical functions
- 02:32:02 - Sort and filter
- 02:58:35 - Vlookup, match and index
- 03:46:01 - Statistical formulas
- 04:16:00 - Date formulas
- 04:34:25 - Pivot table
- 05:03:10 - Dashboard project in excel

💼 Why Watch This?

Save time and effort with efficient techniques.
Gain the confidence to tackle real-world data challenges.
Boost your productivity and career growth effortlessly.

🔔 Subscribe Now! Click the Subscribe button and join our growing community of learners. Transform the way you work with data and achieve your professional goals today! 🌟

FLASH FILL VIDEO :- https://www.youtube.com/watch?v=akWJU9g-tlg&t
DATA VALIDATION VIDEO :- https://www.youtube.com/watch?v=eGonGCJzMJk&t
SKILL COURSE 10X TOOL VIDEO :- https://www.youtube.com/watch?v=bbwwSM1LRNE
PIVOT TABLE VIDEO :- https://www.youtube.com/watch?v=ZnsP_ChzZJw

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#DataAnalysis

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wisdom
3 Views · 2 months ago

What’s the difference between a Data Analyst and a Data Engineer? While both work with data, their roles, tools, and workflows are quite different.

In this video, we break it down for you:

🔹 Work Type & Responsibilities

Data Analysts focus on interpreting data, creating reports, and generating insights for decision-making.
Data Engineers build and maintain the infrastructure that allows analysts and businesses to access clean, structured data.
🔹 Tools They Use

Data Analysts: SQL, Python, Excel, Tableau, Power BI
Data Engineers: Hadoop, Spark, Airflow, Kafka, Snowflake, ETL tools
🔹 How They Work

Data Analysts extract, clean, and visualize data for business insights.
Data Engineers design and optimize databases, build data pipelines, and ensure data flows efficiently.
By the end of this video, you’ll have a clear understanding of which role might be the best fit for your skills and career goals.

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Hashtags:
#DataAnalyst #DataEngineer #BigData #ETL #SQL #Python #Tableau #Hadoop #DataScience #MachineLearning #DataPipeline #TechJobs #Analytics

YouTube Tags:
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wisdom
5 Views · 2 months ago

💻Take my Full Excel Course Here: https://www.analystbuilder.com..../courses/excel-for-d

Download Datasets: https://github.com/AlexTheAnalyst/Excel-Tutorial

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RESOURCES:

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Coursera Courses:
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Data Analysis with Python - https://coursera.pxf.io/BXY3Wy
IBM Data Analysis Specialization - https://coursera.pxf.io/AoYOdR
Tableau Data Visualization - https://coursera.pxf.io/MXYqaN

Udemy Courses:
Python for Data Science - https://bit.ly/3Z4A5K6
Statistics for Data Science - https://bit.ly/37jqDbq
SQL for Data Analysts (SSMS) - https://bit.ly/3fkqEij
Tableau A-Z - http://bit.ly/385lYvN

*Please note I may earn a small commission for any purchase through these links - Thanks for supporting the channel!*
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Want to support the channel? Consider becoming a member! I do Monthly Livestreams and you get some awesome Emoji's to use in chat and comments!

https://www.youtube.com/channe....l/UC7cs8q-gJRlGwj4A8
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Websites:
💻Website: AlexTheAnalyst.com
💾GitHub: https://github.com/AlexTheAnalyst
📱Instagram: @Alex_The_Analyst
____________________________________________

0:00 Intro
0:37 Conditional Formatting
20:00 Pivot Tables
35:57 Charts and Graphs
49:22 Formulas and Functions
1:21:41 Lookups
1:39:03 Data Cleaning
1:57:46 Full Project in Excel

*All opinions or statements in this video are my own and do not reflect the opinion of the company I work for or have ever worked for*

wisdom
23 Views · 2 months ago

One career role that has been the entry gate for many to enter the Data & AI field is "Data Analyst". In this video, we will look at the complete roadmap to learn skills required for the Data Analyst role in 2026 using free learning resources, a week-by-week study plan and checklists. This video also shows how I'd learn Data Analytics if I had to start over.

Roadmap with Weekly Study Plan & Free Resources - https://resources.codebasics.io/h7pceX

Is a Data Analyst a Good Career in 2026? - https://youtu.be/NWsU7lRAGr8

Data Analyst Suitability Test: https://resources.codebasics.io/mrDUBr

Notion Study Tracker - https://storm-margin-1aa.notio....n.site/codebasics-da

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🎮 Want to learn by doing? Datakata is a free, super fun game where you build data pipelines hands-on: https://resources.codebasics.io/Ahkp3O

Industry experts featured here:

Nate Moran : https://www.linkedin.com/in/nathanmoran/

Raghavan P : https://www.linkedin.com/in/raghavan-rp/

Ronaldo Anzanello : https://www.linkedin.com/in/ro....naldo-anzanello-b075

Peeyush Garg : https://www.linkedin.com/in/peeyush-garg-7a76133a/


Reports Referred:

World Economic Forum Report: https://www.weforum.org/public....ations/the-future-of

US Bureau of Labor Statistics: https://www.bls.gov/ooh/fastest-growing.htm

LinkedIn Jobs on the Rise 2025: https://www.linkedin.com/pulse..../linkedin-jobs-rise-

MIT Report: https://fortune.com/2025/08/18..../mit-report-95-perce

MIT Report 2: https://www.csail.mit.edu/news..../rethinking-ais-impa

⭐️ Timestamps ⭐️

0:00 Intro
2:00 Current Job Market & Salaries
3:51 Suitability Test & Overview of the Roadmap
5:46 Data Analyst Categories
14:31 Conversation with Experts
18:45 Evolution of DA Role & Becoming Market Fit
22:55 Importance of Communication Skills
24:36 Data Analyst Skills Matrix
26:48 Foundation of Your DA Preparation
33:05 Excel & Business Math / Stats
35:01 Importance of LinkedIn & Assignments
38:38 BI Tools (Power BI / Tableau)
43:37 Networking
44:44 Domain Knowledge
48:33 SQL, Resume & Portfolio
52:34 Data Engineering Basics & Stakeholder Management
55:05 Python, Pandas & AI Generalist
57:33 Leveraging Domain Knowledge & Problem Solving
59:19 Automations & Collaborations
1:00:14 Interview Prep, Practice & Supplementary Learning
1:04:02 Tips & Final Thoughts

Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses.

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wisdom
14 Views · 2 months ago

🔥Enroll for Data Analytics Course: https://intellipaat.com/data-a....nalytics-master-trai

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In this video, we bring you a complete roadmap to becoming a data analyst with our Data Analytics Full Course 2026. Starting from the basics of Python, you’ll gradually move into powerful libraries like NumPy and Pandas, and learn how to visualize data using Matplotlib and Seaborn. This Data Analytics Full Course 2026 is designed for beginners as well as aspiring professionals who want to build strong foundations and practical skills in data analysis.

As the course progresses, you’ll dive into Exploratory Data Analysis (EDA), Excel for data analytics, and SQL to manage and query real-world datasets. You’ll also explore industry tools like Power BI to create interactive dashboards and gain insights. This Data Analytics Full Course 2026 ensures you not only understand concepts but also apply them effectively through hands-on learning.

Finally, we take you through a real-world IPL dataset analysis and share powerful data analytics project ideas to help you build your portfolio and stand out in the job market. Whether you’re preparing for interviews or switching careers, this course gives you everything you need to start your journey in data analytics.

📖 Below are the concepts covered in the video on "Data Analytics Full Course":
00:00:00 – Introduction to Data Analyst Course
00:01:49 – Python Basics
00:06:03 – NumPy Arrays
00:08:55 – Pandas Operations
01:14:59 – Matplotlib Visualizations
02:05:25 – Seaborn Styling
02:53:30 – EDA Techniques
03:18:24 – Excel for Data Analytics
04:15:02 – SQL
07:09:35 – Power BI
09:34:14 – Analyzing IPL Dataset
10:29:51 – Data Analytics Project Ideas

#dataanalytics #dataanalyticscourse #dataanalyticsfullcourse #datascience #pythonfordataanalysis


➡️ About the Course:
The Intellipaat Data Analytics Master Training Course is a comprehensive program designed to help learners master key data analytics skills such as data cleaning, preprocessing, exploratory data analysis (EDA), and statistical analysis. It covers essential tools and technologies including Python, SQL, Excel, and Power BI, along with real-world projects and case studies to build practical experience. The course is structured to cater to both beginners and professionals, offering hands-on learning, industry-relevant curriculum, and career support to help learners transition into data analyst roles successfully.

➡️ Key Features of the Course:
✅Master data cleaning, preprocessing, EDA, and statistical analysis
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✅Covers statistics, probability, and data analysis techniques
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📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

📚For more information, please write back to us at sales@intellipaat.com or call us at IND: +91-7022374614 / US : 1-800-216-8930

wisdom
15 Views · 2 months ago

If you want to break into data analytics or strengthen your existing skills, this Data Analytics Full Course FREE by Intellipaat, is designed to take you from fundamentals to real-world analysis in one complete learning journey.

This video covers the core tools, techniques, and workflows used by professional Data Analysts, including Python, NumPy, Pandas, data visualization, Excel, SQL, and Power BI. You’ll also work on a real IPL dataset to understand how data analytics is applied in real business and sports scenarios.

Whether you’re a fresher, working professional, or career switcher, this course helps you build a strong foundation, understand industry expectations, and get hands-on experience with practical projects.

Below are the topics covered in the 'Data Analytics Course For Beginners':
00:00:00 – Introduction to Data Analyst Course
00:01:49 – Python Basics
00:06:03 – NumPy Arrays
00:08:55 – Pandas Operations
01:14:59 – Matplotlib Visualizations
02:05:25 – Seaborn Styling
02:53:30 – EDA Techniques
03:18:24 – Excel for Data Analytics
04:15:02 – SQL
07:09:35 – Power BI
09:34:14 – Analyzing IPL Dataset
10:29:51 – Data Analytics Project Ideas

#dataanalyticsfullcourse #dataanalyticsfullcourse2025 #dataanalayticstutorialforbeginners #intellipaat

🔥Enroll for Intellipaat's Data Analytics Course: https://intellipaat.com/data-a....nalytics-master-trai

➡️ About the Course
The growing need for data-driven decision-making in competitive businesses has resulted in a notable increase in the demand for skilled Data Analysts. This course covers an in-depth understanding of data analysis, including machine learning algorithms, statistical techniques, optimization techniques, and data visualization.

➡️ Key Features - (Course Features)
✅ 50+ Live sessions across 7 months
✅ 218 Hrs of Self-paced tutorial videos
✅ 200 Hrs of Project & Exercises
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✅ 1-on-1 sessions with industry mentors

➡️ What’s Covered in This Program?
✅ Linux and Python Fundamentals
✅ Data Wrangling with SQL
✅ Statistics And Probability
✅ Machine Learning
✅ Performance Metrics
✅ Time Series Forecasting
✅ Data Modeling
✅ Microsoft Excel
✅ Visualizations using Power BI

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

📚For more information, please write back to us at sales@intellipaat.com or call us at IND: +91-7022374614 / US : 1-800-216-8930

wisdom
7 Views · 2 months ago

"️🔥IBM - Data Analyst - https://www.simplilearn.com/data-analyst-certification-course?utm_campaign=xhFDYKqWlqw&utm_medium=DescriptionFFF&utm_source=Youtube
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In this Data Analytics with Excel full course, you will learn what data analytics is, why data analytics is necessary, the types of data analytics, and the various data analytics applications.

Dataset Link - https://drive.google.com/drive..../folders/1U8CF0Xx3Ni

00:00:00 Functions and Formulas
03:39:13 Conditional Formatting
04:19:27 Data Validation
06:55:57 Pivot chart & Pivot Table

⏩ Check out the Data Analytics Playlist: link: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

#DataAnalyticsWithExcel #DataAnalyticsUsingExcel #DataAnalyticsFullCourse #DataAnalyticsForBeginners #LearnDataAnalytics #DataAnalysis #DataAnalytics #Simplilearn

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This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

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- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
-
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars

✅ Skills Covered

- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

👉 Learn More at: https://www.simplilearn.com/data-science-course?utm_campaign=DataAnalytics-xhFDYKqWlqw&utm_medium=Description&utm_source=youtube
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wisdom
38 Views · 2 months ago

🔥Data Analyst Masters Program (Discount - YTBE15) - https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=o5M8nYqnj2A&utm_medium=Lives&utm_source=Youtube
🔥IIT Kanpur - Professional Certificate Course in Data Analytics and Generative AI (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=o5M8nYqnj2A&utm_medium=Lives&utm_source=Youtube
🔥IIT Delhi - Data Analytics, Generative AI And Adaptive System - https://www.simplilearn.com/data-science-course?utm_campaign=o5M8nYqnj2A&utm_medium=Lives&utm_source=Youtube
🔥IIT Kanpur - Professional Certificate Course in Data Analytics and Generative AI - https://www.simplilearn.com/iitg-generative-ai-data-analytics-program?utm_campaign=o5M8nYqnj2A&utm_medium=Lives&utm_source=Youtube

This Data Analytics with Python Full Course 2026 by Simplilearn is designed to help beginners and professionals learn how to analyze data using Python in a clear, step-by-step way. The course starts with Python basics and essential libraries like NumPy, Pandas, and Matplotlib, then moves into data cleaning, manipulation, and visualization techniques. You will learn how to work with datasets, perform exploratory data analysis, and generate insights for decision-making. The training also covers statistical concepts, real-world examples, and practical workflows used by data analysts. As you progress, you’ll explore projects that demonstrate how Python is applied in business and analytics scenarios. This free course is ideal for anyone looking to build strong data analytics skills and prepare for data-related career opportunities in 2026.

Related Videos:
✅ 1. https://www.youtube.com/watch?v=gcF31GuwSEs
✅ 2. https://www.youtube.com/watch?v=5ycsYtFH6s4
✅ 3. https://www.youtube.com/watch?v=Onjs26YvfIQ
✅ 4. https://www.youtube.com/watch?v=crZIWsWy4fs
✅ 5. https://www.youtube.com/watch?v=5XyqWTaTVDk

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⏩ Check out More AI Videos By Simplilearn: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULyr_

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➡️ About Professional Certificate Program in Data Analytics and Generative AI

Amidst data abundance, businesses today are leveraging analytics and AI for operational efficiency and innovation. This IIT Guwahati Data Analytics Program with Gen AI equips learners with in-demand skills in data analytics and generative AI. It covers key tools and concepts like Excel, SQL, Python, exploratory data analysis, ETL, Tableau, and more.

Key Features
✅ Certificate of program completion from the E&ICT Academy at IIT Guwahati
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wisdom
14 Views · 2 months ago

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0:00 Intro
0:52 Download and UI Walkthrough
11:59 Power Query
24:14 Joins and Relationships
31:57 DAX
46:41 Drill Down
51:48 Groups
1:00:28 Conditional Formatting
1:09:26 Visualizations
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*All opinions or statements in this video are my own and do not reflect the opinion of the company I work for or have ever worked for*

wisdom
19 Views · 2 months ago

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The Excel for Data Analytics Full Course By Simplilearn starts with an introduction to data analytics and a roadmap to becoming a data analyst, explaining the steps involved in data analytics and distinguishing between data analysts and data scientists. It covers Microsoft Excel basics, progressing to advanced Excel topics like pivot tables, dashboards, ANOVA, and Power Pivot. The course explores making money with Excel, using ChatGPT for automation and data analytics, and web scraping in Excel. It also introduces Python in Excel and explains how to perform Exploratory Data Analysis (EDA). The course concludes with top Excel formulas for analysts and data analytics interview questions to help learners prepare for job roles.

Following are the topics covered in the Excel For Data Analytics Tutorial For Beginners:

00:00:00 Introduction to Excel For Data Analytics
00:01:24 What is Data Analytics
00:08:15 How to become data analyst
00:16:33 Data Analyst Roadmap
00:20:14 Steps Involved in Data Analytics
00:22:18 Data Science Vs Data Analyst
00:36:36 What is Microsoft Excel
05:49:37 Excel Tutoring For Beginners
05:56:37 How to Make Money with Excel
06:12:14 Chatgpt and Excel with Data Analytics
06:15:38 Descriptive Analysis Vs Statistics
06:44:53 Python in excel
07:03:13 Excel Dashboard For Beginners
07:11:42 Annova in excel
07:24:24 Learn EXCEL Using Google Gemini
07:35:17 Power Pivot in Excel
07:44:38 How To Use Copilot In Excel?
08:15:37 Excel Using ChatGPT
08:19:06 Web Scraping in Excel
08:20:27 Chatgpt for data analytics
08:55:32 Top 10 Important Excel Formulas For Analysts
09:44:33 EDA with Python
10:33:39 Data Analytics Interview Questions

⏩ Check out the Excel tutorial videos: https://www.youtube.com/watch?v=nPkmWE4JCfE&list=PLEiEAq2VkUUKf8aLrspLg3zuyJ5S-5K5S

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➡️ About Data Analyst Master’s Program
This online data analyst course will transform you into a data analytics expert. In this certification course, you will learn the latest analytics tools and techniques, how to work with SQL, the languages of R and Python, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment.

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- Simplilearn's JobAssist helps you get noticed by top hiring companies
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- Ask-Me-Anything (AMA) sessions with IBM leadership
- Capstone from 3 domains and 20+ projects
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- Program crafted to initiate your journey as a Data Analyst

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis using Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using KMeans
- Supervised Learning
- Unsupervised Learning



👉 Learn More at:

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wisdom
8 Views · 2 months ago

Welcome to our comprehensive and free statistics tutorial (Full Lecture)! In this video, we'll explore essential tools and techniques that power data science and data analytics, helping us interpret data effectively. You'll gain a solid foundation in key statistical concepts and learn how to apply powerful statistical tests widely used in modern research and industry. From descriptive statistics to regression analysis and beyond, we'll guide you through each method's role in data-driven decision-making. Whether you're diving into machine learning, business intelligence, or academic research, this tutorial will equip you with the skills to analyze and interpret data with confidence. Let's get started!

► EBOOK
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► Statistics Calculator
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► Tutorials
https://numiqo.com/tutorial/de....scriptive-inferentia

0:00 Intro
1:52 Basics of Statistics
21:56 Level of Measurement
34:56 t-Test
51:18 ANOVA (Analysis of Variance)
1:05:36 Two-Way ANOVA
1:21:51 Repeated Measures ANOVA
1:36:22 Mixed-Model ANOVA
1:48:04 Parametric and non parametric tests
1:55:49 Test for normality
2:03:56 Levene's test for equality of variances
2:08:11 Mann-Whitney U-Test
2:17:06 Wilcoxon signed-rank test
2:28:30 Kruskal-Wallis-Test
2:38:45 Friedman Test
2:49:12 Chi-Square test
2:59:46 Correlation Analysis
3:27:07 Regression Analysis
4:35:31 k-means clustering
4:44:02 Confidence interval

wisdom
11 Views · 2 months ago

Data Analytics Full Course (2026) by Intellipaat, designed to help you master the essential tools and skills required to become a successful Data Analyst. In this free, step-by-step course, you’ll learn everything from Python programming and Excel to SQL and Power BI, along with hands-on projects that help you build real-world experience.

We’ll start with the basics of Python, NumPy, and Pandas to handle and analyze data efficiently. Then, you’ll explore data visualization using Matplotlib and Seaborn, and move on to Exploratory Data Analysis (EDA) the most crucial part of any data project. You’ll also dive deep into Excel functions, SQL queries, and Power BI dashboards to uncover meaningful business insights. By the end of this course, you’ll have the complete knowledge and confidence to work on data analytics projects and land your dream Data Analyst job.

Below are the topics covered in the 'Data Analytics Course For Beginners':
00:00:00 – Introduction to Data Analyst Course
00:01:58 – Python Basics
00:06:12 – Numpy Arrays
00:09:04 – Pandas Operations
01:15:08 – Matplotlib Visualisations
02:05:34 – Seaborn Styling
02:53:39 – EDA Techniques
03:18:33 – Excel For Data Analytics
04:15:11 – SQL
07:09:44 – Power BI
09:34:23 – Analyzing IPL Dataset
10:30:00 – Data Analytics Project Ideas

#dataanalyticsfullcourse #dataanalyticsfullcourse2025 #dataanalayticstutorialforbeginners #intellipaat

🔥Enroll for Intellipaat's Data Analytics Course: https://intellipaat.com/data-a....nalytics-master-trai

➡️ About the Course
The growing need for data-driven decision-making in competitive businesses has resulted in a notable increase in the demand for skilled Data Analysts. This course covers an in-depth understanding of data analysis, including machine learning algorithms, statistical techniques, optimization techniques, and data visualization.

➡️ Key Features - (Course Features)
✅ 50+ Live sessions across 7 months
✅ 218 Hrs of Self-paced tutorial videos
✅ 200 Hrs of Project & Exercises
✅ Learn from industry professionals and IIT Faculty
✅ 1-on-1 sessions with industry mentors

➡️ What’s Covered in This Program?
✅ Linux and Python Fundamentals
✅ Data Wrangling with SQL
✅ Statistics And Probability
✅ Machine Learning
✅ Performance Metrics
✅ Time Series Forecasting
✅ Data Modeling
✅ Microsoft Excel
✅ Visualizations using Power BI

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

📚For more information, please write back to us at sales@intellipaat.com or call us at IND: +91-7022374614 / US : 1-800-216-8930

wisdom
8 Views · 2 months ago

Learn the basics of Python, Numpy, Pandas, Data Visualization, and Exploratory Data Analysis in this course for beginners. This was originally presented as a live course.

By the end of the course, you will be able to build an end-to-end real-world course project and earn a verified certificate of accomplishment. There are no prerequisites for this course.

Learn more and register for a certificate of accomplishment here: http://zerotopandas.com

‼️ Some of the data files used in this course are now in a new location. Some of the data you can find in this repo: https://github.com/the-strange....r-web/jovian_Data_An

💻 Code References
• First steps with Python: https://jovian.ai/aakashns/first-steps-with-python
• Variables and data types: https://jovian.ai/aakashns/pyt....hon-variables-and-da
• Conditional statements and loops: https://jovian.ai/aakashns/pyt....hon-branching-and-lo
• Functions and scope: https://jovian.ai/aakashns/pyt....hon-functions-and-sc
• Working with OS & files: https://jovian.ai/aakashns/pyt....hon-os-and-filesyste
• Numerical computing with Numpy: https://jovian.ai/aakashns/pyt....hon-numerical-comput
• 100 Numpy exercises: https://jovian.ai/aakashns/100-numpy-exercises
• Analyzing tabular data with Pandas: https://jovian.ai/aakashns/pyt....hon-pandas-data-anal
• Matplotlib & Seaborn tutorial: https://jovian.ai/aakashns/pyt....hon-matplotlib-data-
• Data visualization cheat sheet: https://jovian.ai/aakashns/dataviz-cheatsheet
• EDA on StackOverflow Developer Survey: https://jovian.ai/aakashns/pyt....hon-eda-stackoverflo
• Opendatasets python package: https://github.com/JovianML/opendatasets
• EDA starter notebook: https://jovian.ai/aakashns/zer....otopandas-course-pro

❤️ Try interactive Python courses in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from Scrimba)

⭐️ Course Contents ⭐️
0:00:00 Introduction

Lecture 1
0:01:42 Python Programming Fundamentals
0:02:40 Course Curriculum
0:05:24 Notebook - First Steps with Python and Jupyter
0:08:30 Performing Arithmetic Operations with Python
0:11:34 Solving Multi-step problems using variables
0:20:17 Combining conditions with Logical operators
0:22:22 Adding text using Markdown
0:23:50 Saving and Uploading to Jovian
0:26:38 Variables and Datatypes in Python
0:31:28 Built-in Data types in Python
1:07:19 Further Reading

Lecture 2
1:08:46 Branching Loops and Functions
1:09:02 Notebook - Branching using conditional statements and loops in Python
1:09:24 Branching with if, else, elif
1:15:25 Non Boolean conditions
1:19:00 Iteration with while loops
1:28:57 Iteration with for loops
1:36:27 Functions and scope in Python
1:36:53 Creating and using functions
1:42:24 Writing great functions in Python
1:45:38 Local variables and scope
2:08:19 Documentation functions using Docstrings
2:11:40 Exercise - Data Analysis for Vacation Planning

Lecture 3
2:17:17 Numercial Computing with Numpy
2:18:00 Notebook - Numerical Computing with Numpy
2:26:09 From Python Lists to Numpy Arrays
2:29:09 Operating on Numpy Arrays
2:34:33 Multidimensional Numpy Arrays
3:03:41 Array Indexing and Slicing
3:17:49 Exercises and Further Reading
3:20:50 Assignment 2 - Numpy Array Operations
3:29:16 100 Numpy Exercises
3:31:25 Reading from and Writing to Files using Python

Lecture 4
4:02:59 Analysing Tabular Data with Pandas
4:03:58 Notebook - Analyzing Tabular Data with Pandas
4:16:33 Retrieving Data from a Data Frame
4:32:00 Analyzing Data from Data Frames
4:36:27 Querying and Sorting Rows
5:01:45 Grouping and Aggregation
5:11:26 Merging Data from Multiple Sources
5:26:00 Basic Plotting with Pandas
5:38:27 Assignment 3 - Pandas Practice

Lecture 5
5:52:48 Visualization with Matplotlib and Seaborn
5:54:04 Notebook - Data Visualization with Matplotlib and Seaborn
6:06:43 Line Charts
6:11:27 Improving Default Styles with Seaborn
6:16:51 Scatter Plots
6:28:14 Histogram
6:38:47 Bar Chart
6:50:00 Heatmap
6:57:08 Displaying Images with Matplotlib
7:03:37 Plotting multiple charts in a grid
7:15:42 References and further reading
7:20:17 Course Project - Exploratory Data Analysis

Lecture 6
7:49:56 Exploratory Data Analysis - A Case Study
7:50:55 Notebook - Exploratory Data Analysis - A case Study
8:04:36 Data Preparation and Cleaning
8:19:37 Exploratory Analysis and Visualization
8:54:02 Asking and Answering Questions
9:22:57 Inferences and Conclusions
9:25:00 References and Future Work
9:29:41 Setting up and running Locally
9:34:21 Project Guidelines
9:45:00 Course Recap
9:48:01 What to do next?
9:49:10 Certificate of Accomplishment
9:50:11 What to do after this course?
9:52:16 Jovian Platform

Correction:
3:11:27 The URL for the CSV file is changed. Instead, use https://raw.githubusercontent.....com/the-stranger-web

✏️ This course is taught by Aakash N S, co-founder, and CEO of Jovian.

Jovian's YouTube channel: https://youtube.com/jovianml

wisdom
12 Views · 2 months ago

🔵 Intellipaat Data Analytics course: https://intellipaat.com/data-s....cience-business-anal
In this Data Analytics In Excel Full Course video, you will learn what is Data Analytics
basics of excel, basic formulas & functions used in Excel, linear regression & statistics in excel, hands-on demo on VBA(Visual Basic Editor), Data Analytics interview questions.

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00:00 - Data Analytics in Excel
00:36 - What is Data Analytics?
03:51 - Need for Data Analytics
06:18 - Who are Data Analysts?
08:16 - Data Analysts: Common Tasks
11:23 - In A Gist
13:40 - Microsoft Excel Overview
17:47 - Getting Started with Microsoft Excel: Demo
36:42 - Formatting Excel & Shortcuts: Demo
45:27 - Basic Formulas
01:03:38 - Basic Formulas
02:02:42 - Pivot Tables
02:50:38 - Vlookup
03:40:06 - Index Function
04:19:13 - Lookup Function
06:15:44 - What is VBA?
06:21:44 - Using Macro Recorder
06:52:26 - Variables, Data types & Constants
07:39:15 - Decision Making
08:06:31 - Decision Making: Demo
08:45:49 - Data Analytics Interview Questions

🔵 Read the complete Data Science tutorial here: https://intellipaat.com/blog/t....utorial/data-science

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wisdom
16 Views · 2 months ago

In this Data Analytics full course, you’ll begin with Python basics and progress through NumPy arrays, Pandas operations, and data visualization using Matplotlib and Seaborn. You’ll learn powerful EDA techniques to uncover insights, followed by essential tools like Excel for Data Analytics, SQL, and Power BI for business reporting and dashboards. To strengthen hands-on learning, the course includes a real IPL dataset analysis and curated Data Analytics project ideas to help you build a strong portfolio.

This Data Analyst course for beginners is ideal for students, freshers, and working professionals looking to enter or grow in the analytics field. Whether you’re preparing for interviews or planning a career switch, this Data Analytics course gives you the skills and confidence to succeed.

Below are the topics covered in the 'Data Analytics Course For Beginners':
00:00:00 – Introduction to Data Analyst Course
00:01:58 – Python Basics
00:06:12 – Numpy Arrays
00:09:04 – Pandas Operations
01:15:08 – Matplotlib Visualisations
02:05:34 – Seaborn Styling
02:53:39 – EDA Techniques
03:18:33 – Excel For Data Analytics
04:15:11 – SQL
07:09:44 – Power BI
09:34:23 – Analyzing IPL Dataset
10:30:00 – Data Analytics Project Ideas

#dataanalyticsfullcourse #dataanalyticsfullcourse2025 #dataanalayticstutorialforbeginners #intellipaat

🔥Enroll for Intellipaat's Data Analytics Course: https://intellipaat.com/data-a....nalytics-master-trai

➡️ About the Course
The growing need for data-driven decision-making in competitive businesses has resulted in a notable increase in the demand for skilled Data Analysts. This course covers an in-depth understanding of data analysis, including machine learning algorithms, statistical techniques, optimization techniques, and data visualization.

➡️ Key Features - (Course Features)
✅ 50+ Live sessions across 7 months
✅ 218 Hrs of Self-paced tutorial videos
✅ 200 Hrs of Project & Exercises
✅ Learn from industry professionals and IIT Faculty
✅ 1-on-1 sessions with industry mentors

➡️ What’s Covered in This Program?
✅ Linux and Python Fundamentals
✅ Data Wrangling with SQL
✅ Statistics And Probability
✅ Machine Learning
✅ Performance Metrics
✅ Time Series Forecasting
✅ Data Modeling
✅ Microsoft Excel
✅ Visualizations using Power BI

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

📚For more information, please write back to us at sales@intellipaat.com or call us at IND: +91-7022374614 / US : 1-800-216-8930

wisdom
12 Views · 2 months ago

🚀 Power BI in Just 15 Minutes – The Ultimate Challenge! 🚀

Can you really learn Power BI in just 15 minutes? 💡
In this video, I took up the challenge to cover everything from loading data ➝ workflow understanding ➝ transformations ➝ relationships ➝ DAX formulas ➝ dashboard creation – ALL within 15 minutes ⏱️🔥

Whether you’re a beginner exploring data visualization or someone who wants a quick refresher, this video will give you a complete end-to-end view of Power BI in record time.

✨ What you’ll learn in this 15-min Power BI Challenge:

✅ Importing & Loading Data

✅ Power BI Workflow Explained

✅ Transforming Data with Power Query

✅ Building Relationships between Tables

✅ Writing Simple DAX Formulas

✅ Creating an Interactive Dashboard

⚡ This is not just theory – it’s a fast-track, practical demo to show you how powerful and simple Power BI can be when used smartly!


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wisdom
15 Views · 2 months ago

🔥Enroll for Data Science Course: https://intellipaat.com/data-s....cientist-course-trai

🔥𝐁𝐨𝐨𝐤 𝐲𝐨𝐮𝐫 𝐅𝐫𝐞𝐞 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬: https://forms.gle/g5tExa7e54xpYZW97

🚀 Looking for the best Data Science Full Course to kickstart your career in 2026? This comprehensive tutorial covers everything from Python for Data Science, Pandas, Data Visualization, Exploratory Data Analysis (EDA), and Machine Learning to Linear Regression, Logistic Regression, Support Vector Machine (SVM), Decision Trees, K-Means Clustering, and the latest MCP Server concepts. Designed for beginners, this course combines theory with practical implementation to help you master real-world Data Science skills.

📈 If you're preparing for a career as a Data Scientist, Data Analyst, AI Engineer, or Machine Learning Engineer, this course is your complete learning path. Build hands-on projects, strengthen your Python programming skills, prepare for Data Science interviews, and gain expertise in Artificial Intelligence, Machine Learning, Data Analytics, and Business Intelligence with Intellipaat's industry-focused training.


📖 Below are the concepts covered in the video on "Data Science Full Course":
00:00:00 - Introduction to Data Science Full Course 2026
00:01:28 – What is Data Science?
00:06:21 – Data Engineer vs Data Scientist vs Data Analyst
00:15:37 - Roadmap for Data Science
00:24:37 – Python for Data Science
00:27:18 – Pandas for Data Science
01:33:21 – Data Visualization with Matplotlib
02:23:45 – Exploratory Data Analysis (EDA)
03:02:43 – Machine Learning Types
03:14:09 – Linear Regression
06:31:13 – Logistic Regression
07:11:38 – Support Vector Machine (SVM)
07:13:21 – Decision Tree
07:15:51 – Clustering (K-Means)
08:11:08 – Data Science Project Walkthrough
09:31:43 – Data Science Interview Questions
10:36:58 – MCP Server Tutorial

#datasciencefullcourse #datasciencecourse2026 #learndatascience #datascience #intellipaat #trending

➡️ About the Course:
In this course, you will learn the fundamentals of Data Science along with important tools and technologies used in the industry. The program covers key concepts such as Python programming, statistics, machine learning, data visualization, and SQL, helping learners build strong analytical and technical skills. With hands-on projects, real-world case studies, and expert guidance, the course is designed to give practical experience and prepare learners for roles like Data Scientist, Data Analyst, and Machine Learning Engineer. It is suitable for beginners as well as professionals who want to start or advance their careers in the field of data science.

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

📚For more information, please write back to us at sales@intellipaat.com or call us at IND: +91-7022374614 / US : 1-800-216-8930

wisdom
31 Views · 2 months ago

🚨 WANT MORE? GET MY FULL SQL COURSE HERE: https://geni.us/lbia_sql

WATCH PART 2 HERE: https://youtu.be/gm6tNK_iOHs
WATCH PART 3 HERE: https://youtu.be/w3ea4fKiS2g

🎥 NEW NAVICAT TUTORIAL - https://youtu.be/f4TzPRJ6gLA

In this SQL tutorial for beginners, you'll learn how to write basic SQL queries to ask for data from databases in just 15 minutes. To become a Business Intelligence analyst, you'll need to know this valuable skill! Here I'll teach you what is SQL.

What you learn over the course of these videos can be applied to MySQL, PostgreSQL, SQL Server and others.


00:00 Introduction
01:12 Why learn SQL for BI?
02:22 Tutorial start
03:43 SQL SELECT statement
05:07 AS field alias
05:32 WHERE clause
09:54 ORDER BY clause
10:54 INNER JOIN
13:08 Aliasing tables
14:00 GROUP BY clause
15:58 HAVING clause
16:49 Outro

=============================
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Need guidance instead?
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Excel – https://geni.us/lbia_excel
SQL – https://geni.us/lbia_sql
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=============================
🎥 RECOMMENDED VIDEOS
=============================
7 Steps to Your 1st BI Job – https://geni.us/7stepstobivid
Learn Basic SQL (15 min) – https://geni.us/learnbasicsql15-1
BI For Beginners Playlist – https://geni.us/biforbeginners-play

=============================
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Dashboard Design Tips – https://geni.us/dashdes-ebook
Skills for BI Success – https://geni.us/biskills-ebook
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100 BI Analyst Interview Questions – https://geni.us/100-bi-questions

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Contact – https://learnbi.online/contact
Join My Mailing List – https://geni.us/PSgRsF

---

*Some links are affiliate links...*

🧑🏻‍💻 DATA. Get the database here - https://www.kaggle.com/hugomathien/soccer

mysql

#sqltutorial #sql #learnsql

wisdom
7 Views · 2 months ago

What is data analytics? In this video we have discussed what is data analysis in Hindi. Get to know about the types of data analysis and tools used for data analysis.

00:00 Introduction
00:22 What is Data Analytics
02:29 What does a Data Analyst Do?
04:24 Eduction to become a Data Analyst
05:05 3 Tools Used in Data Analytics

Explore our courses to kickstart your career as a Business Analyst!

1. Diploma in Financial and Data Analytics: https://tapx.it/diploma-in-fin....ancial-and-data-anal

2. Training program on Using AI for Business Growth for Finance & Compliance Professionals: https://tapx.it/training-ai-bu....siness-growth-financ

#dataanalytics #dataanalysis

wisdom
7 Views · 2 months ago

AI can write SQL.

AI can generate DAX.

AI can even write Python code.

So does it still make sense to become a Data Analyst in 2026?

In this video, I share my honest opinion based on my journey from Data Entry to Senior Data Analyst, how AI is changing the way we work, and why I still think Data Analytics remains one of the best entry points into IT for freshers and career switchers.

We'll discuss:

✅ Is Data Analytics still worth it in 2026?

✅ How AI is impacting Data Analyst jobs

✅ Why Data Analytics is a gateway to multiple careers

✅ Who should NOT become a Data Analyst

✅ Who SHOULD consider Data Analytics

✅ My personal experience using AI at work

✅ The future of Data Analytics careers

If you're a fresher, career switcher, or someone planning to enter Data Analytics, this video will help you make a better decision.

==========================

Link to Download Interview Questions & Answers PDF :

HCL Tech Power BI Interview Questions - https://topmate.io/shivam_shrivastav/1249888

Epam Systems Power BI Interview Questions - https://topmate.io/shivam_shrivastav/876971

Marsh McLennan Power BI Interview Questions - https://topmate.io/shivam_shrivastav/838183

Morgan Stanley SQL Interview Questions - https://topmate.io/shivam_shrivastav/902480

==========================

Power BI Interview Playlist
https://www.youtube.com/watch?v=YS21DqrDQwo&list=PLKt0I9MZCrz7-Y2oICLYwbSZXnOfCpPIj

DAX in Hindi Playlist
https://www.youtube.com/playli....st?list=PLKt0I9MZCrz

Time Intelligence Interview Playlist
https://www.youtube.com/watch?v=m0Y_zC7M_10&list=PLKt0I9MZCrz5JoGOi3qXa_Nant5inWR6D

3 Minutes of Pandas Full Playlist
https://www.youtube.com/watch?v=EyFcwhyBEw8&list=PLKt0I9MZCrz7qJyblHdQe2Rl-rxQ15aQz

Connect 1:1 with me
https://topmate.io/shivam_shrivastav

Follow me on LinkedIn
https://www.linkedin.com/in/sh....ivam-shrivastav-2219

Follow me on Instagram
https://www.instagram.com/shivam.ai.data/

==========================

Related Video:

🎥 Best Data Analyst Certifications to Find a Job Fast in 2026

==========================

Comment below:

Are you a:

Fresher?
Career Switcher?
Already Working as a Data Analyst?

I'd love to know your journey.

wisdom
15 Views · 2 months ago

🔥Enroll for Data Science Course: https://intellipaat.com/data-s....cientist-course-trai

🔥𝐁𝐨𝐨𝐤 𝐲𝐨𝐮𝐫 𝐅𝐫𝐞𝐞 𝐌𝐚𝐬𝐭𝐞𝐫𝐜𝐥𝐚𝐬𝐬: https://forms.gle/g5tExa7e54xpYZW97

🚀 Master Data Science from scratch with this complete Data Science Full Course 2026. Learn Python for Data Science, Pandas, Data Visualization with Matplotlib, Exploratory Data Analysis (EDA), Machine Learning, Linear Regression, Logistic Regression, Support Vector Machine (SVM), Decision Trees, K-Means Clustering, and the latest MCP Server tutorial. This beginner-friendly course covers industry-relevant concepts with practical examples to help you build a strong foundation in Data Science and Artificial Intelligence.

📊 Whether you're a student, working professional, aspiring Data Scientist, Data Analyst, or Machine Learning Engineer, this course will help you develop in-demand skills through hands-on projects, interview preparation, and real-world applications. Start your journey toward a successful career in Data Science, AI, Machine Learning, Python, and Data Analytics with this comprehensive tutorial by Intellipaat.

📖 Below are the concepts covered in the video on "Data Science Full Course":
00:00:00 - Introduction to Data Science Full Course 2026
00:01:38 – What is Data Science?
00:06:32 – Data Engineer vs Data Scientist vs Data Analyst
00:15:48 - Roadmap for Data Science
00:24:48 – Python for Data Science
00:27:29 – Pandas for Data Science
01:33:32 – Data Visualization with Matplotlib
02:23:56 – Exploratory Data Analysis (EDA)
03:02:54 – Machine Learning Types
03:14:20 – Linear Regression
06:31:24 – Logistic Regression
07:11:49 – Support Vector Machine (SVM)
07:13:32 – Decision Tree
07:16:02 – Clustering (K-Means)
08:11:19 – Data Science Project Walkthrough
09:31:54 – Data Science Interview Questions
10:37:09 – MCP Server Tutorial

#datasciencefullcourse #datasciencecourse2026 #learndatascience #whatisdatascience #live #intellipaat

➡️ About the Course:
In this course, you will learn the fundamentals of Data Science along with important tools and technologies used in the industry. The program covers key concepts such as Python programming, statistics, machine learning, data visualization, and SQL, helping learners build strong analytical and technical skills. With hands-on projects, real-world case studies, and expert guidance, the course is designed to give practical experience and prepare learners for roles like Data Scientist, Data Analyst, and Machine Learning Engineer. It is suitable for beginners as well as professionals who want to start or advance their careers in the field of data science.

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

📚For more information, please write back to us at sales@intellipaat.com or call us at IND: +91-7022374614 / US : 1-800-216-8930

wisdom
34 Views · 2 months ago

Welcome to our comprehensive and free statistics tutorial (Full Lecture)! In this video, we'll explore essential tools and techniques that power data science and data analytics, helping us interpret data effectively. You'll gain a solid foundation in key statistical concepts and learn how to apply powerful statistical tests widely used in modern research and industry. From descriptive statistics to regression analysis and beyond, we'll guide you through each method's role in data-driven decision-making. Whether you're diving into machine learning, business intelligence, or academic research, this tutorial will equip you with the skills to analyze and interpret data with confidence. Let's get started!

► EBOOK
https://numiqo.com/statistics-book

► Statistics Calculator
https://numiqo.com/statistics-....calculator/descripti

► Tutorials
https://numiqo.com/tutorial/de....scriptive-inferentia

0:00 Intro
1:52 Basics of Statistics
21:56 Level of Measurement
34:56 t-Test
51:18 ANOVA (Analysis of Variance)
1:05:36 Two-Way ANOVA
1:21:51 Repeated Measures ANOVA
1:36:22 Mixed-Model ANOVA
1:48:04 Parametric and non parametric tests
1:55:49 Test for normality
2:03:56 Levene's test for equality of variances
2:08:11 Mann-Whitney U-Test
2:17:06 Wilcoxon signed-rank test
2:28:30 Kruskal-Wallis-Test
2:38:45 Friedman Test
2:49:12 Chi-Square test
2:59:46 Correlation Analysis
3:27:07 Regression Analysis
4:35:31 k-means clustering
4:44:02 Confidence interval

wisdom
32 Views · 2 months ago

One career role that has been the entry gate for many to enter the Data & AI field is "Data Analyst". In this video, we will look at the complete roadmap to learn skills required for the Data Analyst role in 2026 using free learning resources, a week-by-week study plan and checklists. This video also shows how I'd learn Data Analytics if I had to start over.

Roadmap with Weekly Study Plan & Free Resources - https://resources.codebasics.io/h7pceX

Is a Data Analyst a Good Career in 2026? - https://youtu.be/NWsU7lRAGr8

Data Analyst Suitability Test: https://resources.codebasics.io/mrDUBr

Notion Study Tracker - https://storm-margin-1aa.notio....n.site/codebasics-da

🚀 Ready to go from Data Analyst to AI-Enabled Data Engineer? Our live bootcamp takes you from dashboards to production pipelines: https://resources.codebasics.io/5yaUOR

🎮 Want to learn by doing? Datakata is a free, super fun game where you build data pipelines hands-on: https://resources.codebasics.io/Ahkp3O

Industry experts featured here:

Nate Moran : https://www.linkedin.com/in/nathanmoran/

Raghavan P : https://www.linkedin.com/in/raghavan-rp/

Ronaldo Anzanello : https://www.linkedin.com/in/ro....naldo-anzanello-b075

Peeyush Garg : https://www.linkedin.com/in/peeyush-garg-7a76133a/


Reports Referred:

World Economic Forum Report: https://www.weforum.org/public....ations/the-future-of

US Bureau of Labor Statistics: https://www.bls.gov/ooh/fastest-growing.htm

LinkedIn Jobs on the Rise 2025: https://www.linkedin.com/pulse..../linkedin-jobs-rise-

MIT Report: https://fortune.com/2025/08/18..../mit-report-95-perce

MIT Report 2: https://www.csail.mit.edu/news..../rethinking-ais-impa

⭐️ Timestamps ⭐️

0:00 Intro
2:00 Current Job Market & Salaries
3:51 Suitability Test & Overview of the Roadmap
5:46 Data Analyst Categories
14:31 Conversation with Experts
18:45 Evolution of DA Role & Becoming Market Fit
22:55 Importance of Communication Skills
24:36 Data Analyst Skills Matrix
26:48 Foundation of Your DA Preparation
33:05 Excel & Business Math / Stats
35:01 Importance of LinkedIn & Assignments
38:38 BI Tools (Power BI / Tableau)
43:37 Networking
44:44 Domain Knowledge
48:33 SQL, Resume & Portfolio
52:34 Data Engineering Basics & Stakeholder Management
55:05 Python, Pandas & AI Generalist
57:33 Leveraging Domain Knowledge & Problem Solving
59:19 Automations & Collaborations
1:00:14 Interview Prep, Practice & Supplementary Learning
1:04:02 Tips & Final Thoughts

Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses.

Need help building software or data analytics/AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website.

🎥 Codebasics Hindi channel: https://www.youtube.com/channe....l/UCTmFBhuhMibVoSfYo

#️⃣ Social Media #️⃣

🧑‍🤝‍🧑 Discord for Community Support: https://discord.gg/r42Kbuk
📸 Codebasics' Instagram: https://www.instagram.com/codebasicshub/
📝 Codebasics' Linkedin : https://www.linkedin.com/company/codebasics/

------

📝 Dhaval's Linkedin : https://www.linkedin.com/in/dhavalsays/
📝 Hem's Linkedin: https://www.linkedin.com/in/hemvad/

📽️ Hem's Instagram for daily tips: https://www.instagram.com/hemvadivel/
📸 Dhaval's Personal Instagram: https://www.instagram.com/dhavalsays/

🔗 Patreon: https://www.patreon.com/codeba....sics?fan_landing=tru

wisdom
10 Views · 2 months ago

In this video, I break down the top websites and platforms where you can learn data analytics completely free, many with certificates included!
Subscribe for more free tech learning content, career guides, and opportunities.🔔

Free Data Analytics Platforms Mentioned:
Google Data Analytics Certificate (Coursera)
🔗 https://grow.google/certificates/data-analytics/
Apply via NEMISA for free access:
https://www.nemisa.co.za/

IBM Data Analyst Certificate
Coursera: https://www.coursera.org/profe....ssional-certificates
IBM SkillsBuild (Free): https://skillsbuild.org/

Microsoft Learn – Power BI Path
🔗 https://learn.microsoft.com/en....-us/training/paths/a

Harvard University (via edX)
🔗 https://online-learning.harvar....d.edu/subject/data-s

Springboard – Free Data Analytics Prep
🔗 https://www.springboard.com/le....arning-paths/data-an

Great Learning Academy
🔗 https://www.mygreatlearning.com/academy

Kaggle Learn
🔗 https://www.kaggle.com/learn

DataCamp (Free version + scholarships)
🔗 https://www.datacamp.com/

LinkedIn Learning (via Library Card)
🔗 https://www.linkedin.com/learning

Bonus Platforms for Learning Analytics
edX (Audit Free) → https://www.edx.org/

MOOC.org → https://www.mooc.org/

Alison – Data Analytics Courses → https://alison.com/tag/data-analytics

FutureLearn → https://www.futurelearn.com/su....bjects/it-and-comput

wisdom
22 Views · 2 months ago

🔥AI-Powered Business Analyst (Discount Code - YTBE15) - https://www.simplilearn.com/business-analyst-certification-training-course?utm_campaign=8cu3am4jV1E&utm_medium=Lives&utm_source=Youtube
🔥CBAP® Certification Training - https://www.simplilearn.com/project-management/cbap-preparatory-course-training?utm_campaign=8cu3am4jV1E&utm_medium=Lives&utm_source=Youtube

This video on AI Powered Business Analytics With Excel Full Course by Simplilearn will help you learn how to use Excel for business analytics with AI to generate insights and support data-driven decisions. The course begins with an introduction to business analytics and explains how AI is transforming data analysis in modern organizations. You will learn the fundamentals of Excel including formulas, functions, data cleaning, and data manipulation. The tutorial covers important concepts such as data visualization, dashboards, and reporting using Excel. You will understand how to use AI-powered features for forecasting, automation, and predictive analysis. The course also explains how to analyze large datasets, identify trends, and create business reports. You will learn real-world use cases of Excel in marketing, finance, and operations. By the end of this Excel for business analytics tutorial, you will clearly understand how to combine Excel and AI to improve productivity and make better business decisions.

Following are the topics covered in AI Powered Business Analytics With Excel Full Course 2026:

00:00:00 - Introduction To AI Powered Business Analytics With Excel Full Course 2026
00:02:40 - Excel exposure and first quirks
00:07:20 - Excel history and modern capabilities
00:21:22 - Excel size and date facts
00:31:03 - Analytics terminology and roles
00:48:07 - Analytics value evolution
01:01:02 - Sheet shortcuts and expert habits
01:21:46 - Selection shortcuts and navigation
01:35:10 - Excel interface and basic actions
01:55:05 - Business analytics applications
02:26:58 - Formatting and calculation exercise
03:12:42 - Cell referencing practice
03:51:18 - Data cleaning concepts
04:10:05 - Importing data and data types
04:33:14 - Sorting and filtering datasets
05:00:04 - Grouping, text splitting, subtotals
05:33:02 - Text functions for preparation
06:16:32 - Conditional formatting workflows
07:26:34 - Logical functions In Excel


Related Videos:
✅ 1. https://youtu.be/GSE526ZxTSA
✅ 2. https://youtu.be/RD_Mtdoj4Ao
✅ 3.https://youtu.be/DxQh9PUsiZQ
✅ 4. https://youtu.be/HGi5xFyaFDU
✅ 5.https://youtu.be/dW_hpopoKz8

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out More Such Videos By Simplilearn: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

#aipoweredbusinessanalytics #businessanalytics #excelfullcourse #exceltutorial #dataanalytics #ai #aiinexcel #excelforbeginners #advancedexcel #dataanalysis #businessintelligence #exceldashboard #excel2026 #learnexcel #businessanalysttraining #simplilearn #2026

➡️ About AI-Powered Business Analyst

The AI-Powered Business Analyst course helps you master planning, elicitation, stakeholder management, and solution evaluation. Gain hands-on experience with Excel, SQL, Power BI, GenAI, and build job-ready skills in Agile, product thinking, RPA, and more. Earn a certificate to boost your credibility.

Key Features

✅ Earn 35 PDs/CDUs with the BABOK® v3 aligned CBAP® Certification Live Training
✅ Master 10+ GenAI Powered in-demand business analysis tools like Power BI, Excel, SQL, and more
✅ Engage with 10+ industry projects and 40+ case-based activities using real-world tools and scenarios
✅ Explore AI-Powered Business Analysis with Generative AI tools like ChatGPT, Copilot & more
✅ Learn to identify automation opportunities, document processes, and collaborate with RPA teams
✅ Earn official trophy and badges for ‘Microsoft Azure Data Fundamentals’ on the Microsoft Learn portal
✅ Develop skills in Agile frameworks, backlog grooming, stakeholder mapping, design thinking, and BPMN
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered
✅ Business Analysis
✅ Data Elicitation
✅ Data Analysis
✅ Data Visualization
✅ Data Cleaning
✅ Data Preparation
✅ Life Cycle Management
✅ Strategy Analysis
✅ Solution Evaluation
✅ Excel Macros
✅ Excel VBA
✅ Pivot Table
✅ Dashboarding
✅ Data Modeling
✅ Model Calculations
✅ Model Performance
✅ Documentation
✅ Collaboration
✅ Process Mining
✅ Agile Thinking
✅ Agile Methodologies
✅ Design Thinking
✅ Data Querying

👉 Enroll Now: https://www.simplilearn.com/business-analyst-certification-training-course?utm_campaign=8cu3am4jV1E&utm_medium=Lives&utm_source=Youtube

wisdom
3 Views · 2 months ago

Build job-ready skills by learning from the best
Get started in the in-demand field of data analytics with a Professional Certificate from IBM. Learn the core principles of data analysis and gain experience with data manipulation using Python and Excel, applying analytical techniques, and working with a variety of data sources.

✅Course Material: https://mega.nz/file/HBYViQRb#....P7X4-tPnJjhDu5gEtEO5

✅An alternative link to access the file: https://drive.google.com/file/....d/1rjbNTknDaOpOcfd6Y

👉Database Engineering By Meta : https://youtu.be/iwRneX7GIGI
👉Applied Data Science By IBM: https://youtu.be/AMtFSAt0tZ0
👉Applied Data Science with R By IBM: https://youtu.be/5phPXk1ypZE

⭐⭐⭐⭐🕑TIME STAMP📋⭐⭐⭐⭐⭐

👉INTRODUCTION TO DATA ANALYTICS
0:00:00 Modern Data Ecosystem and the Role of data analytics
0:21:48 The Data Analyst Role
0:39:39 The Data Ecosystem and Language for Data Professionals
1:08:41 Understandig Data Repositories and Big Data platforms
1:47:03 Gathering Data
2:03:47 Wrangling Data
2:26:55 Analyzing and Mining Data
2:46:33 Communicating Data Analysis Findings
3:11:19 Opportunities and Learning Paths

👉EXCEL BASICS FOR DATA ANALYSIS
3:40:06 Introduction to Spreadsheets for Data Analysis
4:06:37 Getting Started Using Spreadsheets
4:42:03 Basics of Data Quality and Privacy
5:01:55 Cleaning Data
5:30:02 Data Analysis Basics Filtering and Sorting Data
6:05:57 Using Pivot Tables

👉DATA VISUALIZATION AND DASHBOARDS EXCEL AND COGNOS
6:26:48 Creating Charts
6:50:32 Creating Advanced Charts
7:04:27 Creating Dashboards Using Spreadsheets
7:21:39 Creating Dashboards using IBM Cognos Analytics

👉PYTHON FOR DATA SCIENCE, AI & DEVELOPMENT
7:35:08 Types
7:38:11 Expressions and Variables
7:42:06 String Operations
7:46:04 Lists and Tuples
7:54:56 Dictionaries
7:57:21 Sets
8:02:39 Conditions and Branching
8:12:56 Loops
8:19:42 Functions
8:33:14 Exception Handling
8:37:03 Objects and Classes
8:47:56 Reading Writing files with open
8:54:34 Pandas
8:59:43 Numpy in Python
9:18:21 Simple APIs
9:28:41 REST APIs Webscraping and Working with Files

👉PYTHON PROJECT FOR DATA SCIENCE
9:51:59 Optional Intro to Webscraping

👉DATABASES AND SQL FOR DATA SCIENCE WITH PYTHON
10:01:58 Basic SQL
10:20:58 Introduction to Relational Databases and tables
10:43:05 Refining your Results
10:53:59 Functions Multiple Tables and Sub Queries
11:14:43 Accessing Databases Using Python
11:41:55 Assignment Preparing working with real world data sets and build in SQL
11:54:53 View Stored Procedures and Transactions
12:05:41 Join Statements

👉DATA ANALYSIS WITH PYTHON
12:18:16 Import Datasets
12:38:02 Data Wrangling
12:57:26 Exploratory Data Analysis
13:17:06 Model Development
13:44:31 Model Evaluation and Refinement

👉DATA VISUALIZATION WITH PYTHON
14:05:42 Welcome
14:10:13 Introduction to Data Visualization
14:32:21 Basic Visualization tools
14:45:36 Specialized Visualization tools
14:58:24 Advanced Visualization tools
15:03:48 Visualization Geospatial Data
15:13:06 Creating dashboards with plotly and dash

👉IBM DATA ANALYST CAPSTONE PROJECT
15:30:37 Welcome to the Course
15:33:49 How to Present your Findings

♥️♥️Thanks for watching don't forget to like and Subscribe♥️♥️

🧾 For Earning the Certificate, Enroll in this Course here®️: https://www.coursera.org/profe....ssional-certificates


✨✨PLEASE IGNORE THESE TAGS✨✨
data analyst tutorial for beginners,
#dataanalysttutorial,
#dataanalystcourse,
#dataanalytics,
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wisdom
14 Views · 2 months ago

What’s the difference between a Data Analyst and a Data Engineer? While both work with data, their roles, tools, and workflows are quite different.

In this video, we break it down for you:

🔹 Work Type & Responsibilities

Data Analysts focus on interpreting data, creating reports, and generating insights for decision-making.
Data Engineers build and maintain the infrastructure that allows analysts and businesses to access clean, structured data.
🔹 Tools They Use

Data Analysts: SQL, Python, Excel, Tableau, Power BI
Data Engineers: Hadoop, Spark, Airflow, Kafka, Snowflake, ETL tools
🔹 How They Work

Data Analysts extract, clean, and visualize data for business insights.
Data Engineers design and optimize databases, build data pipelines, and ensure data flows efficiently.
By the end of this video, you’ll have a clear understanding of which role might be the best fit for your skills and career goals.

Welcome to the Three 90 Challenge by GeeksforGeeks!
✅ Complete 90% of your course in 90 days
✅ Get 90% of your fee refunded!

Yes, you read that right! 🌟 Over ₹5 CRORE in refunds processed already, and YOURS could be next.

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—-

Follow us for more coding challenges, interview prep, and learning resources:
📱 Download GeeksforGeeks' Official App: https://play.google.com/store/....apps/details?id=free
💬 Twitter: https://twitter.com/geeksforgeeks
🧑‍💼 LinkedIn: https://www.linkedin.com/company/geeksforgeeks
📷 Instagram: https://www.instagram.com/geeks_for_geeks/
💌 Telegram: https://t.me/geeksforgeeks_official
📌 Pinterest: https://in.pinterest.com/geeksforgeeks/
🎮 Discord: https://discord.gg/geeksforgeeks

—-

Hashtags:
#DataAnalyst #DataEngineer #BigData #ETL #SQL #Python #Tableau #Hadoop #DataScience #MachineLearning #DataPipeline #TechJobs #Analytics

YouTube Tags:
data analyst vs data engineer, data engineer vs data analyst, data analyst tools, data engineer tools, SQL vs Python, data engineering workflow, data processing, ETL tools, data science jobs, business intelligence, data analytics, database management, tech careers, gfg, gfg courses, gfg classes

wisdom
9 Views · 2 months ago

Learn Data Analysis Essentials in Excel in Just 12 minutes!
🚀 Take our Data Analyst Program here: https://www.careerprinciples.c....om/career-track/the-

🆓 DOWNLOAD Free Excel Dataset file for this video: https://careerprinciples.myflodesk.com/hnvo5wptlf

In this tutorial using a real-world dataset on the Olympics, we go over the 4 core steps of data analysis in excel. First, we clean up the data. For this, we create a backup of the raw dataset, remove duplicates, and more. Then, we transform the data. This includes replacing certain values, filling in the blanks, and using the TRIM and PROPER functions to clean up. Third, we do the analysis with Pivot Tables and functions, where our manager is asking us a series of questions. Finally, we visualize the data with charts and pivot table slicers.

LEARN:
👉 Excel for Business & Finance Course: https://www.careerprinciples.c....om/courses/excel-for
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Chapters:
0:00​ -​ Part 1: Clean
2:08​ - Part 2: Transform
4:39​ - Part 3: Analyze
8:52​ - Part 4: Visualize

wisdom
30 Views · 2 months ago

"Complete SQL Roadmap for Beginners | Learn SQL Step-by-Step in 2025" is your step-by-step guide to mastering databases! Whether you’re a data analyst, developer, or beginner, this video covers everything from SQL basics to advanced queries, joins, functions, and real-world projects. Learn how to extract, manage, and analyze data efficiently using SQL — one of the most in-demand skills in tech. Perfect for anyone starting their data journey in 2025. Watch till the end to access free resources and accelerate your SQL learning path!

#SQL #DataAnalytics #Database #LearningSQL #Tech2025 #Intellipaat #shorts

wisdom
19 Views · 2 months ago

Explore the data ecosystem, find out where data analytics fits into that system, and go over some common misconceptions you might run into in the field of data analytics. Mastering these data basics will help you empower organizations to make data-driven decisions.

0:00 Data All Around Us
5:32 How Data Becomes Insights
9:24 Working Within the Data Ecosystem
13:52 How Data Informs Better Decisions

This video is part of the Google Data Analytics Certificate which teaches learners how to prepare, process, analyze, share, and act on data.

The program, created by Google employees in the field, is designed to provide you with job-ready skills in about 6 months to start or advance your career in data analytics.

Take the Certificate HERE: https://www.coursera.org/google-certificates/data-analytics-certificate?utm_source=google&utm_medium=institutions&utm_campaign=youtube-organic__geo--Global&utm_content=vid--GbL-42kv5LI__topic--DA&utm_term=youtube-description

Subscribe HERE: https://goo.gle/subscribegcc

#GrowWithGoogle #GoogleCareerCertificate #DataAnalytics

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► A path to in-demand jobs: Connect with top employers who are currently hiring.

wisdom
10 Views · 2 months ago

Enroll in my Data Analyst course here: https://www.codewithharry.com/....courses/the-ultimate
➡️ International Students: https://buy.stripe.com/28E00lgXZ7Mk2kC1wd1gs08
➡️ International Students Alt link: https://codeharry.gumroad.com/l/da


Early Bird Discount ends in 24 hours!

Download the Roadmap PDF: https://cwh-full-next-space.fr....a1.cdn.digitaloceans

➡️ Download Notes and CheatSheets: https://www.codewithharry.com/notes/
➡️ Udemy Python Course: https://goharry.in/python
➡️ Checkout Data Science The Ultimate Job Ready Data Science Course: https://www.codewithharry.com/....courses/the-ultimate
➡️ Data Science (International Students): https://buy.stripe.com/9B65kF3790jS2kCeiZ1gs04
➡️ Career Advice:
If you are into college and C/C++/Java is being taught, please continue with it. Here are my respective videos/playlists:
Learn C Programming: https://www.youtube.com/watch?v=aZb0iu4uGwA
Learn C++ Programming: https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Learn Java Programming: https://www.youtube.com/playli....st?list=PLu0W_9lII9a

But if you are not in college and want to learn programming, then I would suggest you to start with Python.

Also if you are a beginner and want to learn programming, start with Python. It is beginner-friendly and has a large community for support and a lot of jobs. If you're serious, start with my Udemy course in English. Its updated + has a lot of projects. Here is the discounted link which will get you this course for less than ₹400-500. I request you to leave a review if you have enrolled:
Udemy Course: https://goharry.in/python

After you finish this course, you can start with Data Science. It is a very profitable field to get into and has a lot of job opportunities. You can learn Data Science through my "Ultimate Job Ready Data Science Course". It is a complete course that covers everything you need to know to get a job in Data Science. Here is the discounted link to the course that will get you this course for ₹2899:
Data Science Course: https://www.codewithharry.com/....courses/the-ultimate

If you are looking for free resources to learn Python, you can start with my Python Course on YouTube. It is a complete course that covers everything you need to know to become a Python developer. Its Free and you can access it here:
10 Hour Long Python Course (VS Code): https://www.youtube.com/watch?v=UrsmFxEIp5k
100 Days of Code Playlist that uses Replit: https://www.youtube.com/playli....st?list=PLu0W_9lII9a

If you want to learn web development, you can start with my Sigma Web Development Course. It is a complete course that covers everything you need to know to become a web developer. Its Free and you can access it here:
Web Development Course: https://www.youtube.com/playli....st?list=PLu0W_9lII9a

If you want to learn Data Structures and Algorithms, you can start with my Data Structures and Algorithms Course. It is a complete course that covers everything you need to know to become a good programmer. Its Free and you can access it here:
Data Structures and Algorithms Course: https://www.youtube.com/playli....st?list=PLu0W_9lII9a

➡️ Other Tutorials:
Wordpress[3.2 Hr]:https://www.youtube.com/watch?v=GlLRYml8mCY&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Angular[2 Hr]:https://www.youtube.com/watch?v=0LhBvp8qpro&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
GUI Development with Python: https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Linux[1 Hr]:https://www.youtube.com/watch?v=_tCY-c-sPZc&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7

➡️ More Advise from Harry:
Many people say that in the AI era , programming is dead. But I don't think so. AI is a tool that can help you in your programming journey. But dont overuse it in the beginning. Try to learn basics first!
AI can help you write better code, debug your code, and even help you learn new programming languages. So don't be afraid of AI, embrace it and use it to your advantage. Talk to ChatGPT daily and you will realize how quickly you can learn new things and build software. What others think is a disadvantage will become your advantage.

➡️ Hosting
If you want to host a website on a VPS and get $200 in credits, use my DigitalOcean Link
Get Free 200$ DigitalOcean Credits here: https://m.do.co/c/2f2aa100b7ee

➡️ Follow Me On Social Media
► Website (Created Using Next.js): https://www.codewithharry.com
► Facebook: https://www.facebook.com/CodeWithHarry
► Instagram: https://www.instagram.com/CodeWithHarry/
► Twitter: https://twitter.com/CodeWithHarry
► English channel: https://www.youtube.com/channe....l/UC7btqG2Ww0_2LwuQx
Comment "#HarryBhai" if you read this 😉😉

wisdom
5 Views · 2 months ago

Build job-ready skills by learning from the best
Get started in the in-demand field of data analytics with a Professional Certificate from IBM. Learn the core principles of data analysis and gain experience with data manipulation using Python and Excel, applying analytical techniques, and working with a variety of data sources.

✅Course Material: https://mega.nz/file/HBYViQRb#....P7X4-tPnJjhDu5gEtEO5

✅An alternative link to access the file: https://drive.google.com/file/....d/1rjbNTknDaOpOcfd6Y

👉Database Engineering By Meta : https://youtu.be/iwRneX7GIGI
👉Applied Data Science By IBM: https://youtu.be/AMtFSAt0tZ0
👉Applied Data Science with R By IBM: https://youtu.be/5phPXk1ypZE

⭐⭐⭐⭐🕑TIME STAMP📋⭐⭐⭐⭐⭐

👉INTRODUCTION TO DATA ANALYTICS
0:00:00 Modern Data Ecosystem and the Role of data analytics
0:21:48 The Data Analyst Role
0:39:39 The Data Ecosystem and Language for Data Professionals
1:08:41 Understandig Data Repositories and Big Data platforms
1:47:03 Gathering Data
2:03:47 Wrangling Data
2:26:55 Analyzing and Mining Data
2:46:33 Communicating Data Analysis Findings
3:11:19 Opportunities and Learning Paths

👉EXCEL BASICS FOR DATA ANALYSIS
3:40:06 Introduction to Spreadsheets for Data Analysis
4:06:37 Getting Started Using Spreadsheets
4:42:03 Basics of Data Quality and Privacy
5:01:55 Cleaning Data
5:30:02 Data Analysis Basics Filtering and Sorting Data
6:05:57 Using Pivot Tables

👉DATA VISUALIZATION AND DASHBOARDS EXCEL AND COGNOS
6:26:48 Creating Charts
6:50:32 Creating Advanced Charts
7:04:27 Creating Dashboards Using Spreadsheets
7:21:39 Creating Dashboards using IBM Cognos Analytics

👉PYTHON FOR DATA SCIENCE, AI & DEVELOPMENT
7:35:08 Types
7:38:11 Expressions and Variables
7:42:06 String Operations
7:46:04 Lists and Tuples
7:54:56 Dictionaries
7:57:21 Sets
8:02:39 Conditions and Branching
8:12:56 Loops
8:19:42 Functions
8:33:14 Exception Handling
8:37:03 Objects and Classes
8:47:56 Reading Writing files with open
8:54:34 Pandas
8:59:43 Numpy in Python
9:18:21 Simple APIs
9:28:41 REST APIs Webscraping and Working with Files

👉PYTHON PROJECT FOR DATA SCIENCE
9:51:59 Optional Intro to Webscraping

👉DATABASES AND SQL FOR DATA SCIENCE WITH PYTHON
10:01:58 Basic SQL
10:20:58 Introduction to Relational Databases and tables
10:43:05 Refining your Results
10:53:59 Functions Multiple Tables and Sub Queries
11:14:43 Accessing Databases Using Python
11:41:55 Assignment Preparing working with real world data sets and build in SQL
11:54:53 View Stored Procedures and Transactions
12:05:41 Join Statements

👉DATA ANALYSIS WITH PYTHON
12:18:16 Import Datasets
12:38:02 Data Wrangling
12:57:26 Exploratory Data Analysis
13:17:06 Model Development
13:44:31 Model Evaluation and Refinement

👉DATA VISUALIZATION WITH PYTHON
14:05:42 Welcome
14:10:13 Introduction to Data Visualization
14:32:21 Basic Visualization tools
14:45:36 Specialized Visualization tools
14:58:24 Advanced Visualization tools
15:03:48 Visualization Geospatial Data
15:13:06 Creating dashboards with plotly and dash

👉IBM DATA ANALYST CAPSTONE PROJECT
15:30:37 Welcome to the Course
15:33:49 How to Present your Findings

♥️♥️Thanks for watching don't forget to like and Subscribe♥️♥️

🧾 For Earning the Certificate, Enroll in this Course here®️: https://www.coursera.org/profe....ssional-certificates


✨✨PLEASE IGNORE THESE TAGS✨✨
data analyst tutorial for beginners,
#dataanalysttutorial,
#dataanalystcourse,
#dataanalytics,
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wisdom
3 Views · 2 months ago

Data Analyst Roadmap | How to Become a Data Analyst | Learn Data Analytics Skills for FREE | Data Analyst Roadmap 2025

Hi Guys! Ready to launch a high-paying career in data analytics with salaries up to ₹20 LPA?

This video provides a step-by-step guide to becoming a data analyst fast, even if you're starting from scratch.

🔍 What’s Inside This Video:
✅ Who is a Data Analyst?
✅ What a Data Analyst does—and why it's a future-proof, in-demand career
✅ Core skills you must master: Excel, SQL, Python, Power BI & Communication skills
✅ A month-by-month study plan to build your data analyst resume
✅ Tips to crack interviews and get hired by top companies

⭐ Download Data Analyst Roadmap pdf (Google Drive link):
https://drive.google.com/file/....d/1ePq-U69FHKzlyTpqH

⭐ Timestamps

✅ 00:00 - Intro
✅ 00:15 - Who is a data analyst?
✅ 01:28 - How Zomato uses data analysis to drive results.
✅ 02:12 - Top Data Analyst Roadmap
✅ 04:27 - Data Analyst Certificates
✅ 04:41 - How to download data analyst roadmap

Whether you're starting fresh or transitioning to tech, this video has everything you need to know to become a successful data analyst from ground 0. Watch till the end for free resources to become a data analyst.

📲 Connect with Me:
🔗 Instagram:
https://www.instagram.com/abhaybhagatdata/

🔗 LinkedIn:
https://www.linkedin.com/in/abhaybhagat29

📧 Email: abhaybhagatquery@gmail.com

Tags :
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wisdom
7 Views · 2 months ago

🔥 Learn Python for Data Analysis in this full Python tutorial for beginners! From basics & data types to OOPs, functions, file handling, and real-world projects — this complete Python course will make you job-ready.

Welcome to the Part 3 Full Python Tutorial 🐍 — a complete beginner-friendly guide to Python for Data Analysis and beyond! In this video, you’ll learn everything from Python basics to advanced concepts like OOPs, Exception Handling, Date & Time, and File I/O. We’ll also work on two practical projects — so by the end, you won’t just “know Python,” you’ll be able to apply it like a pro.

This tutorial includes real error messages and debugging so you learn how to fix issues in real-time — exactly like working on real-world projects!

⏱️ Timestamps:

00:00 - Teaser
00:58 - Understanding Core
04:47 - Setting up Python
07:11 - Introduction
07:28 - Basics & Data Types
39:36 - Operators
53:29 - Data Structures
01:23:35 - Control Statements
01:27:09 - Loops
01:42:15 - Mini Project (Student Marks Example)
02:03:57 - Functions & Modules
02:27:49 - Exception Handling
02:35:26 - OOPs (Classes & Objects)
02:41:01 - Date & Time in Python
02:49:30 - Advanced Python Concepts
02:49:49 - Comprehensions
02:55:17 - File I/O (Read & Write Files)
03:11:16 - Final Project (Sales Data Analysis)

✅ Topics Covered in This Python Tutorial:

Why Python is essential for Data Analysis

Setting up Python & IDEs

Basics of Python: Variables, Data Types, and Operators

Lists, Tuples, Sets, Dictionaries (Data Structures)

Control Statements & Loops (with debugging examples)

Functions and Modules

Exception Handling (try-except blocks)

Object-Oriented Programming: Classes, Objects, Inheritance

Working with Date & Time

Python Comprehensions (List, Dict, Set)

File Handling: Reading & Writing files

Advanced Python tricks for Data Analysis

🎬 Mini Project (Student Marks Example):
We’ll create a small project to understand loops, control statements, and data structures using a student marks dataset. This makes learning concepts practical and beginner-friendly.

📊 Final Project (Sales Data Analysis):
At the end, we’ll build a real-world project using a sales dataset (furniture & product sales).
You’ll write 10 different Python queries to analyze data by:

Product category & sales trends

Filtering & conditional logic

Summaries with loops & functions

User-defined logic with conditions

👉 Plus, you’ll get exercise questions to extend this project and practice on your own.

📁 Download All Files: https://datasteroid.in/python-resource-files/

📌 Who Should Watch This Video?

Beginners in Python & Programming

Aspiring Data Analysts and Data Scientists

Students preparing for coding interviews

Anyone who wants to move from Excel/SQL to Python

👍 If you found this tutorial helpful, LIKE, SUBSCRIBE, and SHARE with your friends.
💬 Got questions? Drop a comment — I reply to everyone!

#PythonTutorial #LearnPython #PythonProject #PythonForDataAnalysis #PythonForBeginners #DataAnalytics #DataScience #OOPs #PythonCourse #PythonInterviewQuestions #SalesDataProject
#project #dataanalysis #datasciencefullcourse #analysedataasdataanalyst

wisdom
18 Views · 2 months ago

If you want to become a Data Analyst and build a rewarding data analytics career, this video is
your complete step-by-step roadmap, from absolute beginner to job-ready professional.

Whether you’re a student, career switcher, or working professional, this video will help you
understand what a data analyst does, how to learn data analytics, and how to get your first data analyst job in India or anywhere in the world.

Upskill yourself with industry-relevant courses from Educative: https://www.educative.io/student?aff=KNle

🔍 Covered in this video:
---------------------------------------
• Where to start your data analytics journey and what skills to learn first
• How to master the foundation phase - Excel for Data Analysts, statistics, and data cleaning
basics
• The tools & programming phase - Python, SQL, and Power BI essentials explained
• The visualization & insight phase - learn how to build dashboards, analyze trends, and tell data
stories
• The projects & portfolio phase - how to build impactful data analyst projects that get you
noticed
• Job prep & interview phase - how to build your data analyst resume, crack interviews, and get
shortlisted
• How to get practical experience even without a job or internship

🎯 Who Should Watch This Video?
----------------------------------------------------------
• Students exploring data analytics for beginners
• Working professionals planning a career change to data analytics
• Freshers preparing for data analyst interviews and resume shortlisting
• Anyone curious about data analyst roles, salaries, and growth paths

💻 Laptops I recommend
-------------------------------------------
HP 15 (13th Gen Intel Core i3) : https://amzn.to/48GWqoH (Best under ₹40K)
ASUS Vivobook S16 : https://amzn.to/4pUKhmb (Best under ₹70K)
Apple 2025 MacBook Air : https://amzn.to/45tXMQq (Best under ₹1 Lakh)
Apple 2024 MacBook Pro : https://amzn.to/4o0NZce (Best Overall)

🎯 Target Audience
--------------------------------
Students who are confused about “Which career is best for me?”
Beginners exploring IT career options
Professionals planning a career switch to future-proof roles

🍿 Watch next
------------------------
https://www.youtube.com/playli....st?list=PLwSrW2kc0xB

🔗 Connect with me
---------------------------------
📸 Instagram: https://www.instagram.com/realaaqibshaikh
💼 LinkedIn: https://www.linkedin.com/in/akberhusain-shaikh

🛠️ Tools I use
--------------------------
Mic I Use: https://amzn.to/3UWjyr8
Camera: https://amzn.to/42aFS45
Camera Stand: https://amzn.to/4n8lEjv
Green Screen: https://amzn.to/47omFzw
Phone: https://amzn.to/4mTjnZG
Desk/Chair Setup: https://amzn.to/41U5xy7

📚 Books I recommend
---------------------------------------
How to win friends and influence people: https://amzn.to/4n8fTT4
Atomic habits : https://amzn.to/41Ev8ea
The 4-Hour Work Week : https://amzn.to/46isVHX
The Psychology of Money : https://amzn.to/46tqD7Z

🚨 Disclaimer: While I share my personal experience and insights in this video, I am not a professional career advisor or consultant. I aim to provide valuable advice based on my career journey, but it’s always a good idea to seek professional guidance if needed.

#dataanalyst #dataanalystjobs #datacareer #TechCareerGuide #CareerAdvice #FutureProofJobs #HighPayingJobs
#AkberShaikh #Akber Shaikh #Akbar Shaikh #MediocreKuchKar

⏱️ Timecodes
-------------------------
00:00 - Why it is a good choice
00:25 - Why listen to me
00:35 - The Problem
00:57 - The Solution
01:07 - Will AI replace the job?
02:15 - Do you need a degree?
02:49 - What salary can I expect?
03:20 - How long will it take to learn?
03:43 - Where to start, what to learn
03:48 - Foundation Phase
04:14 - Tools & Programming Phase
04:57 - Visualization & Insight Phase
05:19 - Advance Analytics Phase
05:54 - Projects and Portfolio Phase
06:20 - Job Prep & Interview Phase
06:46 - Will I get a job after learning everything?
07:29 - How to actually get a Job

wisdom
16 Views · 2 months ago

Want to become a Data Analyst but don’t know where to start? This Data Analytics Full Course by Intellipaat takes you through every step from fundamentals to practical applications helping you build job-ready skills in 2025. You’ll start by understanding the Data Analytics roadmap, then dive into Python basics, NumPy arrays, and Pandas operations for effective data manipulation. Next, explore Matplotlib and Seaborn for stunning visualizations and learn EDA techniques to extract meaningful insights. The course also covers Excel for analytics, SQL for querying databases, and Power BI for interactive dashboards.

Finally, we’ll explore real-world data analytics project ideas and top interview questions to help you prepare for your career as a data analyst. Whether you’re a beginner or professional looking to upskill, this video is your one-stop guide to mastering Data Analytics.

Below are the topics covered in the 'Data Analytics Course For Beginners':
00:00:00 – Introduction to Data Analytics Course
00:00:41 – Roadmap to become Data Analyst
00:05:48 – Python Basics
00:10:02 – Numpy Arrays
00:12:54 – Pandas Operations
01:18:58 – Matplotlib Visualisations
02:14:24 – Seaborn Styling
02:57:29 – EDA Techniques
03:22:23 – Excel For Data Analytics
04:19:01 – SQL
07:12:24 – Power BI
09:36:10 – Data Analytics Project Ideas
09:46:58 – Interview Questions

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➡️ About the Course
The growing need for data-driven decision-making in competitive businesses has resulted in a notable increase in the demand for skilled Data Analysts. This course covers an in-depth understanding of data analysis, including machine learning algorithms, statistical techniques, optimization techniques, and data visualization.

➡️ Key Features - (Course Features)
✅ 50+ Live sessions across 7 months
✅ 218 Hrs of Self-paced tutorial videos
✅ 200 Hrs of Project & Exercises
✅ Learn from industry professionals and IIT Faculty
✅ 1-on-1 sessions with industry mentors

➡️ What’s Covered in This Program?
✅ Linux and Python Fundamentals
✅ Data Wrangling with SQL
✅ Statistics And Probability
✅ Machine Learning
✅ Performance Metrics
✅ Time Series Forecasting
✅ Data Modeling
✅ Microsoft Excel
✅ Visualizations using Power BI

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wisdom
29 Views · 2 months ago

💻 Check out all my Full Courses on Analyst Builder: https://www.analystbuilder.com/

25% Off Analyst Builder Code: BOOTCAMP

In this video you're going to learn an immense amount about Data Analytics! Estimated time to complete if you follow along is 6 weeks!

Be sure to download the files and code for the lessons below:

GitHub Repo for Bootcamp: https://github.com/AlexTheAnalyst?tab=repositories

Parks and Rec File: https://github.com/AlexTheAnal....yst/MySQL-YouTube-Se

____________________________________________

BECOME A MEMBER -

Want to support the channel? Consider becoming a member! I do Monthly Livestreams and you get some awesome Emoji's to use in chat and comments!

https://www.youtube.com/channe....l/UC7cs8q-gJRlGwj4A8
____________________________________________

Websites:
💻Website: AlexTheAnalyst.com
💾GitHub: https://github.com/AlexTheAnalyst
📱Instagram: @Alex_The_Analyst
____________________________________________

0:00 Introductions
17:30 MySQL
4:30:00 Excel
7:18:00 Tableau
8:54:00 Power BI
11:06:30 Python
14:01:30 Pandas
16:45:00 Python Projects
18:23:30 Building a Portfolio Website
18:59:00 Creating a Resume
19:16:30 Practicing for Technical Interviews
20:19:43 Azure
21:39:50 AWS
23:24:00 How to use LinkedIn to Land a Job

*All opinions or statements in this video are my own and do not reflect the opinion of the company I work for or have ever worked for*

wisdom
22 Views · 2 months ago

🔥Data Analyst Masters Program - https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=kdYuk1JWBzE&utm_medium=Description&utm_source=Youtube
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🔥IITG - Data Analytics and Generative AI (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=kdYuk1JWBzE&utm_medium=Description&utm_source=Youtube

This video on Data Analyst Full Course 2026 by Simplilearn will help you learn data analytics from beginner to advanced level and understand how to analyze data and generate insights for business decision making. The course begins with an introduction to data analytics and explains the role of a data analyst in modern organizations. You will learn the fundamentals of data collection, data cleaning, and data transformation. The tutorial covers important tools such as Excel, SQL, Python, Tableau, and Power BI. You will understand how to perform exploratory data analysis, create dashboards, and visualize data effectively. The course also explains key concepts like statistics, data modeling, and business intelligence. You will learn how to identify trends, patterns, and insights from datasets. By the end of this data analytics tutorial for beginners, you will clearly understand data analytics tools, techniques, and skills needed to start a career as a data analyst.

Following are the topics covered in the Data Analyst Full Course 2026:

00:00:00 - Introduction to Data Analytics Full Course 2026
00:03:55 - What Is Data Analytics?
00:10:15 - Data Analyst Roadmap 2026
00:21:09 - Business Analyst vs Data Analyst
00:29:54 - Data Analytics For Beginners
00:39:43 - Data Analytics Using R
01:32:38 - Excel for Data Analytics 2026
01:35:16 - What is Data Analytics
01:37:25 - Types of Data Analytics
01:40:40 - Why Excel is Still Relevant for Data Analysis
01:44:10 - Excel Interface and Key Functions
01:48:22 - Text To Columns
01:53:31 - Age Groups Creation Using Conditional Statements in Excel
01:57:23 - Flash Fill in Excel
01:59:16 - LEFT() in Excel
02:03:32 - Data Validation in Excel
02:09:58 - Workbook
02:11:40 - Alt+H+O+I (auto adjust Cell width in Excel) Alt+H+OA (Auto Adjust Cell Height in Excel)
02:13:33 - Freeze Cells in Excel
02:14:11 - Statistics in Excel
02:21:33 - Filter Function in Excel (Load Data Copying or moving in excel)
02:23:29 - Data Analytics in Excel (What-If Analysis in excel, Forecast in excel)
02:25:56 - How to import Data to excel
02:26:38 - Pivot Tables in Excel
02:28:33 - Pivot Analyze and Pivot Charts in Excel
02:36:05 - How to build an interactive Dashboard in Excel
02:38:21 - How to insert Slicers in Excel
02:40:21 - Report Connections in Slicers
02:41:43 - Power BI Tutorial for Beginners
02:44:43 - Chapter 1: Introduction to Power BI
03:00:39 - Chapter 2: Understanding Power BI Workflow
03:25:03 - Chapter 3: Connecting to Data Sources
03:34:19 - Chapter 4: Data Transformation with Power Query Editor
04:40:50 - Chapter 5: Building a Data Model
04:49:33 - Chapter 6: Introduction to DAX (Data Analysis Expressions)
05:42:50 - Chapter 7: Visualizations in Power BI
06:20:24 - Chapter 8: Power BI Service – Publishing and Sharing Reports
06:49:13 - Chapter 0: Power BI Tips, Tricks, and Common Mistakes
07:08:57 - Chapter 10: Final Quiz and Certification Resource Guide
07:20:36 - SQL Tutorial for Beginners
07:24:38 - Chapter 01: Introduction to SQL and Database Basics
07:44:24 - Chapter 02: Basic SQL Queries
08:28:09 - Chapter 03: Understanding Data Types and Operators
08:40:14 - Chapter 04: Inserting, Updating, and Deleting Data
09:08:41 - Chapter 05: Mastering SQL JOINS
09:29:06 - Chapter 06: Grouping and Aggregating Data
09:45:10 - Chapter 07: Subqueries and Nested Queries
09:57:22 - Chapter 08: Data Modeling and Relationships
10:10:41 - Chapter 09: Indexing and Performance Tuning
10:19:46 - Chapter 10: Views, Functions, and Stored Procedures
10:34:07 - Chapter 11: Transactions and Error Handling
11:01:51 - Chapter 12: Real-World SQL Projects
11:51:12 - Chapter 13: SQL for Data Analysis
12:06:56 - Chapter 14: SQL Interview Questions
12:31:16 - Chapter 15: Certification Prep
12:49:48 - Python For Data Analytics
21:08:01 - Data Analyst Interview Questions And Answers

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Data Analytics training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUUKnB4

#dataanalystfullcourse #dataanalysistutorialforbeginners #dataanalyticsroadmap #skillstobecomeadataanalyst #dataanalystproject #dataanalystportfolio #excelforbeginners #exceldataanalysis #powerbitutorial #powerbifordataanalyst #sqlfordataanalyst #tableaufordataanalyst #simplilearn #2026

wisdom
28 Views · 2 months ago

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 𝐂𝐨𝐮𝐫𝐬𝐞 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞 "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") : https://www.edureka.co/masters....-program/data-analys
In this Edureka Data Analyst Full Course video, you will learn what data analytics is, why data analytics is necessary, the types of data analytics, and the various data analytics applications. You will then understand a case study and perform analysis of data. Finally, we’ll see the top interview questions that will help you crack a data analyst interview.
00:00:00 Introduction
00:01:12 Agenda
00:03:31 What is Data Analytics
00:05:13 Why become a Data Analytic
00:06:52 Job Description of Data Analyst
00:34:48 What is Numpy?
00:46:39 Numpy Operations
01:02:43 Numpy Special Function
01:05:15 Pandas
02:07:50 Why Data Visualization
02:10:22 What is Data Visualization?
02:31:00 Plots
02:38:16 Working with Multiple Plots
02:40:48 Seaborn vs Matplotlib
02:58:34 What is Data?
02:59:24 Types of Data
03:07:01 Variables
03:12:56 Sample
03:18:51 Statistics in data analytics
03:29:00 Information Gain and entropy
03:39:09 What is Probability ?
03:45:04 Data and distribution
03:48:27 Python Use Case:Poker Probability
04:04:31 Introduction of Hypothesis testing
04:23:58 Types of errors
04:35:48 Industry Demonstration
04:56:06 SQL Basis
05:51:04 Why Time series Analysis?
05:52:46 What is Time series
06:02:54 What is stationary ?
06:13:03 Problem Statement
07:35:55 Charts in Excel
08:08:54 Data Analysis using Excel
08:14:49 Covid-19 Data Analysis Project using Python
08:41:52 Benefits of Data Visualization
08:44:25 Data Visualization in Python
09:17:24 World's best playing XI : Analyze FIFA Data
09:39:23 Introduction to Recession
10:03:54 Analytics market in a nutshell
10:09:50 Skills required
10:12:22 Job description
10:24:12 Top 10 Data Analytics tools
10:36:02 Top 10 skills required
10:45:21 Who is Business Analyst?
10:56:20 Role of Data Scientist and data analyst
11:16:38 Interview questions and answers


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wisdom
11 Views · 2 months ago

🔥Data Analyst Masters Program - https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=eC9Z1QyJzSY&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IIT Kanpur - Course in Data Analytics and Generative AI - https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=eC9Z1QyJzSY&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥IITG - Data Analytics and Generative AI (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=eC9Z1QyJzSY&utm_medium=DescriptionFirstFold&utm_source=Youtube

This video on Data Analytics Full Course 2026 by Simplilearn will help you learn data analytics from beginner to advanced level and understand how to transform raw data into meaningful business insights. The course begins with an introduction to data analytics and explains the role of data analysts in modern organizations. You will learn key concepts such as data collection, data cleaning, data transformation, and exploratory data analysis. The tutorial also covers important tools including Excel, SQL, Python, Tableau, and Power BI for analysis and visualization. You will understand how to identify trends, create dashboards, and generate actionable insights for decision making. The course also includes real-world examples and analytics workflows used across industries. By the end of this data analytics tutorial for beginners, you will clearly understand data analytics concepts, tools, and skills needed to start a career in data analytics.

00:00:00 - Introduction to Data Analytics Full Course 2026
00:03:29 - What Is Data Analytics?
00:09:49 - Data Analyst Roadmap 2026
00:20:43 - Top 5 Tools For Data Analysts In 2026
00:32:22 - Top 5 Data Analytics Courses In 2026
00:44:31 - Business Analyst vs Data Analyst
00:53:16 - Data Analytics For Beginners
01:03:05 - Data Analytics Using R
01:56:00 - Excel for Data Analytics 2026
03:05:05 - Tableau Tutorial For Beginners
06:56:44 - Downloading Tableau Desktop
07:12:13 - Benefits of data visualization
07:45:55 - Connecting the Superstore workbook
07:54:33 - Data source page and metadata
08:05:03 - Tableau Prep and data cleaning
08:58:26 - Worksheet view and field concepts
09:13:17 - Building the first chart
09:39:30 - Publishing to Tableau Public
10:02:18 - Introduction to Power BI
10:18:14 - Understanding Power BI Workflow
11:58:25 - Building a Data Model
12:07:08 - Introduction to DAX (Data Analysis Expressions)
13:00:25 - Visualizations in Power BI
14:06:48 - Power BI Tips, Tricks, and Common Mistakes
15:01:59 - Basic SQL Queries
15:57:49 - Inserting, Updating, and Deleting Data
16:26:16 - Mastering SQL JOINS
17:02:45 - Subqueries and Nested Queries
17:37:21 - Views, Functions, and Stored Procedures
18:19:26 - Real-World SQL Projects
19:48:51 - Certification Prep
20:07:23 - Advanced SQL Course 2026
21:39:10 - Importing data and basic queries
22:31:01 - Logical operators and ranges
23:29:00 - GROUP BY and HAVING
24:23:27 - LIKE operator and wildcards
25:15:59 - Join practice in classic models
26:32:20 - Creating custom tables
27:01:49 - DDL commands overview
28:12:22 - Removing duplicate rows
29:09:46 - Constraints and validation rules
29:53:03 - Gen AI Powered SQL For Data Analytics
30:03:17 - ACID properties explained
31:21:16 - Relationship types and cardinality
32:15:21 - Database commands and basic setup
33:43:05 - SELECT queries and filtering
34:23:03 - Query logic and aggregation
35:11:49 - String functions in SQL
35:28:32 - Date functions and import workflow
36:08:43 - Using ChatGPT for SQL practice
36:11:15 - How To Use AI In Data Analytics
37:12:13 - Jupyter setup, first scripts, IDEs, notebooks
37:33:33 - Core basics: variables, objects, numerics
38:14:29 - Collections and operations, hierarchy, math
39:27:41 - Conditionals and loops with exercises
40:23:05 - If-statement exercise and file handling
41:31:09 - Functions, exceptions, iterators, modules
42:27:43 - Comprehensions and regular expressions
43:03:40 - Exploratory data analysis demo
44:41:31 - Flask REST API layered application
45:10:44 - Data Analytics Projects For Beginners
46:44:52 - Data Analyst Interview Questions And Answers

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Data Analytics training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUUKnB4

#dataanalystfullcourse #dataanalysistutorialforbeginners #dataanalyticsroadmap #skillstobecomeadataanalyst #dataanalystproject #dataanalystportfolio #excelforbeginners #exceldataanalysis #powerbitutorial #powerbifordataanalyst #sqlfordataanalyst #tableaufordataanalyst #simplilearn #2026

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🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

wisdom
30 Views · 2 months ago

💻 Check out all my Full Courses on Analyst Builder: https://www.analystbuilder.com/

25% Off Analyst Builder Code: BOOTCAMP

In this video you're going to learn an immense amount about Data Analytics! Estimated time to complete if you follow along is 6 weeks!

Be sure to download the files and code for the lessons below:

GitHub Repo for Bootcamp: https://github.com/AlexTheAnalyst?tab=repositories

Parks and Rec File: https://github.com/AlexTheAnal....yst/MySQL-YouTube-Se

Certification: https://github.com/AlexTheAnal....yst/Data-Analytics-B
____________________________________________

BECOME A MEMBER -

Want to support the channel? Consider becoming a member! I do Monthly Livestreams and you get some awesome Emoji's to use in chat and comments!

https://www.youtube.com/channe....l/UC7cs8q-gJRlGwj4A8
____________________________________________

Websites:
💻Website: AlexTheAnalyst.com
💾GitHub: https://github.com/AlexTheAnalyst
📱Instagram: @Alex_The_Analyst
____________________________________________

0:00 Introduction
15:00 Data Fundamentals
48:33 MySQL
5:01:47 Excel
7:49:33 Tableau
9:25:51 Power BI
11:37:51 Python
14:32:33 Pandas
18:52:39 Building a Portfolio Website
19:30:07 Building a Data Analyst Resume
19:47:45 Practicing for Data Analyst Interviews
20:50:53 Azure
22:11:04 AWS
23:55:03 Databricks
26:40:14 R
28:32:37 Using LinkedIn to Find a Job


*All opinions or statements in this video are my own and do not reflect the opinion of the company I work for or have ever worked for*

wisdom
4 Views · 2 months ago

Complete Data Analytics Portfolio Project | Learn How Data Analyst Work (Python + SQL)

Learn Data Analytics with Python from scratch by building a real, end-to-end project- from connecting a SQL database to Python, all the way to presenting business insights in a PowerPoint. This 3-hour hands-on tutorial covers the exact workflow used by Data Analysts, Business Intelligence Analysts, and Data Scientists in the industry, using 5 core Python libraries: sqlite3, pandas, numpy, matplotlib, and seaborn.

🔍 What You'll Learn:
✅ How to connect a SQL database to Python using sqlite3 and pandas
✅ How to import data using SQL queries directly in Python
✅ Data cleaning techniques — fixing data types, renaming columns, selecting relevant columns, quality checks (QC), and handling missing/null values
✅ Feature engineering — creating new calculated columns, data transformation, and filtering techniques
✅ Exploratory Data Analysis (EDA) — aggregation, group by, and pivot tables using pandas and numpy
✅ Data visualization using matplotlib and seaborn — building charts that actually tell a story
✅ How to summarize insights in a PowerPoint — key findings, next steps, and how to present this project on your resume


➖➖➖➖➖➖➖➖➖➖➖➖➖

❤️ Subscribe for more data analytics and jobs related videos.
Keep learning n keep growing 🚀

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✨ Timestamps:
0:00:00 Intro
0:04:52 Project Setup
0:06:54 Import SQL Data
0:13:57 Data Cleaning
0:42:50 Feature Engineering
0:58:21 Data Analysis
1:38:00 Data Visualization using Matplotlib
1:55:22 Data Visualization using Seaborn
2:19:19 Pivot Table in Pandas Python
2:26:13 SQL in Pandas Python
2:36:40 Writing Data insights

✨ Congrats on completing this project! 🎉

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📣Lets Connect📣

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✨ Complete Courses ✨

📢 Excel Tutorial in one Video:
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📢 SQL Tutorial in one Video:
https://www.youtube.com/watch?v=On9eSN3F8w0

📢 Power Bi Tutorial in one Video:
https://www.youtube.com/watch?v=6cV3OwFrOkk

📢 Python Tutorial playlist: https://www.youtube.com/watch?v=8JzOl9MLp4s&list=PLdOKnrf8EcP384Ilxra4UlK9BDJGwawg9

➖➖➖➖➖➖➖➖➖➖➖➖➖

✨ Hope you liked this video and learned something new :)
See you in next video, until then Bye-Bye! ✨

➖➖➖➖➖➖➖➖➖➖➖➖➖


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wisdom
33 Views · 2 months ago

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24:27:24 Python Intro
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Run Windows on a Mac (VM) - https://lukeb.co/parallels
Microsoft 365 - https://www.microsoft.com/en-us/microsoft-365

📊 Project #1
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7️⃣ Power Query
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8️⃣ Power Pivot
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📚 Recommended Books
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M is for (Data) Monkey (renamed: Master Your Data) - https://geni.us/power_query

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wisdom
5 Views · 2 months ago

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00:55:26 - Introduction to Pandas
01:11:47 - What is EDA?
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01:39:19 - What is NumPy?
01:42:32 - Creating Numpy Array
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wisdom
13 Views · 2 months ago

Data Analytics FULL Course for Beginners to Pro in 29 HOURS - 2025 Edition

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12:01:26 - 13:45:36: Pandas for Data Analysis
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wisdom
14 Views · 2 months ago

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wisdom
6 Views · 2 months ago

Power Query → Tables → Formulas → Pivots → Charts → Dashboard
All in one video. Learn everything, practice the concepts and improve your skills in just 4 hours. This is my holiday gift for you 🎁

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Power Query
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0 - 15 mins: How to use Excel
15 - 48 mins: Power Query and Data Management
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2h 40 - 4h: Excel portfolio project


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00:00 - How to use Excel
14:36 - Power Query and Data Management
49:27 - Excel formulas & functions
1:53:39 - Excel Pivot Tables, Slicers & Charts
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wisdom
6 Views · 5 months ago

Machine Learning is the process of teaching a computer how perform a task with out explicitly programming it. The process feeds algorithms with large amounts of data to gradually improve predictive performance.

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🔗 Resources

Machine Learning Tutorials https://fireship.io/tags/machine-learning/
What is ML https://www.ibm.com/cloud/learn/machine-learning
Neural Networks https://towardsdatascience.com..../a-beginners-guide-t
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Topics Covered

- Convolutional Neural Networks
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- How Data Science Works
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- Artificial Intelligence History
- Supervised Machine Learning

wisdom
4 Views · 5 months ago

** Python Certification Training: https://www.edureka.co/data-sc....ience-python-certifi **
This Edureka Live on Data Science Projects - 1 will help you understand how the processes in the data science life cycle can be used to derive insights from a given dataset.
Following topics will be discussed in this session:

Data Science Life Cycle
Projects To Take As A Beginner
COVID-19 Italy Data Analysis

Python Tutorial Playlist: https://goo.gl/WsBpKe
Blog Series: http://bit.ly/2sqmP4s

#PythonEdureka #Edureka #datascienceproject #pythonprojects #pythonprogramming #pythontutorial #PythonTraining

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-----------------------------------------------------------------------------------------------------------------------------------


How it Works?
1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training, you will be working on a real-time project for which we will provide you a Grade and a Verifiable Certificate!

---------------------------------
About the course

Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing.

Edureka's Python Certification Training not only focuses on the fundamentals of Python, Statistics and Machine Learning but also helps one gain expertise in applied Data Science at scale using Python. The training is a step by step guide to Python and Data Science with extensive hands-on. The course is packed with several activity problems and assignments and scenarios that help you gain practical experience in addressing predictive modeling problems that would either require Machine Learning using Python. Starting from basics of Statistics such as mean, median and mode to exploring features such as Data Analysis, Regression, Classification, Clustering, Naive Bayes, Cross-Validation, Label Encoding, Random Forests, Decision Trees and Support Vector Machines with a supporting example and exercise help you get into the weeds.

Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to train your machine based on real-life scenarios using Machine Learning Algorithms.

Edureka’s Python course will also cover both basic and advanced concepts of Python like writing Python scripts, sequence and file operations in Python. You will use libraries like pandas, numpy, matplotlib, scikit, and master concepts like Python machine learning, scripts, and sequence.

Why learn Python?

It's continued to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built-in debugger.

It runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for commercial products, because of its OSI-approved open source license.

It has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that it is the " Next Big Thing " and a must for Professionals in the Data Analytics domain.



Who Should Go For This Course?



Programmers, Developers, Technical Leads, Architects
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine Learning (ML) Techniques
Information Architects who want to gain expertise in Predictive Analytics
'Python' professionals who want to design automatic predictive models

For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775

wisdom
25 Views · 5 months ago

🔥Discover SKillUP free online certification programs – https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=18FebSKillupYT&utm_medium=DescriptionFF&utm_source=youtube
"️🔥 Michigan Engineering - Professional Certificate in AI and Machine Learning - https://www.simplilearn.com/professional-aiml-program?utm_campaign=RmajweUFKvM&utm_medium=DescriptionFFF&utm_source=Youtube
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️🔥Microsoft AI Engineer Program - https://www.simplilearn.com/ai-engineer-course?utm_campaign=RmajweUFKvM&utm_medium=DescriptionFFF&utm_source=Youtube
️🔥️🔥 Applied Generative AI Specialization - https://www.simplilearn.com/applied-ai-course?utm_campaign=RmajweUFKvM&utm_medium=DescriptionFFF&utm_source=Youtube"

This Decision Tree in the Machine Learning tutorial will help you understand all the basics of the Decision Tree and how the Decision Tree algorithm works. In the end, we will implement a Decision Tree algorithm in Python on loan payment prediction. This Decision Tree tutorial is ideal for both beginners as well as professionals who want to learn Machine Learning Algorithms.

Below topics are covered in this Decision Tree Algorithm Tutorial:
0. Intro (0:00)
1. What is Machine Learning? ( 02:25 )
2. Types of Machine Learning? ( 03:27 )
3. Problems in Machine Learning ( 04:43 )
4. What is a Decision Tree? ( 06:29 )
5. What are the problems a Decision Tree Solves? ( 07:11 )
6. Advantages of Decision Tree ( 07:54 )
7. How does Decision Tree Work? ( 10:55 )
8. Use Case - Loan Repayment Prediction ( 14:32 )

Dataset Link - https://drive.google.com/drive..../folders/1JybOOdRsMY

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Machine Learning tutorial videos: https://bit.ly/3fFR4f4

Machine Learning Articles: https://www.simplilearn.com/what-is-artificial-intelligence-and-why-ai-certification-article?utm_campaign=Decision-Tree-Algorithm-With-Example-RmajweUFKvM&utm_medium=Tutorials&utm_source=youtube

👉Learn more at: https://bit.ly/3fouyY0

#DecisionTreeMachineLearning #DecisionTree #DecisionTreeAlgorithm #DecisionTreeAlgorithmInMachineLearning #DecisionTreePython #DecisionTrees #DecisionTreeExample #MachineLearningAlgorithms #MachineLearningTutorial #Simplilearn

What is a Decision Tree Algorithm?
A Decision Tree is a supervised machine learning algorithm for solving classification problems. Generally, a decision tree is drawn upside down with its root at the top and it is known as the Top-Down Approach. Decision trees are used for handling non-linear data sets effectively. The decision tree tool is used in real life in many areas, such as engineering, civil planning, law, and business.

➡️ About Artificial Intelligence Engineer

This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions.
IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers.

✅ Key Features
- Add the IBM Advantage to your Learning
- 25 Industry-relevant Projects and Integrated labs
- Immersive Learning Experience
- Simplilearn's JobAssist helps you get noticed by top hiring companies

✅ Tools Covered
- ChatGPT
- Flask
- Matplotlib
- django
- Python
- Numpy
- Pandas
- SciPy
- Keras
- OpenCV
- And Many More…

👉Learn More at: https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=MachineLearning-RmajweUFKvM&utm_medium=Description&utm_source=youtube


🔥 Enroll for FREE Machine Learning Course & Get your Completion Certificate: https://www.simplilearn.com/learn-machine-learning-basics-skillup?utm_campaign=MachineLearning&utm_medium=Description&utm_source=youtube

wisdom
6 Views · 5 months ago

Learn more about Data Pipelines → https://ibm.biz/BdPEPM

Data is a lot like water; it often needs to be refined as it travels between a source and its final destination. That’s where data pipelines come in – they merge, filter, and summarize raw data, providing the end user with a clean product to analyze. Luv Aggarwal, a Data Solution Engineer at IBM, explains how several processes often embedded within data pipelines – like ETL, replication, virtualization, machine learning, and batch processing – help generate actionable business intelligence.

Get started with IBM Cloud free of charge → https://ibm.biz/BdPEPS

Subscribe to see more videos like this in the future → http://ibm.biz/subscribe-now

#Data #DataPipelines #DataAnalyses #DataIntegration #BusinessIntelligence #ETL

wisdom
5 Views · 5 months ago

🔥 Data Science Training (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") - https://www.edureka.co/data-sc....ience-r-programming-
This Machine Learning Algorithms Tutorial shall teach you what machine learning is, and the various ways in which you can use machine learning to solve a problem! Towards the end, you will learn how to prepare a data-set for model creation and validation and how you can create a model using any machine learning algorithm! In this Machine Learning Algorithms Tutorial video you will understand:

1) What is an Algorithm?
2) What is Machine Learning?
3) How is a problem solved using Machine Learning?
4) Types of Machine Learning
5) Machine Learning Algorithms
6) Demo


You can also check out this Machine Learning with Python video for more insights: https://youtu.be/nJKxWbQ1jaw

Check our complete Data Science playlist here: https://goo.gl/60NJJS

Subscribe to our channel to get video updates. Hit the subscribe button above.

#Edureka #MachineLearningAlgorithms #Datasciencetutorial #Datasciencecourse #datascience

How it Works?

1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. You will get Lifetime Access to the recordings in the LMS.
4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!

- - - - - - - - - - - - - -

About the Course

Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities.

- - - - - - - - - - - - - -

Why Learn Data Science?

Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework.

After the completion of the Data Science course, you should be able to:
1. Gain insight into the 'Roles' played by a Data Scientist
2. Analyse Big Data using R, Hadoop and Machine Learning
3. Understand the Data Analysis Life Cycle
4. Work with different data formats like XML, CSV and SAS, SPSS, etc.
5. Learn tools and techniques for data transformation
6. Understand Data Mining techniques and their implementation
7. Analyse data using machine learning algorithms in R
8. Work with Hadoop Mappers and Reducers to analyze data
9. Implement various Machine Learning Algorithms in Apache Mahout
10. Gain insight into data visualization and optimization techniques
11. Explore the parallel processing feature in R

- - - - - - - - - - - - - -

Who should go for this course?

The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course:

1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics
4. Business Analysts who want to understand Machine Learning (ML) Techniques
5. Information Architects who want to gain expertise in Predictive Analytics
6. 'R' professionals who want to captivate and analyze Big Data
7. Hadoop Professionals who want to learn R and ML techniques
8. Analysts wanting to understand Data Science methodologies

For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free).

Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka

Customer Reviews:

Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. "

wisdom
8 Views · 5 months ago

Confused between Cybersecurity and Data Science as a career path in 2026? In this video, we compare both fields—job roles, required skills, salaries, demand, and future growth. Whether you’re aiming for a secure IT career or exploring data-driven opportunities, this guide will help you decide which path is right for you.

wisdom
4 Views · 5 months ago

"️🔥 Michigan Engineering - Professional Certificate in AI and Machine Learning - https://www.simplilearn.com/professional-aiml-program?utm_campaign=6M5VXKLf4D4&utm_medium=DescriptionFFF&utm_source=Youtube
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️🔥Microsoft AI Engineer Program - https://www.simplilearn.com/ai-engineer-course?utm_campaign=6M5VXKLf4D4&utm_medium=DescriptionFFF&utm_source=Youtube
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This video on What is Deep Learningprovides a fun and simple introduction to its concepts. We learn about where Deep Learning is implemented and move on to how it is different from machine learning and artificial intelligence. We will also look at what neural networks are and how they are trained to recognize digits written by hand. We further look at some popular applications of Deep Learning. So, let’s dive into the world of Deep Learning with this video.

Watch more videos on Deep Learning: https://www.youtube.com/watch?v=FbxTVRfQFuI&list=PLEiEAq2VkUUIYQ-mMRAGilfOKyWKpHSip

#DeepLearning #WhatIsDeepLearning #DeepLearningTutorial #DeepLearningCourse #DeepLearningExplained #Simplilearn

Why Deep Learning?
It is one of the most popular software platforms used for Deep Learning and contains powerful tools to help you build and implement artificial neural networks.
Advancements in Deep Learning are being seen in smartphone applications, creating efficiencies in the power grid, driving advancements in healthcare, improving agricultural yields, and helping us find solutions to climate change. According to payscale.com, the median salary for engineers with Deep Learning skills tops $120,000 per year.
➡️ About Artificial Intelligence Engineer

This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions.
IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers.

✅ Key Features
- Add the IBM Advantage to your Learning
- 25 Industry-relevant Projects and Integrated labs
- Immersive Learning Experience
- Simplilearn's JobAssist helps you get noticed by top hiring companies

✅ Tools Covered
- ChatGPT
- Flask
- Matplotlib
- django
- Python
- Numpy
- Pandas
- SciPy
- Keras
- OpenCV
- And Many More…

👉 Learn More At:

🔥🔥

wisdom
37 Views · 5 months ago

️🔥IBM - Data Analyst - https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=bAyrObl7TYE&utm_medium=DescriptionFFF&utm_source=Youtube
️🔥IITG - Professional Certificate Program in Data Analytics & Generative AI - https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=bAyrObl7TYE&utm_medium=DescriptionFFF&utm_source=Youtube
️️🔥 IIT Delhi - Data Analytics, Generative AI And Adaptive System - https://www.simplilearn.com/ihfc-iitd-data-analytics-genai-course?utm_campaign=bAyrObl7TYE&utm_medium=DescriptionFFF&utm_source=Youtube
️🔥PL-300 Microsoft Power BI Certification Training with Exam - https://www.simplilearn.com/power-bi-certification-training-course?utm_campaign=bAyrObl7TYE&utm_medium=DescriptionFFF&utm_source=Youtube
️🔥Tableau Desktop Specialist Certification Training - https://www.simplilearn.com/tableau-training-and-data-visualization-course?utm_campaign=bAyrObl7TYE&utm_medium=DescriptionFFF&utm_source=Youtube

This video, Big Data In 5 Minutesby Simplilearn, will help you understand what is Big Data, the 5 V's of Big Data, why Hadoop came into existence, and what Hadoop is. You will also learn about the storage unit and processing unit of Hadoop and the implementation of Big Data through use cases. In the end, we will have a quiz on Hadoop. A massive amount of data that cannot be stored, processed, and analyzed using the traditional ways is known as Big Data. Hadoop is a framework that manages Big Data storage in a distributed way and processes it parallelly. Now, let's dive deep into this video and understand Big Data and Hadoop.

Below are the topics covered in this video.
00:00 Big Data In 5 Minutes
00:34 Data generated per minute
00:56 Classification of Big Data
02:00 How to store and process Big Data
03:11 Application of Big Data

What Is Big Data?
Big data refers to the vast volume, variety, and velocity of data that exceeds traditional processing methods. It encompasses structured, unstructured, and semi-structured data from various sources, offering valuable insights for informed decision-making. Big data requires advanced analytics and scalable infrastructure to extract patterns, optimize operations, and gain comprehensive understanding for transformative impact.

Don't forget to take the quiz at 04:03!

Watch more videos on HadoopTraining: https://www.youtube.com/watch?v=CKLzDWMsQGM&list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ

#WhatIsBigData #WhatIsHadoop #BigDataExplained #HadoopExplained #HadoopTraining #BigDataTraining #BigDataTutorial #HadoopTutorial #Simplilearn Big Data #SimplilearnHadoop #simplilearn
➡️ About Data Analyst Master’s Program
This online data analyst course will transform you into a data analytics expert. In this certification course, you will learn the latest analytics tools and techniques, how to work with SQL, the languages of R and Python, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment.

✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Industry-recognized Data Analyst Master’s certificate from Simplilearn
- Dedicated live sessions by faculty of industry experts
- Masterclasses from IBM experts
- Industry-recognized IBM certifications for IBM courses
- Ask-Me-Anything (AMA) sessions with IBM leadership
- Capstone from 3 domains and 20+ projects
- Exclusive hackathons conducted by IBM
- Lifetime access to self-paced learning content
- Program crafted to initiate your journey as a Data Analyst

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis using Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using KMeans
- Supervised Learning
- Unsupervised Learning

👉 Learn More at:

🔥🔥

wisdom
35 Views · 5 months ago

️🔥IBM - Data Scientist - https://www.simplilearn.com/data-science-course?utm_campaign=mkv5mxYu0Wk&utm_medium=DescriptionFFF&utm_source=Youtube
️🔥IBM - Data Analyst - https://www.simplilearn.com/data-analyst-certification-course?utm_campaign=mkv5mxYu0Wk&utm_medium=DescriptionFFF&utm_source=Youtube
️🔥PL-300 Microsoft Power BI Certification Training with Exam - https://www.simplilearn.com/power-bi-certification-training-course?utm_campaign=mkv5mxYu0Wk&utm_medium=DescriptionFFF&utm_source=Youtube
️🔥Tableau Desktop Specialist Certification Training - https://www.simplilearn.com/tableau-training-and-data-visualization-course?utm_campaign=mkv5mxYu0Wk&utm_medium=DescriptionFFF&utm_source=Youtube

This Data Science with Python Tutorial will help you understand what is Data Science, basics of Python for data analysis, why learn Python, how to install Python, Python libraries for data analysis, exploratory analysis using Pandas, introduction to series and dataframe, loan prediction problem, data wrangling using Pandas, building a predictive model using Scikit-Learn and implementing logistic regression model using Python. The aim of this video is to provide a comprehensive knowledge to beginners who are new to Python for data analysis. This video provides a comprehensive overview of basic concepts that you need to learn to use Python for data analysis. Now, let us understand how Python is used in Data Science for data analysis.


This Data Science with Python tutorial will cover the following topics:
00:01:25 What is Data Science?
00:02:30 Why learn Python?
00:04:54 How to install Python?
00:06:48 Python libraries for data analysis
00:09:34 Exploratory analysis using SciPy
00:10:04 Exploratory analysis using NumPy
00:10:36 Exploratory analysis using Pandas
00:21:32 Data Wrangling Using Pands
00:30:22 Data Modelling with SciKiLearn
Introduction to series and dataframe
00:47:33 Loan prediction problem

To learn more about Data Science, subscribe to our YouTube channel: https://www.youtube.com/user/S....implilearn?sub_confi

Download the Data Science career guide to explore and step into the exciting world of data, and follow the path towards your dream career: https://bit.ly/2S363Wx

You can also go through the slides here: https://goo.gl/ifQRpS

Read the full article here: https://www.simplilearn.com/career-in-data-science-ultimate-guide-article?utm_campaign=What-is-Data-Science-bTTxei-S1WI&utm_medium=Tutorials&utm_source=youtube

Watch more videos on Data Science: https://www.youtube.com/watch?v=0gf5iLTbiQM&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6

#DataScienceWithPython #DataScienceWithR #DataScienceCourse #DataScience #DataScientist #BusinessAnalytics #MachineLearning

➡️ About Data Science Course in collaboration with IBM

This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

Key Features
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Masterclasses from IBM experts
✅ Dedicated live sessions by faculty of industry experts
✅ Industry-recognized Data Scientist Master’s certificate from Simplilearn
✅ Industry-recognized IBM certifications for IBM courses
✅ Ask-Me-Anything (AMA) sessions with IBM leadership
✅ Capstone from 3 domains and 25+ projects
✅ Exclusive hackathons conducted by IBM
✅ Lifetime access to self-paced learning content
✅ Program crafted to initiate your journey as a Data Scientist
✅ Integrated labs for hands-on learning experience

Skills Covered
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Explainable AI
✅ Conversational AI
✅ Large Language Models
✅ Model Building and Finetuning
✅ Ensemble Learning
✅ Data Visualization
✅ Database Management

👉 Learn More At: https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=Data-Science-With-Python-mkv5mxYu0Wk&utm_medium=Tutorials&utm_source=youtube

🔥🔥

wisdom
5 Views · 5 months ago

"️🔥IBM - Data Analyst - https://www.simplilearn.com/data-analyst-certification-course?utm_campaign=zwasdVPPFFw&utm_medium=DescriptionFFF&utm_source=Youtube
️🔥IITG - Professional Certificate Program in Data Analytics & Generative AI - https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=zwasdVPPFFw&utm_medium=DescriptionFFF&utm_source=Youtube
️️🔥 IIT Delhi - Data Analytics, Generative AI And Adaptive System - https://www.simplilearn.com/ihfc-iitd-data-analytics-genai-course?utm_campaign=zwasdVPPFFw&utm_medium=DescriptionFFF&utm_source=Youtube
️🔥PL-300 Microsoft Power BI Certification Training with Exam - https://www.simplilearn.com/power-bi-certification-training-course?utm_campaign=zwasdVPPFFw&utm_medium=DescriptionFFF&utm_source=Youtube
️🔥Tableau Desktop Specialist Certification Training - https://www.simplilearn.com/tableau-training-and-data-visualization-course?utm_campaign=zwasdVPPFFw&utm_medium=DescriptionFFF&utm_source=Youtube"

This video on Data Analytics for Beginners covers all the basics to advance concepts of data analytics. In this video you will come across the introduction To Data Analytics and you will understand the usage and the need for data analytics. Then, you learn about the different processes in data analytics with some essential tools used to implement data analytics. Also, you will see a case study on how Walmart uses data analytics for running its business.

01:07 What is Data Analytics?
04:29 Steps involved in Data Analytics
08:05 Tools used for Data Analytics
11:58 Data Analytics Applications
14:45 Companies using Data Analytics
15:22 Walmart Case Study
18:09 Use Case Demo

⏩ Check out the Data Analytics Playlist: link: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

#DataAnalyticsForBeginners #IntroductionToDataAnalytics #DataAnalytics #DataAnalyticsWithR #DataAnalyticsUsingR #Simplilearn

➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
-
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

🔥Data Analyst Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-analyst-certification-course?utm_campaign=zwasdVPPFFw&utm_medium=Description&utm_source=Youtube

wisdom
3 Views · 5 months ago

🔥 Data Scientist Masters Program (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/masters....-program/data-scient
This Edureka video on "What is Data Science" will introduce you to the concepts of Data Science and how it is used to solve real-world problems. You will learn Data Science with an example on UBER dataset. Data science is the process of using the data to find solutions / to predict outcomes of a problem statement. Below are the topics covered in this Data Science Tutorial:

0:57 What is Data Science?
1:11 How Data Science works? : Data Science at UBER
2:06 Data Science Process
a. Business Requirements
b. Data Collection
c. Data Cleaning
d. Data Exploration and Analysis
e. Data Modelling
f. Data Validation
g. Deployment and Optimization
4:17 Data Science Applications
6:05 Who is a Data Scientist?
6:18 Data Scientist Job Trends
6:51 Data Scientist Skills

Subscribe to our channel to get video updates. Hit the subscribe button above.

Check our complete Data Science playlist here: https://goo.gl/60NJJS

Machine Learning Podcast: https://castbox.fm/channel/id1832236
Instagram: https://www.instagram.com/edureka_learning/
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#edureka #DataScienceEdureka #whatisdatascience #Datasciencein8minutes #Datasciencecourse #datascience

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About the Master's Program

This program follows a set structure with 6 core courses and 8 electives spread across 26 weeks. It makes you an expert in key technologies related to Data Science. At the end of each core course, you will be working on a real-time project to gain hands on expertise. By the end of the program you will be ready for seasoned Data Science job roles.

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Topics Covered in the curriculum:

Topics covered but not limited to will be : Machine Learning, K-Means Clustering, Decision Trees, Data Mining, Python Libraries, Statistics, Scala, Spark Streaming, RDDs, MLlib, Spark SQL, Random Forest, Naïve Bayes, Time Series, Text Mining, Web Scraping, PySpark, Python Scripting, Neural Networks, Keras, TFlearn, SoftMax, Autoencoder, Restricted Boltzmann Machine, LOD Expressions, Tableau Desktop, Tableau Public, Data Visualization, Integration with R, Probability, Bayesian Inference, Regression Modelling etc.

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For more information, please write back to us at sales@edureka.co or call us at: IND: 9606058406 / US: 18338555775 (toll free)

wisdom
3 Views · 5 months ago

"️🔥 Michigan Engineering - Professional Certificate in AI and Machine Learning - https://www.simplilearn.com/professional-aiml-program?utm_campaign=G7fPB4OHkys&utm_medium=DescriptionFFF&utm_source=Youtube
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This Machine Learning tutorial video is ideal for beginners to learn Machine Learning from scratch. By the end of this tutorial video, you will learn why Machine Learning is so important in our lives, what is Machine Learning, the various types of Machine Learning (Supervised, Unsupervised and Reinforcement learning), .

This Machine Learning tutorial will cover the following topics:
1. Life without Machine Learning ( 01:06 )
2. Life with Machine Learning ( 02:29 )
3. What is Machine Learning ( 04:35 )
4. Machine Learning Process ( 05:27 )
5. Types of Machine Learning ( 06:14 )
6. Supervised Vs Unsupervised ( 09:32 )
7. The right Machine Learning solutions ( 10:35 )
8. Machine Learning Algorithms ( 13:33 )
9. Use case - Predicting the price of a house using Linear Regression ( 23:24 )

What is Machine Learning: Machine Learning is an application of Artificial Intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.

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You can also go through the Slides here: https://goo.gl/aNmKbQ

Machine Learning Articles: https://www.simplilearn.com/what-is-artificial-intelligence-and-why-ai-certification-article?utm_campaign=Machine-Learning-Tutorial-G7fPB4OHkys&utm_medium=Tutorials&utm_source=youtube

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#MachineLearningAlgorithms #Datasciencecourse #DataScience #SimplilearnMachineLearning #MachineLearningCourse

- - - - - - - -

➡️ About Artificial Intelligence Engineer

This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions.
IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers.

✅ Key Features
- Add the IBM Advantage to your Learning
- 25 Industry-relevant Projects and Integrated labs
- Immersive Learning Experience
- Simplilearn's JobAssist helps you get noticed by top hiring companies

✅ Tools Covered
- ChatGPT
- Flask
- Matplotlib
- django
- Python
- Numpy
- Pandas
- SciPy
- Keras
- OpenCV
- And Many More…


👉 Learn More At:




- - - - - - -

wisdom
3 Views · 5 months ago

"️🔥IBM - Data Analyst - https://www.simplilearn.com/data-analyst-certification-course?utm_campaign=MiiANxRHSv4&utm_medium=DescriptionFFF&utm_source=Youtube
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00:00:00 Introduction to Data Visualization Tutorial For Beginners
00:00:09 What is Data Visualization?
00:01:18 Benefits of Data Visualization
00:01:43 Data Visualization Considerations
00:02:22 Data Visualization Factors
00:02:52 Python Data Visualization Tool
00:03:15 Python Libraries for Data Visualization
00:03:40 MatPlotLib for Data Visualization
00:04:55 Understanding the Plot in Data Visualization
00:05:25 Steps to Create Plot
00:08:37 Controlling the Plot
00:08:51 Set Axix, Lables, and Legends
00:09:11 Alpha and Annotation
00:10:05 Multiple Plot
00:10:49 Sub-Plot
00:11:27 Layout and Spacing
00:11:45 Demo subplot
00:23:59 Types of Plots

Subscribe to Simplilearn channel for more Big Data and Hadoop Tutorials - https://www.youtube.com/user/S....implilearn?sub_confi

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➡️ About Data Analyst Master’s Program
This online data analyst course will transform you into a data analytics expert. In this certification course, you will learn the latest analytics tools and techniques, how to work with SQL, the languages of R and Python, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment.

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✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis using Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using KMeans
- Supervised Learning
- Unsupervised Learning



👉 Learn More at:

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wisdom
5 Views · 5 months ago

🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-science-course?utm_campaign=SioiFuMRiv4&utm_medium=DescriptionFirstFold&utm_source=Youtube
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In this Lines Algebra for Data Science video we will discuss how you can unlock the power of data science and machine learning with a solid foundation in linear algebra! In this comprehensive video, we delve into the essential concepts and applications of linear algebra that are critical for data scientists and machine learning practitioners. You’ll learn about vectors, matrices, eigenvalues, and eigenvectors, and how these mathematical structures are used in algorithms for data processing, dimensionality reduction, and model optimization. Whether you're a beginner or looking to deepen your understanding, this video offers clear explanations, practical examples, and real-world applications to help you master the mathematical tools necessary for advanced data analysis and predictive modeling. Join us and enhance your skill set to tackle complex data challenges with confidence!

00:00 Introduction
02:34 Concepts of Linear Algebra
10:26 Linear System of Equations
16:38 Matrix and it's operations
29:49 Vectors and its properties

✅Is linear algebra used in data science?
Matrix operations form the cornerstone of linear algebra, providing essential tools for manipulating and analyzing data in machine learning. In this section, we explore key matrix operations, including multiplication, transpose, inverse, and determinant, along with their significance and applications.

✅What linear algebra is needed for machine learning?
Linear algebra is the math behind machine learning. It lets you represent data, perform key operations on it, and understand complex algorithms like neural networks. Basically, it's the language machines use to learn from data.

✅What maths is required for data science and machine learning?
The core math for data science and machine learning involves three main areas:

Linear Algebra: This underpins data manipulation, algorithm implementation, and understanding complex models.
Statistics: It's essential for analyzing data, drawing inferences, and building effective models.
Calculus: It helps optimize machine learning algorithms and understand their behavior.

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➡️ About Artificial Intelligence Engineer

This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions.

IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers.

✅ Key Features

- Add the IBM Advantage to your Learning
- 25 Industry-relevant Projects and Integrated labs
- Immersive Learning Experience
- Simplilearn's JobAssist helps you get noticed by top hiring companies

✅ Skills Covered

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- Flask
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- django
- Python
- Numpy
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wisdom
13 Views · 5 months ago

We will understand what is data science by looking at simple restaurant business example. Data science is a process of getting insights from data. You don't have to be deep learning expert in order to do data science, you can do that in plain old microsoft excel also (if dataset is small enough). In recent years volume of data has grown too much so that data has become BIG DATA. Microsoft excel can't work with big data hence you need tools such as,

#DataScience #WhatIsDataScience #DataScienceForBeginners #DataScientist #DataScienceTutorial #DataScienceWithPython #DataScienceCourse

1) Apache hadoop and apache spark: For database storage and distributed computing
2) Python and R: For data science programming
3) Tableau, Power BI, Matplotlib, MATLAB, Jupyter Notebook: For data visualization
4) Sklearn, Deep Learning, Tensorflow, PyTorch: For deep learning and machine learning

Data scientist has become the most popular job in the market today and there is a huge career scope if you know how to do data science. Some of the use cases of data science in real life are,

1) Healthcare: Diagnostic prediction and accuracy
2) Finance: Fraud detection, predictive analysis on loans, stock market movement, company future
3) Shipping: Figure out best route for shipping
4) E-commerce: Product recommendation, inventory pricing

Very Simple Explanation Of Neural Network: https://www.youtube.com/watch?v=ER2It2mIagI

Form to fill out your definition of data science (Fill free yo use innovative, poetic, funny language) https://forms.gle/ukkQKddkiwna1H1L7

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wisdom
4 Views · 5 months ago

️🔥IBM - Data Scientist - https://www.simplilearn.com/data-science-course?utm_campaign=KxryzSO1Fjs&utm_medium=DescriptionFFF&utm_source=Youtube
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This Data Science tutorial will help you in understanding what is Data Science, why we need Data Science, the prerequisites for learning Data Science, what a Data Scientist does, the Data Science lifecycle with an example, and career opportunities in the Data Science domain. You will also learn the differences between Data Science and Business intelligence. The role of a data scientist is one of the sexiest jobs of the century. Every day, companies are looking out for more and more skilled data scientists and studies show that there is expected to be a continued shortfall in qualified candidates to fill the roles. So, let us dive deep into Data Science and understand what is Data Science all about.


This Data Science tutorial for beginners will cover the following topics:
Start (0:00)
1. Need for Data Science? ( 00:50 )
2. What is Data Science? ( 05:55 )
3. Data Science vs Business intelligence ( 11:44 )
4. Prerequisites for learning Data Science ( 16:36 )
5. What does a Data scientist do? ( 24:31 )
6. Data Science life cycle with use case ( 30:17 )
7. Demand for Data scientists ( 47:17 )

To learn more about Data Science, subscribe to our YouTube channel: https://www.youtube.com/user/S....implilearn?sub_confi

📚Data Science Article: https://bit.ly/30cYbpI

Download the Data Science career guide to explore and step into the exciting world of data, and follow the path towards your dream career: https://www.simplilearn.com/data-science-career-guide-pdf?utm_campaign=What-is-Data-Science-KxryzSO1Fjs&utm_medium=description&utm_source=youtube

You can also go through the Slide here: https://goo.gl/3d2pNv

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Watch more videos on Data Science: https://www.youtube.com/watch?v=0gf5iLTbiQM&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6

#DataScienceForBeginners #WhatIsDataScience #IntroductionToDataScience #DataScienceTutorial #DataScientist #DataScienceWithPython #DataScienceWithR #DataScienceCourse #DataScience #DataScientist #BusinessAnalytics #MachineLearning

➡️ About Data Science Course in collaboration with IBM

This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

Key Features
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Masterclasses from IBM experts
✅ Dedicated live sessions by faculty of industry experts
✅ Industry-recognized Data Scientist Master’s certificate from Simplilearn
✅ Industry-recognized IBM certifications for IBM courses
✅ Ask-Me-Anything (AMA) sessions with IBM leadership
✅ Capstone from 3 domains and 25+ projects
✅ Exclusive hackathons conducted by IBM
✅ Lifetime access to self-paced learning content
✅ Program crafted to initiate your journey as a Data Scientist
✅ Integrated labs for hands-on learning experience

Skills Covered
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Explainable AI
✅ Conversational AI
✅ Large Language Models
✅ Model Building and Finetuning
✅ Ensemble Learning
✅ Data Visualization
✅ Database Management

👉 Learn More At: https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=What-is-Data-Science-KxryzSO1Fjs&utm_medium=Description&utm_source=youtube

🔥🔥

wisdom
3 Views · 5 months ago

🔥Data Scientist Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/bi....g-data-and-analytics
🔥Data Scientist Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/bi....g-data-and-analytics

Want to become a Data Scientist? 📊 In this short, we’ll break down the essential skills you need! From mastering data analysis and visualization to building machine learning models and using tools like Python, SQL, and R, these skills are crucial for transforming data into actionable insights. Whether you're a beginner or looking to refine your skills, this guide highlights the core competencies every Data Scientist should know. Don’t forget to follow for more data science tips and tutorials! 🔍

wisdom
3 Views · 5 months ago

Want to become a Data Scientist by 2026?

Here’s your roadmap to success! This short video will guide you through the essential skills, tools, and technologies you need to master, including:

Python: Learn the key programming language for Data Science and Machine Learning.

Machine Learning: Understand how to build and apply models to solve real-world problems.

AI: Explore Artificial Intelligence and its role in data science and automation.

Cloud Analytics: Dive into the growing field of cloud-based data analytics tools and technologies.

Fast Career Path: Discover the quickest and most effective route to a data-driven career.

Stay updated with #simplilearn for more quick guides on mastering Data Science and building your future in tech!

#Coding #DataScience #Python #MachineLearning #AI #CloudAnalytics #TechCareers #DataScientist #FutureInTech #Shorts

wisdom
4 Views · 5 months ago

️🔥IBM - Data Scientist - https://www.simplilearn.com/data-science-course?utm_campaign=Lv0xcdeXaGU&utm_medium=DescriptionFFF&utm_source=Youtube
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Statistics is a branch of applied mathematics, that is the study and manipulation of data, including ways to gather, review, analyze, and draw conclusions. This is why statistics still holds a very important place in today’s data science and business intelligence world. In this statistics tutorial, you will learn all about statistics, including, percentile in statistics, what is normal distribution, Central Limit Theorem, and probability density function. Start learning the statistics tutorial now.

#Simplilearn #SimplilearnCourses #OnlineTraining #DataScience #Simplilearn #datasciencewithpython #DataScienceTraining #UpskillingSuccessStories #simplilearn

➡️ About Data Science Course in collaboration with IBM

This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

Key Features
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Masterclasses from IBM experts
✅ Dedicated live sessions by faculty of industry experts
✅ Industry-recognized Data Scientist Master’s certificate from Simplilearn
✅ Industry-recognized IBM certifications for IBM courses
✅ Ask-Me-Anything (AMA) sessions with IBM leadership
✅ Capstone from 3 domains and 25+ projects
✅ Exclusive hackathons conducted by IBM
✅ Lifetime access to self-paced learning content
✅ Program crafted to initiate your journey as a Data Scientist
✅ Integrated labs for hands-on learning experience

Skills Covered
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Explainable AI
✅ Conversational AI
✅ Large Language Models
✅ Model Building and Finetuning
✅ Ensemble Learning
✅ Data Visualization
✅ Database Management

👉 Learn More At: https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=StatisticsForDataScience&utm_medium=Description&utm_source=youtube

🔥🔥

wisdom
4 Views · 5 months ago

Check out Simplilearn (Generative AI and Machine Learning program): https://bit.ly/Genai-ml-program

In this video, I will tell you the complete Data Scientist roadmap - a step-by-step guide, from beginner to advanced. You’ll learn everything you need to become a successful data scientist, even if you’re starting from zero.

I’ll explain how AI is changing the tech industry, which jobs are getting replaced, and why data science is still one of the most powerful and in-demand careers in 2026. I'll go through all the essential skills: Mathematics, Python Programming, Machine Learning, Deep Learning, MLOps, and Generative AI, along with the best free resources to learn them & also show you how to build your portfolio, create real-world projects, and use tools like ChatGPT, Gemini, and Claude to become a 10x data scientist.

If you’re a student, IT professional, or software engineer planning to switch into AI, ML, or data science, this video is your complete guide. Watch the complete video to learn more, and also share it with your friends.

Many people are searching for:
- How to become a Data Scientist after class 12th?
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🎯 Connect with me here:
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Ring Light: https://amzn.to/3givuP9

wisdom
19 Views · 5 months ago

Learn how I escaped the 9-5 through freelancing: https://learn.stfnvic.com/mastermind

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wisdom
2 Views · 5 months ago

What is Exploratory Data Analysis: https://ibm.biz/Exploratory_Data_Analysis

Create Data Fabric instead of data silos: https://ibm.biz/EDA_Data_Fabric

Exploratory data analysis (EDA) is used by data scientists to analyze and investigate data sets and summarize their main characteristics, often employing data visualization methods. IBM Master Inventor Martin Keen explains how it helps determine how best to manipulate data sources to get the answers you need, making it easier for data scientists to discover patterns, spot anomalies, test a hypothesis, or check assumptions.

Get started for free on IBM Cloud → https://ibm.biz/sign-up-now

Subscribe to see more videos like this in the future → http://ibm.biz/subscribe-now

#AI #Software #ITModernization #ExploratoryDataAnalysis #lightboard #IBM #DataFabric

wisdom
4 Views · 5 months ago

Learn Machine Learning in a way that is accessible to absolute beginners. You will learn the basics of Machine Learning and how to use TensorFlow to implement many different concepts.

✏️ Kylie Ying developed this course. Check out her channel: https://www.youtube.com/c/YCubed

⭐️ Code and Resources ⭐️
🔗 Supervised learning (classification/MAGIC): https://colab.research.google.....com/drive/16w3TDn_tA
🔗 Supervised learning (regression/bikes): https://colab.research.google.....com/drive/1m3oQ9b0oY
🔗 Unsupervised learning (seeds): https://colab.research.google.....com/drive/1zw_6ZnFPC
🔗 Dataets (add a note that for the bikes dataset, they may have to open the downloaded csv file and remove special characters)
🔗 MAGIC dataset: https://archive.ics.uci.edu/ml..../datasets/MAGIC+Gamm
🔗 Bikes dataset: https://archive.ics.uci.edu/ml..../datasets/Seoul+Bike
🔗 Seeds/wheat dataset: https://archive.ics.uci.edu/ml/datasets/seeds

🏗 Google provided a grant to make this course possible.

❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp

⭐️ Contents ⭐️
⌨️ (0:00:00) Intro
⌨️ (0:00:58) Data/Colab Intro
⌨️ (0:08:45) Intro to Machine Learning
⌨️ (0:12:26) Features
⌨️ (0:17:23) Classification/Regression
⌨️ (0:19:57) Training Model
⌨️ (0:30:57) Preparing Data
⌨️ (0:44:43) K-Nearest Neighbors
⌨️ (0:52:42) KNN Implementation
⌨️ (1:08:43) Naive Bayes
⌨️ (1:17:30) Naive Bayes Implementation
⌨️ (1:19:22) Logistic Regression
⌨️ (1:27:56) Log Regression Implementation
⌨️ (1:29:13) Support Vector Machine
⌨️ (1:37:54) SVM Implementation
⌨️ (1:39:44) Neural Networks
⌨️ (1:47:57) Tensorflow
⌨️ (1:49:50) Classification NN using Tensorflow
⌨️ (2:10:12) Linear Regression
⌨️ (2:34:54) Lin Regression Implementation
⌨️ (2:57:44) Lin Regression using a Neuron
⌨️ (3:00:15) Regression NN using Tensorflow
⌨️ (3:13:13) K-Means Clustering
⌨️ (3:23:46) Principal Component Analysis
⌨️ (3:33:54) K-Means and PCA Implementations

🎉 Thanks to our Champion and Sponsor supporters:
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wisdom
2 Views · 5 months ago

In this video we will learn the Complete Data Science RoadMap. Detailed explanation from basics to advanced in Data Science and Step by Step RoadMap.
- How to start with Data Science
- Resources & Skills Required
- Basics to Advanced Data Scientist

We are also sharing the 👇
🚀 Data Science Complete Syllabus : https://www.apnacollege.in/course/prime-ai

wisdom
16 Views · 5 months ago

Checkout Simplilearn's Data Analytics Course: https://bit.ly/codewithharry-simplilearn
Update: I have recently created a comprehensive course on AI-Powered Data Analytics covering Excel, Python, AI assisted advanced coding, AI assited web development, PowerBI, Tableau, SQL & much more. This course is modern, job-ready, and designed to the point.
Enroll here: https://www.codewithharry.com/....courses/the-ultimate



Download the Roadmap PDF: https://cwh-full-next-space.fr....a1.cdn.digitaloceans


►Checkout my English channel here: https://www.youtube.com/channe....l/UC7btqG2Ww0_2LwuQx
►Instagram: https://www.instagram.com/codewithharry

python, C, C++, Java, JavaScript and Other Cheatsheets [++]:
Playlist: https://www.youtube.com/playli....st?list=PLu0W_9lII9a

►Learn in One Video[++]:
Python Course with 5 Projects: https://www.youtube.com/watch?v=fqF9M92jzUo
Python[15 Hr]: https://www.youtube.com/watch?v=gfDE2a7MKjA&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python Advance[3.5 Hr]: https://www.youtube.com/watch?v=61a7UkDO50s&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[1 Hr]: https://www.youtube.com/watch?v=qHJjMvHLJdg&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[2 Hr]: https://www.youtube.com/watch?v=ihk_Xglr164&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[15 Min]:https://www.youtube.com/watch?v=fr1f84rg4Nw&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
JavaScript[1 Hr]: https://www.youtube.com/watch?v=onbBV0uFVpo&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
C[1.3 Hr]-https://www.youtube.com/watch?v=YXcgD8hRHYY&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[1 Hr]: https://www.youtube.com/watch?v=xW7ro3lwaCI&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[2.3 Hr]:https://www.youtube.com/watch?v=1SnPKhCdlsU&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[Project]- https://www.youtube.com/watch?v=-al2bECumKg&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
HTML[30 Min]:https://www.youtube.com/watch?v=E3ByCRqE7Lo&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
CSS[8.5 Hr]:https://www.youtube.com/watch?v=Edsxf_NBFrw&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
CSS[1.4 Hr]:https://www.youtube.com/watch?v=u5-K_ua9sOw&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Wordpress[3.2 Hr]:https://www.youtube.com/watch?v=GlLRYml8mCY&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Angular[2 Hr]:https://www.youtube.com/watch?v=0LhBvp8qpro&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Java[2.3 Hr]:https://www.youtube.com/watch?v=rV_3Lewxx6o&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Web Scraping[1 Hr]:https://www.youtube.com/watch?v=uufDGjTuq34&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
MongoDB[2 Hr]:https://www.youtube.com/watch?v=oSIv-E60NiU&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Numpy[1 Hr]:https://www.youtube.com/watch?v=Rbh1rieb3zc&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Android Dev[12 Hr]- https://www.youtube.com/watch?v=mXjZQX3UzOs
Linux[1 Hr]:https://www.youtube.com/watch?v=_tCY-c-sPZc&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
JQuery[1.1 Hr]:https://www.youtube.com/watch?v=YFlx1C8XwR0&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Git and GitHub[1.1 Hr]:https://www.youtube.com/watch?v=gwWKnnCMQ5c&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7

►Complete course [playlist]:
React: https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
OOP Python-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Java:https://www.youtube.com/playli....st?list=PLu0W_9lII9a
JavaScript- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
PHP-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
C-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
C++-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Git & GitHub-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Android Dev- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python GUI- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Web Development- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python Django:https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Projects Using HTML, CSS & Javascript- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Data Structure and Algo:https://www.youtube.com/playli....st?list=PLu0W_9lII9a

Follow Me On Social Media
►Website (created using Django Rest & Angular): https://www.codewithharry.com
►Facebook: https://www.facebook.com/CodeWithHarry
►Instagram: https://www.instagram.com/codewithharry/
Twitter: https://twitter.com/CodeWithHarry
Comment "#HarryBhai" if you read this 😉😉

wisdom
3 Views · 5 months ago

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This Machine Learning basics video will help you understand what Machine Learning is, what are the types of Machine Learning - supervised, unsupervised & reinforcement learning, how Machine Learning works with simple examples, and will also explain how Machine Learning is being used in various industries. Machine learning is a core sub-area of artificial intelligence; it enables computers to get into self-learning mode without being explicitly programmed. When exposed to new data, these computer programs are enabled to learn, grow, change, and develop by themselves. So, the iterative aspect of machine learning is the ability to adapt to new data independently. This is possible as programs learn from previous computations and use “pattern recognition” to produce reliable results.

The below topics are explained in this Machine Learning basics video:
1. What is Machine Learning? ( 00:21 )
2. Types of Machine Learning ( 02:43 )
2. What is Supervised Learning? ( 02:53 )
3. What is Unsupervised Learning? ( 03:46 )
4. What is Reinforcement Learning? ( 04:37 )
5. Machine Learning applications ( 06:25 )

Subscribe to our channel for more Machine Learning Tutorials: https://www.youtube.com/user/S....implilearn?sub_confi

Download the Machine Learning Career Guide to explore and step into the exciting world of Machine Learning and follow the path toward your dream career- https://bit.ly/3eLuTUo

Watch more videos on Machine Learning: https://www.youtube.com/watch?v=7JhjINPwfYQ&list=PLEiEAq2VkUULYYgj13YHUWmRePqiu8Ddy

#MachineLearning #WhatIsMachineLearning #MachineLearningTutorial #MachineLearningBasics #MachineLearningTutorialForBeginners #Simplilearn

➡️ About Artificial Intelligence Engineer

This Artificial Intelligence Engineer course Created in partnership with IBM, this course introduces students to blended learning and prepares them to be AI and Data Science specialists. In Armonk, New York, IBM is a significant cognitive service and integrated cloud solution firm that provides many technology and consulting solutions.
IBM is a leader in AI and Machine Learning technology verticals for 2021. This AI masters course will prepare students for Artificial Intelligence and Data Analytics careers.

✅ Key Features
- Add the IBM Advantage to your Learning
- 25 Industry-relevant Projects and Integrated labs
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wisdom
3 Views · 5 months ago

🔥PGP in Generative AI and ML in collaboration with Illinois Tech: https://www.edureka.co/executi....ve-programs/pgp-gene
🔥Generative AI Course: Master's Program: https://www.edureka.co/masters....-program/generative-

This Edureka video on *Artificial Intelligence Full Course* will provide you with a comprehensive and detailed knowledge of Artificial Intelligence concepts with hands-on examples. The following topics are covered in this Artificial Intelligence Full Course:

00:00 Introduction to Artificial Intelligence Course
02:27 History Of AI
06:45 Demand For AI
08:46 What Is Artificial Intelligence?
09:50 AI Applications
16:49 Types Of AI
20:24 Programming Languages For AI
27:12 Introduction To Machine Learning
28:08 Need For Machine Learning
31:48 What Is Machine Learning?
34:13 Machine Learning Definitions
37:26 Machine Learning Process
49:13 Types Of Machine Learning
49:21 Supervised Learning
52:00 Unsupervised Learning
53:44 Reinforcement Learning
55:29 Supervised vs Unsupervised vs Reinforcement Learning
58:23 Types Of Problems Solved Using Machine Learning
1:04:49 Supervised Learning Algorithms
1:05:17 Linear Regression
1:11:20 Linear Regression Demo
1:26:36 Logistic Regression
1:35:36 Decision Tree
1:55:18 Random Forest
2:07:31 Naive Bayes
2:14:37 K Nearest Neighbour (KNN)
2:20:31 Support Vector Machine (SVM)
2:26:40 Demo (Classification Algorithms)
2:42:36 Unsupervised Learning Algorithms
2:42:45 K-means Clustering
2:50:49 Demo (Unsupervised Learning)
2:56:40 Reinforcement Learning
3:24:36 Demo (Reinforcement Learning)
3:31:41 AI vs Machine Learning vs Deep Learning
3:33:08 Limitations Of Machine Learning
3:36:32 Introduction To Deep Learning
3:38:36 How Deep Learning Works?
3:40:48 What Is Deep Learning?
3:41:50 Deep Learning Use Case
3:43:14 Single Layer Perceptron
3:50:56 Multi Layer Perceptron (ANN)
3:52:55 Backpropagation
3:54:39 Training A Neural Network
4:01:02 Limitations Of Feed Forward Network
4:03:18 Recurrent Neural Networks
4:05:36 Convolutional Neural Networks
4:09:00 Demo (Deep Learning)
4:29:02 Natural Language Processing
4:30:53 What Is Text Mining?
4:32:43 What Is NLP?
4:33:26 Applications Of NLP
4:35:53 Terminologies In NLP
4:41:19 NLP Demo
4:47:21 Machine Learning Masters Program

📢📢 Check out the latest 2025 video on Top 10 Technologies for the most up-to-date insights!
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📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

-------------------------------------

About the Masters Program

Edureka’s Machine Learning Engineer Masters Program makes you proficient in techniques like Supervised Learning, Unsupervised Learning and Natural Language Processing. It includes training on the latest advancements and technical approaches in Artificial Intelligence & Machine Learning such as Deep Learning, Graphical Models and Reinforcement Learning.

The Master's Program Covers Topics LIke:
Python Programming
PySpark
HDFS
Spark SQL
Machine Learning Techniques and Artificial Intelligence Types
Tokenization
Named Entity Recognition
Lemmatization
Supervised Algorithms
Unsupervised Algorithms
Tensor Flow
Deep learning
Keras
Neural Networks
Bayesian and Markov’s Models
Inference
Decision Making
Bandit Algorithms
Bellman Equation
Policy Gradient Methods.

-------------
For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US & RoW: +1-8335643323 (toll-free)

wisdom
17 Views · 5 months ago

Kickstart your career in a Data Analyst. Apply today! - https://www.theiscale.com/Data....Analytics/data-analy

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wisdom
4 Views · 5 months ago

You can start Placement Preparation with me in Alpha Plus
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Program Details of Alpha PLUS
- Classes starting from 17th September
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wisdom
3 Views · 5 months ago

In this video, you will learn Machine Learning from Beginner to Advanced level step by step.

⬇️ Download the Full Machine Learning Notes here: https://www.theiscale.com/Data....Analytics/machine-le

This complete Machine Learning course is designed for:
✔ Beginners with no prior experience
✔ College students & freshers
✔ Data Science & AI aspirants
✔ Working professionals

📌 What you’ll learn in this course:
• Introduction to Machine Learning with AI
• Types of Machine Learning (Supervised, Unsupervised, Reinforcement)
• Linear & Logistic Regression
• Decision Trees & Random Forest
• KNN, Naive Bayes, SVM
• Clustering (K-Means, Hierarchical)
• Feature Engineering & Data Preprocessing
• Model Evaluation & Optimization
• Real-world Machine Learning Projects
• Career roadmap for ML & Data Science

Timestamp
00:00:00 -Course Introduction
00:03:24 -Technological Evolution: Web to Apps to ML
00:06:50 -Mapping the AI Branch: ML vs. Deep Learning vs. Data Science
00:13:33 -Dynamic Pricing Models and Negotiation Algorithms
00:15:45 -Chatbots and Virtual Assistants
00:16:01 -Sentiment Analysis, Customer Reviews
00:17:21 -The Machine Learning Model Workflow
00:17:44 -Data Pre-processing and Missing Values
00:18:20 -Model Training and Iterative Evaluation
00:19:19 -The Pillars of ML: Math, Coding, and Implementation
00:20:53 -Supervised, Unsupervised, and Reinforcement
00:21:37 - Reinforcement Learning: Agents, Environments, and Rewards
00:23:02 -Supervised Learning
00:25:37 -Regression Problems
00:27:27 -Classification Problems
00:28:10 - Loan Approval and Email Spam Categorization
00:28:47 - Dependent vs. Independent Features
00:32:00 - Binary vs. Multi-class Classification
00:34:18 - Unsupervised Learning
00:35:54 - Clustering and Pattern Recognition
00:39:57 - Dimensionality Reduction Explained
00:42:01 -Linear Regression Algorithm
00:43:00 - Introduction to Linear Regression
00:45:08 - The Concept of the Best Fit Line
00:48:10 - ML Notation
00:49:07 - Intercepts and Slopes Defined
00:51:59 - Defining the Cost Function
00:53:53 - Error Minimization Strategy
00:57:48 - Gradient Descent Logic and Global Minima
01:04:23 - Practical: Setting up Anaconda and Jupyter Notebook
01:06:55 - Practical: Housing Price Prediction Coding
01:08:14 - Importing NumPy, Pandas, and Matplotlib
01:14:09 - Dividing Data into X and Y Features
01:19:50 - Implementing Cross-Validation Scores
01:34:16 - Interpreting Final Accuracy Results
01:34:17 - Ridge & Lasso Algorithm
01:35:42 - Overfitting and Underfitting
01:37:04 - Bias vs.Variance Trade-off
01:39:56 -Ridge Regression
01:41:05 -Handling Multi-Collinearity
01:43:42 -Lasso Regression
01:46:30 -Feature Selection via Lasso
01:52:12 -Grid Search CV Implementation
01:58:12 -Standard Scaling of Features
01:59:10: Logistic Regression Algorithm
02:04:43 -Introduction to Logistic Regression
02:07:06 -Sigmoid Function Mathematics
02:07:54 -Linear Regression Line
02:08:13 -Decision Boundaries
02:09:57 -Logistic Regression Cost Function Issues
02:14:42 -The Confusion Matrix
02:16:40 -True Positives, False Positives, and Errors
02:18:32 -Precision, Recall, F1-Score
02:22:26 -Practical: Breast Cancer Prediction Implementation
02:41:21 -Visualizing the Confusion Matrix with Heatmaps
02:45:47-Naive Bayes Algorithm Fundamentals
02:46:18 -Dependent and Independent Events
02:50:50 -Bayes Theorem Formula Construction
02:54:01 -Gaussian Naive Bayes Implementation
03:08:47 -K-Nearest Neighbors (KNN) Theory
03:12:32 -Manhattan vs. Euclidean Distance
03:27:48 -Decision Tree Algorithm Structure
03:30:46 -Root Nodes, Leaf Nodes, and Pure Splits
03:35:16 -Entropy and Gini Impurity Calculations
03:44:01 -Information Gain and Feature Selection
03:55:05 -Practical: with Scikit-Learn
03:56:02 - Unsupervised Algorithms
04:13:45 -Ensemble Techniques: Bagging vs. Boosting
04:15:56 -Bootstrap Aggregating
04:18:38 -Random Forest Algorithm
04:33:45 -AdaBoost Algorithm
04:57:52 -K-Means Clustering Algorithm
05:00:30 -The Elbow Method for Optimal Clusters
05:11:14 -Hierarchical Clustering and Dendrograms
05:16:50 -DBScan: Density-Based Clustering
05:24:44 -Final Summary and Career Roadmap

⚙️ Tools & Libraries:
Python, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn
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wisdom
3 Views · 5 months ago

My Data Science Course: https://www.codewithharry.com/....courses/the-ultimate
Data Science Course (International Students): https://buy.stripe.com/8wMdSN4vibLjcU0bII
Data Science Course (International Option 2): https://codeharry.gumroad.com/l/ds
My Udemy Python Course(Coupon Applied): https://goharry.in/python
Try Quadratic: https://quadratic.ai/codewithharry

I use Quadratic AI across the entire data science life cycle, from accessing data, cleaning it, analyzing it with Python + Pandas, and visualizing it with Plotly and Chart.js.

Download the Roadmap PDF: https://cwh-full-next-space.fr....a1.cdn.digitaloceans
►Checkout my English channel here: https://www.youtube.com/channe....l/UC7btqG2Ww0_2LwuQx
►Instagram: https://www.instagram.com/codewithharry

python, C, C++, Java, JavaScript and Other Cheatsheets [++]:
Playlist: https://www.youtube.com/playli....st?list=PLu0W_9lII9a

►Learn in One Video[++]:
Python Course with 5 Projects: https://www.youtube.com/watch?v=fqF9M92jzUo
Python[15 Hr]: https://www.youtube.com/watch?v=gfDE2a7MKjA&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python Advance[3.5 Hr]: https://www.youtube.com/watch?v=61a7UkDO50s&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[1 Hr]: https://www.youtube.com/watch?v=qHJjMvHLJdg&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[2 Hr]: https://www.youtube.com/watch?v=ihk_Xglr164&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Python[15 Min]:https://www.youtube.com/watch?v=fr1f84rg4Nw&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
JavaScript[1 Hr]: https://www.youtube.com/watch?v=onbBV0uFVpo&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
C[1.3 Hr]-https://www.youtube.com/watch?v=YXcgD8hRHYY&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[1 Hr]: https://www.youtube.com/watch?v=xW7ro3lwaCI&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[2.3 Hr]:https://www.youtube.com/watch?v=1SnPKhCdlsU&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
php[Project]- https://www.youtube.com/watch?v=-al2bECumKg&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
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CSS[1.4 Hr]:https://www.youtube.com/watch?v=u5-K_ua9sOw&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Wordpress[3.2 Hr]:https://www.youtube.com/watch?v=GlLRYml8mCY&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Angular[2 Hr]:https://www.youtube.com/watch?v=0LhBvp8qpro&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Java[2.3 Hr]:https://www.youtube.com/watch?v=rV_3Lewxx6o&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Web Scraping[1 Hr]:https://www.youtube.com/watch?v=uufDGjTuq34&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
MongoDB[2 Hr]:https://www.youtube.com/watch?v=oSIv-E60NiU&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Numpy[1 Hr]:https://www.youtube.com/watch?v=Rbh1rieb3zc&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Android Dev[12 Hr]- https://www.youtube.com/watch?v=mXjZQX3UzOs
Linux[1 Hr]:https://www.youtube.com/watch?v=_tCY-c-sPZc&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
JQuery[1.1 Hr]:https://www.youtube.com/watch?v=YFlx1C8XwR0&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Git and GitHub[1.1 Hr]:https://www.youtube.com/watch?v=gwWKnnCMQ5c&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7

►Complete course [playlist]:
React: https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
OOP Python-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Java:https://www.youtube.com/playli....st?list=PLu0W_9lII9a
JavaScript- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
PHP-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
C-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
C++-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Git & GitHub-https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Android Dev- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python GUI- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Web Development- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Python Django:https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Projects Using HTML, CSS & Javascript- https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Data Structure and Algo:https://www.youtube.com/playli....st?list=PLu0W_9lII9a

Follow Me On Social Media
►Website (created using Django Rest & Angular): https://www.codewithharry.com
►Facebook: https://www.facebook.com/CodeWithHarry
►Instagram: https://www.instagram.com/codewithharry/
Twitter: https://twitter.com/CodeWithHarry
Comment "#HarryBhai" if you read this 😉😉

wisdom
4 Views · 5 months ago

Data Scientist Roadmap 2025 | How to Become a Data Scientist Step-by-Step

#HowToLearnDataScienceFastIn2025 #HowToLearnDataScience #HowToLearnDataScienceForFree
#HowToLearnDataScienceForBeginners #LearnDataScienceForFree #DataScienceRoadmap
#DataScienceRoadmap2025 #HowToBecomeADataScientist #Intellipaat #shorts

Want to know How to Learn Data Science Fast in 2025? Follow this video and discover the BEST Data Science Roadmap YOU MUST FOLLOW in 2025 to land a job. In this video, you will also discover the learning materials or courses from which you can learn the required skills. Whether you’re a beginner, a working professional, or someone looking to switch careers, this step-by-step guide will help you navigate your Data Science journey the right way.

💡 FAQs on Learning Data Science
❓ How to learn Data Science fast in 2025?
Follow a structured roadmap that includes Python, SQL, Machine Learning, Deep Learning, and real-world projects. Start with free courses, practice coding daily, and work on projects.

❓ How long does it take to become a Data Scientist?
If you learn consistently, it can take 6-12 months to become job-ready. The key is hands-on practice and real-world projects.

❓ Can I learn Data Science for free?
Yes! There are plenty of free resources. This video covers some of the best free Data Science courses available.

wisdom
3 Views · 5 months ago

Build your first AI project with Python! 🤖 This beginner-friendly machine learning tutorial uses real-world data.

❤️ Join this channel to get access to perks:
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💡 Need Python basics? Check out these resources:
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✋ Stay connected:
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💡 What you'll learn:
- Foundational machine learning concepts.
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- You're curious about AI and machine learning.
- You have basic Python knowledge.
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Let's get started!

📖 TABLE OF CONTENT
0:00:00 Introduction
0:00:59 What is Machine Learning?
0:02:58 Machine Learning in Action
0:05:45 Libraries and Tools
0:10:40 Importing a Data Set
0:17:01 Jupyter Shortcuts
0:22:53 A Real Machine Learning Problem
0:26:09 Preparing the Data
0:29:15 Learning and Predicting
0:33:20 Calculating the Accuracy
0:39:41 Persisting Models
0:42:55 Visualizing a Decision Tree

#Python #AI #MachineLearning

wisdom
5 Views · 5 months ago

Explore analytics tools and solutions → https://ibm.biz/BdSPGc

Are you interested in data science? And have you heard of data analytics, but aren't sure how they're different? In this video, Martin Keen explains that while data science and data analytics are often used interchangeably, they have distinct roles. In terms of job roles, he covers the tools and practices of data scientists and contrast them with those of data analysts.

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wisdom
2 Views · 5 months ago

🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/big-data-and-analytics/senior-data-scientist-masters-program-training?utm_campaign=OQnvWsYl9rc&utm_medium=DescriptionFirstFold&utm_source=Youtube
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The Statistics and Probability Full Course 2025 by Simplilearn, provides a comprehensive foundation for anyone entering the fields of data science, AI, or machine learning. It begins with the core principles of probability and statistics, ensuring learners grasp essential mathematical concepts needed for data-driven problem-solving. The course then bridges into mathematics for machine learning, followed by specialized sections on statistics for data science and probability for AI applications. Learners also explore the fundamentals and roadmap of data science, gaining clarity on how statistical methods power real-world analytics and predictive models. The program concludes with interview preparation, featuring top data science interview questions, helping learners confidently transition from theory to professional application.

Following are the topics covered in Probability and Statistics Full Course 2025:

00:00:00 - Introduction to Statistics and Probability Full Course 2025
00:02:07 - Probability and Statistics
00:48:26 - Mathematics for machine learning
02:38:50 - Statistics For Data Science
03:02:12 - Probability And Statistics For Data Science and AI
03:49:26 - What is Data Science
03:53:47 - Data science course unboxing
03:59:57 - Roadmap to Data Science
04:09:09 - Data Science Fundamentals
07:26:08 - Data Science Interview Questions and Answers

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⏩ Check out the Data Science tutorial videos: https://www.youtube.com/watch?v=X3paOmcrTjQ&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6

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✅ About Post Graduate Program In Data Science:
This in-depth Data Science program is designed for working professionals, and covers job-critical topics like R, Python programming, Machine Learning techniques, NLP notions, and Data Visualization with Tableau, using an active learning model that includes live sessions from global professionals, practical labs, IBM Hackathons, and corporate ready projects

Key Features


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✅ 3 capstones and 25+ hands-on projects from various industry domains
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✅ Reinforcement Learning
✅ Speech Recognition

Learning Path
✅ Program Induction
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✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning Specialization

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wisdom
3 Views · 5 months ago

🔥PGP in Generative AI and ML in collaboration with Illinois Tech: https://www.edureka.co/executi....ve-programs/pgp-gene
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Join us for the AI & ML Full Course 2026, a complete live tutorial hosted by edureka! designed to help you master Artificial Intelligence and Machine Learning from the ground up. This live session will guide you through key concepts such as supervised and unsupervised learning, deep learning, neural networks, natural language processing, and real-world model deployment. Whether you're a beginner looking to enter the world of AI or a professional aiming to enhance your skills, this course is structured to make complex topics easy to understand. Using hands-on projects and Python-based examples, you’ll gain the practical knowledge needed to build intelligent systems and data-driven applications. This session is ideal for students, job seekers, developers, and tech enthusiasts who want to stay ahead in the AI/ML landscape in 2025. Make sure to join live to engage with instructors in real time and earn your certificate of participation. Subscribe to our channel and turn on notifications so you don’t miss this powerful learning experience.
00:00:00 Introduction
00:01:47 What is Artificial Intelligence?
00:07:49 Types of Artificial Intelligence
00:18:56 AI vs Machine Learning vs Deep Learning
00:32:41 Artificial Intelligence with Python
02:11:47 What is Machine Learning?
02:23:29 Types of Machine Learning Models
02:30:35 Machine Learning Algorithm
02:52:29 Linear Regression Algorithm
02:59:55 Logistic Regression Algorithm
03:47:04 Linear Regression Vs Logistic Regression
03:50:35 Decision Tree Algorithm
04:36:09 Random Forest
05:01:24 KNN Algorithm
05:33:47 Naive Bayes Classifier
05:55:28 Support Vector Machine
06:20:59 K- Means Clustering Algorithm
06:44:19 Hierarchical Clustering
06:50:41 Apriori Algorithm Explained
07:08:11 What is Deep Learning?
07:30:14 Artificial Neural Network
08:02:35 Convolutional Neural Network
08:23:06 Recurrent Neural Networks
08:52:02 LSTM Explained
09:45:59 Transformers Neural Networks Explained
09:56:02 What are GANs?
10:08:22 Future of AI/ML
10:22:58 Artificial Intelligence Interview Questions & Answers

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wisdom
1 Views · 5 months ago

Starting your data science journey?

Just dipping your toe into Machine Learning?

Not too sure how to get started with the wild world of Python?

I got you.

There’s a ton of stuff to learn when you’re just getting started with data science, but having a good foundation in Python will set you up for success. That being said there’s a lot of fluff that can derail you when you’re learning.

So I put this together.

This is everything I wish I would have learned when starting off my journey in Data Science. It’s all of the Python that I use in my day to day job and it’s more than enough to get you started!

In this video, you’ll learn:
1. How to setup your environment for Python
2. Fundamentals of coding with Python with a focus on Data Science Applications
3. Applications of Python for Data Science along with some practical Python projects

Link to Code: https://github.com/nicknochnac....k/PythonForDataScien

Link to Projects:
Project 1 - End to End Machine Learning: https://www.youtube.com/playli....st?list=PLgNJO2hghbm
Project 2 - Data Science Basics: https://www.youtube.com/playli....st?list=PLgNJO2hghbm
Project 3 - Deep Learning Summarization: https://youtu.be/TsfLm5iiYb4
Project 4 - Sentiment Analysis: https://youtu.be/szczpgOEdXs

Other projects
AI for Gaming: https://youtu.be/hCeJeq8U0lo
Object Detection: https://youtu.be/yqkISICHH-U

Chapters
0:00 - Start
1:16 - Why you should learn Python
6:08 - How to get started
6:59 - Installing Anaconda
11:42 - Starting Jupyter Notebooks
13:42 - Creating a Jupyter Notebook
16:10 - Jupyter Shortcuts
17:54 - Exporting Jupyter to .py
21:04 - Cell Types
23:16 - Working with Markdown
25:23 - Accessing Documentation
26:42 - Google Colab
28:40 - Watson Studio
33:23 - SECTION 2 Variables & Data Types
34:38 - CRUD
41:13 - Variables
47:18 - Data Types
49:09 - Strings
52:52 - Integers
54:55 - Floats
56:27 - Booleans
1:00:44 - Lists
1:05:28 - Tuples
1:12:43 - Sets
1:21:05 - Dictionaries
1:28:17 - CRUD for Lists
1:30:14 - Creating a List
1:31:33 - Reading a List Using Indexing
1:32:55 - Updating List Values
1:33:58 - Using .append()
1:34:57 - Using .insert()
1:39:21 - CRUD for Dictionaries
1:39:58 - Create a Dictionary
1:41:41 - Read from a Dictionary
1:42:46 - Accessing Dictionary .keys()
1:43:27 - Accessing Dictionary .values()
1:43:57 - Updating Dictionaries
1:46:50 - Deleting from a Dictionary
1:48:54 - SECTION 3 Conditions & Loops
1:52:23 - Conditions and Logic
1:54:47 - if Statement
2:02:54 - else Statement
2:05:28 - elif Statement
2:09:46 - in Statement
2:17:29 - for Loop
2:25:27 - continue, break, pass
2:32:32 - while Loop
2:39:59 - Looping through Dictionaries
2:48:28 - List comprehensions
2:52:00 - SECTION 4 Functions
2:55:59 - Defining Functions
3:02:36 - Positional Arguments
3:10:47 - Multiple Positional Arguments
3:15:34 - Looping with an Index
3:21:35 - Keyword Arguments
3:25:35 - Combining Positional and Keyword Args
3:32:11 - return Keyword
3:34:52 - lambda Functions
3:39:00 - SECTION 5 Classes
3:42:41 - Classes
3:44:52 - class Statement
3:45:45 - __init__ Method
3:47:01 - self keyword
3:49:02 - Assigning properties
3:49:34 - Creating an object
3:51:36 - Methods
4:03:03 - Class Inheritance
4:06:36 - Defining a Child Class
4:08:10 - Inheriting using the super() function
4:18:25 - SECTION 6 - Modules and Packages
4:21:45 - Modules
4:23:05 - Creating a helper module
4:25:42 - Importing modules
4:27:25 - Accessing Python Packages
4:29:00 - Working with APIs
4:32:02 - Installing packages with pip install
4:33:42 - Viewing installed packages with pip list
4:34:36 - Importing Packages
4:35:41 - Making API calls with requests.get()
4:45:46 - Parsing JSON
4:57:24 - SECTION 7 Files & Error handling
5:01:26 - Working with Files
5:02:32 - Writing Files using the with statement
5:07:04 - Reading from files
5:11:01 - Error Handling
5:14:26 - Using try except statements
5:19:37 - SECTION 8 Math and Projects
5:22:48 - Math in Python
5:24:54 - Math Operators
5:25:20 - Addition
5:26:01 - Subtraction
5:26:42 - Division
5:27:37 - Floor Division
5:29:06 - Modulus
5:31:28 - Multiplication
5:31:59 - Power
5:32:52 - Rounding with round()
5:34:15 - Absolute Values abs()
5:38:29 - Math Package
5:40:45 - Python Projects




Oh, and don't forget to connect with me!
LinkedIn: https://bit.ly/324Epgo
Facebook: https://bit.ly/3mB1sZD
GitHub: https://bit.ly/3mDJllD
Patreon: https://bit.ly/2OCn3UW
Join the Discussion on Discord: https://bit.ly/3dQiZsV

Happy coding!
Nick

P.s. Let me know how you go and drop a comment if you need a hand!

wisdom
4 Views · 5 months ago

This Data Science Full Course 2025 by Intellipaat is your complete guide to becoming a skilled data scientist, covering everything from Python programming to machine learning models and real-world projects, all in one video! We begin this video by answering what is data science and why it's one of the most in-demand fields today. You'll then dive into Python for data science, followed by mastering Pandas for data manipulation, and Matplotlib and Seaborn for stunning data visualizations. The course continues with Exploratory Data Analysis (EDA) techniques, where you'll learn how to clean, explore, and extract insights from data, a crucial step in any data science workflow.

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02:08:01 - Data Visualization with Seaborn
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03:35:30 - Types of Machine Learning
03:47:51 - Linear Regression
07:04:00 - Logistic Regression
07:44:27 - Support Vector Machine (SVM)
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✅ Data Wrangling with SQL
✅ Python with Data Science
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✅ Machine Learning and Prediction Algorithms
✅ Supervised and Unsupervised Learning in ML
✅ Deep Learning with TensorFlow
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wisdom
4 Views · 5 months ago

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00:13:33 - Roadmap to Data Science
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06:10:05 - Probability and Statistics
09:28:02 - Reinforcement Learning
- Classification of Machine Learning
- AI Agents Tutorial
- Data Science Interview Questions

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Learning Path
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wisdom
2 Views · 5 months ago

Step into the world of Data Science with this complete Data Science Full Course 2025, designed for beginners as well as professionals looking to upskill. This in-depth course takes you from the very basics of data science to advanced concepts used by industry experts. You’ll start by understanding what data science really is and explore the key differences between Data Engineer, Data Scientist, and Data Analyst roles. The video then walks you through a clear data science roadmap, followed by hands-on learning with Python, Pandas, data visualization using Matplotlib, and Exploratory Data Analysis (EDA).

As you progress, you’ll dive into machine learning concepts, including Linear Regression, Logistic Regression, Support Vector Machines (SVM), Decision Trees, and K-Means Clustering. The course also includes a real-world data science project walkthrough to help you apply what you’ve learned. To help you prepare for jobs, the video covers data science interview questions and ends with a MCP Server tutorial for practical exposure.

If you’re aiming for a career in data science in 2025, this course is a must-watch.

➡️ Below are the topics covered in Data Science Full Course 2026:
00:00:00 – Introduction to Data Science Full Course 2025
00:01:37 – What is Data Science?
00:06:31 – Data Engineer vs Data Scientist vs Data Analyst
00:15:47 – Roadmap for Data Science
00:24:47 – Python for Data Science
00:27:28 – Pandas for Data Science
01:33:31 – Data Visualization with Matplotlib
02:23:55 – Exploratory Data Analysis (EDA)
03:02:53 – Machine Learning Types
03:14:19 – Linear Regression
06:31:23 – Logistic Regression
07:11:48 – Support Vector Machine (SVM)
07:13:31 – Decision Tree
07:16:01 – Clustering (K-Means)
08:11:18 – Data Science Project Walkthrough
09:31:53 – Data Science Interview Questions
10:37:08 – MCP Server Tutorial

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🔥Register for Intellipaat's Premium Data Science Course: https://intellipaat.com/data-s....cientist-course-trai

➡️ About Data Science Course:
This online Data Science course, in collaboration with iHUB, IIT Roorkee & Microsoft, will help you to elevate your Data Science career. In this course, you will master skills like Python, SQL, Statistics, Machine Learning, AI, Power BI & Generative AI, along with real-time industry-oriented projects.

➡️ Key Features:
✅ 50+ Live interactive sessions across 7 months
✅ 218 Hrs Self-paced Videos
✅ 50+ Industry relevant Projects & Quizzes
✅ Live Classes from IIT Faculty & Industry Experts
✅ Certification from iHub IIT Roorkee & Microsoft
✅ 2 Days Campus Immersion at iHub IIT Roorkee

➡️ What’s Covered in This Program?
✅ Linux and Python Fundamentals
✅ Data Wrangling with SQL
✅ Python with Data Science
✅ Linear Algebra and Advanced Statistics
✅ Machine Learning and Prediction Algorithms
✅ Supervised and Unsupervised Learning in ML
✅ Deep Learning with TensorFlow
✅ Generative AI & Prompt Engineering
✅ Deploying Machine Learning Models on Cloud
✅ Data Visualization Tool Power BI

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wisdom
29 Views · 5 months ago

𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐩𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters....-program/data-scient
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00:01:54 What is Data Science?
00:09:36 Who is a Data Scientist?
00:41:46 Top 10 Reasons to Learn Data Science
00:46:22 Data Science Basics
01:39:38 Data Life Cycle
01:43:13 Statistics and Probability
03:15:43 Hypothesis Testing Statistics
04:08:36 What is Machine Learning?
04:25:31 Linear Regression
04:52:09 Logistic Regression
05:40:38 Decision Tree Algorithm
06:26:00 Random Forest
06:53:11 KNN Algorithm
07:25:37 Naive Bayes Classifier
07:45:55 Support Vector Machine
08:11:23 K- Means Clustering Algorithm
08:31:32 Apriori Algorithm Explained
09:01:13 Reinforcement Learning
09:22:40 What is Deep Learning?
09:46:33 Introduction to Keras
10:18:01 Data Science Roadmap
10:27:15 Data Science vs Data Analytics
10:37:14 Data Science for Non Programmers
11:05:10 Data Science Interview Questions

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wisdom
3 Views · 5 months ago

This Python data science course will take you from knowing nothing about Python to coding and analyzing data with Python using tools like Pandas, NumPy, and Matplotlib.


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This is a hands-on course and you will practice everything you learn step-by-step. This course was created by Maxwell Armi. You can check out more of his data science videos on his YouTube channel here: https://www.youtube.com/c/AISciencesLearn

🎥 Learn more about Data Science with videos from freeCodeCamp's Data Science Playlist: https://www.youtube.com/playli....st?list=PLWKjhJtqVAb

❤️ Try interactive Python courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from our friends at Scrimba)

⭐️ Course Contents ⭐️
⌨️ (0:00:00) Introduction to the Course and Outline
⌨️ (0:03:53) The Basics of Programming
⌨️ (1:11:35) Why Python
⌨️ (1:33:09) How to Install Anaconda and Python
⌨️ (1:37:25) How to Launch a Jupyter Notebook
⌨️ (1:46:28) How to Code in the iPython Shell
⌨️ (1:53:33) Variables and Operators in Python
⌨️ (2:27:45) Booleans and Comparisons in Python
⌨️ (2:55:37) Other Useful Python Functions
⌨️ (3:20:04) Control Flow in Python
⌨️ (5:11:52) Functions in Python
⌨️ (6:41:47) Modules in Python
⌨️ (7:30:04) Strings in Python
⌨️ (8:23:57) Other Important Python Data Structures: Lists, Tuples, Sets, and Dictionaries
⌨️ (9:36:10) The NumPy Python Data Science Library
⌨️ (11:04:12) The Pandas Python Data Science Python Library
⌨️ (12:01:31) The Matplotlib Python Data Science Library
⌨️ (12:09:00) Example Project: A COVID19 Trend Analysis Data Analysis Tool Built with Python Libraries

wisdom
2 Views · 5 months ago

This Data Science Full Course for Beginners by Intellipaat is your all-in-one guide to mastering the core concepts, math, and practical tools used by professional data scientists. Begin with “What is Data Science?” and follow a step-by-step roadmap designed to help you become industry-ready. Understand the math behind Linear Regression, explore R-Squared metrics, and get hands-on with model implementation. Dive deep into essential algorithms like Logistic Regression, Support Vector Machines (SVM), Decision Trees, and K-Means Clustering with practical demos.

You’ll also learn key Feature Engineering techniques, PCA, and LDA, must-have tools for dimensionality reduction and performance improvement. Complete with real-world hands-on practice, conceptual clarity, and interview questions to boost your job readiness, this course is a must-watch for anyone serious about entering the data science field in 2025.

Below are the topics covered in Data Science Full Course 2025:
00:00:00 – Introduction to Data Science Course
00:01:31 – What is Data Science?
00:06:22 – Data Scientist Roadmap
00:17:23 – Intro to Linear Regression
00:19:15 – Math Behind Linear Regression
01:08:36 – R-Squared Metrics
01:41:58 – Hands-on: Linear Regression
03:34:02 – Logistic Regression
03:36:06 – SVM Algorithm
03:37:26 – Decision Tree Algorithm
03:40:16 – K-Means Clustering Explained
05:33:19 – K-Means Hands-on
06:57:49 – Feature Engineering Techniques
07:07:16 – PCA (Principal Component Analysis)
10:14:30 – LDA (Linear Discriminant Analysis)
10:59:44 – Interview Questions (Data Science)

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This online Data Science course, in collaboration with iHUB, IIT Roorkee & Microsoft, will help you to elevate your Data Science career. In this course, you will master skills like Python, SQL, Statistics, Machine Learning, AI, Power BI & Generative AI, along with real-time industry-oriented projects.

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✅ Linux and Python Fundamentals
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wisdom
2 Views · 5 months ago

Learn the basic components of Data Science in this crash course for beginners.
If you want to learn more about data science after completing this course, check out Max's Free Getting Started with Data Science Workshop: https://codingwithmax.com/webinar/data-scientist/

In this course for beginners, you will learn about:

1. Statistics: we talk about the types of data you'll encounter, types of averages, variance, standard deviation, correlation, and more.

2. Data visualization: we talk about why we need to visualize our data, and the different ways of doing it (1 variable graphs, 2 variable graphs and 3 variable graphs.)

3. Programming: we talk about why programming helps us with data science including the ease of automation and recommended Python libraries for you to get started with data science.

❤️ Try interactive Databases courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Databases (Made possible by a grant from our friends at Scrimba)

⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:10:52) Statistical Data Types
⌨️ (0:25:10) Types of Averages
⌨️ (0:38:55) Spread of Data
⌨️ (0:50:54) Quantiles and Percentiles
⌨️ (0:55:52) Importance of Data Visualization
⌨️ (1:05:14) One Variable Graphs
⌨️ (1:12:04) Two Variable Graphs
⌨️ (1:25:08) Three and Higher Variable Graphs
⌨️ (1:31:20) Programming

Course from Coding With Max. Check out the Coding With Max blog: https://www.codingwithmax.com/blog
Full data science course: https://codingwithmax.teachabl....e.com/p/data-scienti

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://medium.freecodecamp.org

And subscribe for new videos on technology: https://youtube.com/subscripti....on_center?add_user=f

wisdom
3 Views · 5 months ago

Go to https://bit.ly/StatisticsCourseforDataScience to master Statistics for Data Science with a 7-day free Pro+ trial—get job-ready with AI resume builder, mock interviews, hands-on projects & real-world datasets.

Pro Course Coverage:
📊 Descriptive, Prescriptive & Predictive Statistics
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🛠️ Applications of Statistics in Data Science

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🏁 YouTube Video Chapters with Timestamps:
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04:26:55 – Introduction to Probability
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06:17:01 – Binomial Distribution
06:36:02 – Poisson Distribution

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wisdom
2 Views · 5 months ago

Mathematics and statistics for data science and machine learning: I am thrilled to announce that with this video I am starting a new series called mathematics and statistics for data science and machine learning. Math and stats as a field are very vast and whenever someone starts studying data science or machine learning the confusion is "how much math or statistics should I learn?" In this playlist I will cover only essential topics that can help you in your data science or ML journey.

Math/Stats for Data science, ML playlist: https://www.youtube.com/playli....st?list=PLeo1K3hjS3u
Math/Stats for Data science, ML playlist Hindi:https://www.youtube.com/playli....st?list=PLPbgcxheSpE

Check our Math and Statistics course for Data Science here : https://codebasics.io/courses/....math-and-statistics-

Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses.

🌎 Website: https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description

🎥 Codebasics Hindi channel: https://www.youtube.com/channe....l/UCTmFBhuhMibVoSfYo

#️⃣ Social Media #️⃣
🔗 Discord: https://discord.gg/r42Kbuk
📸 Dhaval's Personal Instagram: https://www.instagram.com/dhavalsays/
📸 Instagram: https://www.instagram.com/codebasicshub/
🔊 Facebook: https://www.facebook.com/codebasicshub
📱 Twitter: https://twitter.com/codebasicshub
📝 Linkedin (Personal): https://www.linkedin.com/in/dhavalsays/
📝 Linkedin (Codebasics): https://www.linkedin.com/company/codebasics/

❗❗ DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.

wisdom
5 Views · 5 months ago

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This Data Science Full Course 2026 by Simplilearn provides a structured learning path for mastering data science concepts. It starts with an introduction to data science, followed by a roadmap to becoming a data scientist. Learners will explore deep learning, probability, and statistics, which form the foundation of data science. The course then introduces Large Language Models (LLMs), benchmarking techniques, and the key differences between AI, ML, and DL. It also covers AI bias, OpenAI ChatGPT, and Generative AI tools for job interviews. Practical aspects are included with beginner-friendly machine learning projects and an overview of Mistral AI. Finally, the course concludes with data science interview questions, ensuring learners are well-prepared for real-world applications and job opportunities.

Following are the topics covered in Data Science Full Course 2026:

00:00:00 - Introduction to Data Science Full Course
00:04:21 - What is Data Science
00:13:33 - Roadmap to Data Science
05:23:46 - Data Science basics
06:10:05 - Probability and Statistics
09:28:02 - Reinforcement Learning
- Classification of Machine Learning
- AI Agents Tutorial
- Data Science Interview Questions

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✅ About Post Graduate Program In Data Science:
This in-depth Data Science program is designed for working professionals, and covers job-critical topics like R, Python programming, Machine Learning techniques, NLP notions, and Data Visualization with Tableau, using an active learning model that includes live sessions from global professionals, practical labs, IBM Hackathons, and corporate ready projects

Key Features


✅ Core curriculum delivered in live online classes by industry experts
✅ Industry-recognized IBM certificates for IBM courses
✅ Engage in live online masterclasses led by Industry Expert, staff, and IBM experts
✅ Exclusive hackathons and Ask Me Anything (AMA) sessions by IBM
✅ Gain exposure to ChatGPT, Gemini, Keras, TensorFlow and other prominent tools
✅ Interactive sessions on the latest AI trends, such as GenAI, prompt engineering, LLMs, and more
✅ 3 capstones and 25+ hands-on projects from various industry domains
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
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✅ Supervised and Unsupervised Learning
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✅ Machine Learning Algorithms
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Speech Recognition

Learning Path
✅ Program Induction
✅ Programming Refresher
✅ Data Management using SQL
✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning Specialization

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wisdom
3 Views · 5 months ago

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Data Science Full Course For Beginners 2026 by simplilearn is dedicated to help aspiring data scientists and data analysts about the fundamentals of data scientists. Learn Data Science In 12 Hours by Simplilearn will covet the following

Welcome to our comprehensive beginner's guide to Data Science for 2026! 🚀 Whether you're just starting out or looking to refresh your knowledge, this course is designed to provide you with a solid foundation in Data Science.

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Fundamentals of Data Science: Understand the basics, including data types, data collection, and data cleaning.
Statistics & Probability: Dive into the math that powers data analysis.
Data Visualization: Learn to create insightful visual representations of data.
Machine Learning: Get hands-on with algorithms and models that make predictions based on data.
Tools & Technologies: Master the use of Python, R, SQL, and key data science libraries and frameworks.
Real-World Projects: Apply your knowledge on real data science problems and solutions.

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This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

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✅ Integrated labs for hands-on learning experience

Skills Covered
✅ Generative AI
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wisdom
22 Views · 5 months ago

Download Intro to Python ebook (FREE) here 👉🏼 https://clickhubspot.com/cw0

In this video, we are diving into 10 mistakes and traps to avoid when learning data science and analytics. Do any of these resonate with you? Share in comments 👇🏽

# Subscribe https://www.youtube.com/sundaskhalid

# Watch this Next
https://youtube.com/playlist?list=PLNvMRDyXHRncmH4YJYcHhtLnxtqLOOm9o&si=Ut42VKeM9kW_T1N_
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# COURSES & CERTIFICATES
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0:00 intro
0:27 mistake 1
1:44 mistake 2
3:22 mistake 3
4:18 mistake 4
6:08 mistake 5
7:17 mistake 6
7:55 mistake 7
8:52 mistake 9
9:28 mistake 10

# Social Media
🎥 YouTube: https://www.youtube.com/sundaskhalid
🌄 Instagram: https://www.instagram.com/sundaskhalidd
⏰ TikTok: https://www.tiktok.com/@sundaskhalidd
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Some of the links included are affiliate links and help me keep this channel going. Thanks for the support. Business inquiries: partnerships@careerpy.com

#datascience

wisdom
4 Views · 5 months ago

💠💠About this Specialization💠💠
his action-packed Specialization is for data science enthusiasts who want to acquire practical skills for real world data problems. If you’re interested in pursuing a career in data science, and already have foundational skills or have completed the Introduction to Data Science Specialization, this program is for you!

This 4-course Specialization will give you the tools you need to analyze data and make data driven business decisions leveraging computer science and statistical analysis. You will learn Python–no prior programming knowledge necessary–and discover methods of data analysis and data visualization. You’ll utilize tools used by real data scientists like Numpy and Pandas, practice predictive modeling and model selection, and learn how to tell a compelling story with data to drive decision making.

⭐⭐⭐⭐🕑TIME STAMP📋⭐⭐⭐⭐⭐
👉 👉PYTHON FOR DATA SCIENCE, AI & DEVELOPMENT
0:00:00 Types
0:03:02 Expressions and variables
0:06:57 String operations
0:10:56 Lists and tuples
0:19:47 Dictionaries
0:22:13 Sets
0:27:30 Conditionas and branching
0:37:47 Loops
0:44:33 Functions
0:58:05 Exception handling
1:01:55 Objects and Classes
1:12:47 Reading writing files with open
1:19:25 Pandas
1:24:35 Numpy in Python
1:43:12 Simple APIs
1:53:32 Rest APIs Webscraping and working with files

👉 👉PYTHON PROJECT FOR DATA SCIENCE
2:16:50 Optional intro to webscraping

👉 👉DATA ANALYSIS WITH PYTHON
2:26:50 Importing datasets
2:46:36 Data Wrangling
3:05:59 Exploratory data analysis
3:25:40 Model Development
3:53:05 Model Evaluation

👉 👉DATA VISUALIZATION WITH PYTHON
4:14:15 Introduction to Data Visualization Tools
4:40:54 Basic Visualization Tools
4:54:09 Specialized visualization Tools
5:06:58 Advanced Visualization tools
5:12:21 Visualizing Geospatial Data
5:21:40 Creating Dashboards with Plotly and dash

👉 👉APPLIED DATA SCIENCE CAPSTONE
5:39:10 Capstone introduction and understanding the datasets
5:42:19 Collecting the data
5:46:34 Data Wrangling
5:48:45 Exploratory analysis using SQL
5:50:46 Interactive visual analytics and dashboard
5:52:39 Predictive analysis classification
5:53:39 How to present your findings

♥️♥️Thanks for watching don't forget to like and Subscribe♥️♥️


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wisdom
4 Views · 5 months ago

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This video on Python for Data Science Full Course 2026 by Simplilearn, is designed to help beginners learn how Python is used in real-world data science projects. You’ll start with Python basics and gradually move into data analysis, data manipulation, and visualization using popular libraries like NumPy, Pandas, and Matplotlib. The course explains core data science concepts in simple terms with practical examples. You’ll also understand how Python supports data-driven decision-making across industries. By the end of this free course, you’ll be confident using Python for data science tasks and ready to move toward advanced analytics and machine learning. Perfect for students, professionals, and anyone starting a career in data science.

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✅ 1. Python Full Course 2026 - https://youtu.be/lRfjnTYJnJ8
✅ 2. Python RAG Tutorial 2026 - https://youtu.be/WQTaM7tBlvc
✅ 3. Data Science Roadmap For 2026 - https://youtu.be/ZpINzjm_4Ks
✅ 4. FREE Data Scientist Course - https://youtu.be/_NsDrON32ww
✅ 5. Data Science Interview Questions - https://youtu.be/vtCwJKUhizg

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

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➡️ About Applied Generative AI Specialization

This Applied Generative AI course equips you to develop AI-powered applications using industry-relevant tools and frameworks. Build expertise in key concepts like prompt engineering, GANs, VAEs, and LLM architectures while exploring advanced topics, including agentic AI, LLM fine-tuning, RAG, and AI governance for practical, real-world deployments.

Key Features

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✅ Program completion certificate from Simplilearn
✅ 70+ hours of live, instructor-led training with industry experts
✅ Hands-on learning with 7+ real-world projects and a capstone project
✅ Master in-demand skills like LLM fine-tuning, prompt engineering, and AI governance
✅ Gain expertise with cutting-edge tools such as ChatGPT, Azure AI Studio, and LangChain
✅ Comprehensive curriculum covering AI Literacy, Agentic Frameworks, and Generative AI

✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Course completion certificate hosted on the Microsoft Learn portal for Microsoft courses
✅ Learn with a diverse cohort of professionals from industries like IT, banking, and education

Skills Covered
✅ Python Programming
✅ Prompt Engineering
✅ AI Literacy
✅ Generative AI Fundamentals
✅ Large Language Model LLM Architecture
✅ Agentic AI and Autonomous AI Agents
✅ LangChain for Workflow Design
✅ Retrieval Augmented Generation RAG
✅ LLM Fine Tuning and Customization
✅ Stable Diffusion
✅ Explainable AI
✅ Variational Autoencoders VAEs
✅ Transformers and Attention Mechanism
✅ GenAI Application Development
✅ LLM Benchmarking and Evaluation
✅ Generative AI Governance and Ethics

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wisdom
54 Views · 5 months ago

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This video on Python for Data Science Full Course 2026 by Simplilearn, is designed to help beginners learn how Python is used in real-world data science projects. You’ll start with Python basics and gradually move into data analysis, data manipulation, and visualization using popular libraries like NumPy, Pandas, and Matplotlib. The course explains core data science concepts in simple terms with practical examples. You’ll also understand how Python supports data-driven decision-making across industries. By the end of this free course, you’ll be confident using Python for data science tasks and ready to move toward advanced analytics and machine learning. Perfect for students, professionals, and anyone starting a career in data science.

Following are the topics covered in the Python for Data Science Full Course 2026:

00:00:00 - Introduction Python for Data Science Full Course 2026
00:02:51 - Data science pipeline and deployment demo
00:13:52 - NumPy fundamentals and array basics
00:46:07 - NumPy operations and special arrays
01:16:16 - Random numbers, arange/reshape, broadcasting
01:41:50 - Linear algebra and NumPy utilities
02:05:39 - Pandas: Series and DataFrame basics
02:34:10 - Reading data and practical I/O
03:01:12 - DataFrame EDA and exploration
03:25:26 - Indexing, feature engineering, sorting, cleaning
04:26:15 - GroupBy, pivot tables, and filtering
05:01:13 - Concatenation and merges
05:29:28 - Matplotlib fundamentals and chart choices
06:19:47 - Seaborn and Plotly visualizations
08:21:40 - Statistics foundations: variables and central tendency
09:15:06 - Dispersion, scaling, distributions, correlation, probability

Related Videos:
✅ 1. Python Full Course 2026 - https://youtu.be/lRfjnTYJnJ8
✅ 2. Python RAG Tutorial 2026 - https://youtu.be/WQTaM7tBlvc
✅ 3. Data Science Roadmap For 2026 - https://youtu.be/ZpINzjm_4Ks
✅ 4. FREE Data Scientist Course - https://youtu.be/_NsDrON32ww
✅ 5. Data Science Interview Questions - https://youtu.be/vtCwJKUhizg

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out More AI Videos By Simplilearn: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULyr_

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➡️ About Applied Generative AI Specialization

This Applied Generative AI course equips you to develop AI-powered applications using industry-relevant tools and frameworks. Build expertise in key concepts like prompt engineering, GANs, VAEs, and LLM architectures while exploring advanced topics, including agentic AI, LLM fine-tuning, RAG, and AI governance for practical, real-world deployments.

Key Features

✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Program completion certificate from Simplilearn
✅ 70+ hours of live, instructor-led training with industry experts
✅ Hands-on learning with 7+ real-world projects and a capstone project
✅ Master in-demand skills like LLM fine-tuning, prompt engineering, and AI governance
✅ Gain expertise with cutting-edge tools such as ChatGPT, Azure AI Studio, and LangChain
✅ Comprehensive curriculum covering AI Literacy, Agentic Frameworks, and Generative AI
✅ Skills Covered
✅ Python Programming
✅ Prompt Engineering
✅ AI Literacy
✅ Generative AI Fundamentals
✅ Large Language Model LLM Architecture
✅ Agentic AI and Autonomous AI Agents
✅ LangChain for Workflow Design
✅ Retrieval Augmented Generation RAG
✅ LLM Fine Tuning and Customization
✅ Stable Diffusion
✅ Explainable AI
✅ Variational Autoencoders VAEs
✅ Transformers and Attention Mechanism
✅ GenAI Application Development
✅ LLM Benchmarking and Evaluation
✅ Generative AI Governance and Ethics

👉 Enroll Now: https://www.simplilearn.com/applied-ai-course?utm_campaign=bN_H9uUFSWo&utm_medium=Description&utm_source=Youtube

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

wisdom
3 Views · 5 months ago

Step into the world of Data Science with our comprehensive video designed for beginners. We’ll cover everything you need to start your journey, from understanding the Data Science Life Cycle to exploring roles like Data Analyst, Data Scientist, and Data Engineer. Learn essential Python libraries, core statistics concepts, and key Machine Learning algorithms. Discover the role of SQL in data management and get introduced to Generative AI and ChatGPT. We’ll also guide you through practical Data Science projects and prep you for job interviews. Watch now and start building your skills today!

Learn Statistics for Data Science that includes key concepts like probability, hypothesis testing, and the importance of normal distribution and sampling in data analytics. Enroll for free and get a certificate of completion. https://www.mygreatlearning.com/academy/learn-for-free/courses/data-science-foundations?utm_source=CPV_YT&utm_medium=Desc&utm_campaign=DSFullCrswthSQLndPythnfrBgnnrs_2024

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🏁 Topics Covered:
00:00:00 Introduction
00:01:18 What is Data Science
00:03:07 Data Science Life Cycle
00:08:01 Data Analyst vs Data Scientist vs Data Engineer
00:10:24 Numpy
00:10:51 Creating and Intializing Numpy Array
00:21:21 Numpy Shape
00:23:43 Joinig Numpy arrays
00:27:12 Numpy Intersection and Differences
00:30:49 Numpy Array Mathematics
00:38:17 Numpy Matrix
00:41:32 Numpy Matrix Transpose and Multiplication
00:44:46 Numpy Save and Load
00:46:44 Pandas
00:47:10 Pandas Series Object
00:49:32 Changing Index
00:50:49 Series object from Dictionary
00:53:01 Extracting Individual Elements
00:57:39 Pandas Dataframe
00:58:15 Creating a Dataframe
01:00:36 Dataframe In-build Function
01:03:07 .iloc and loc function
01:07:02 Dropping Columns
01:08:22 Dropping rows
01:11:00 Matplotlib
01:11:12 Line plot
01:25:18 Bar plot
01:31:38 Scatter Plot
01:39:33 Histogram
01:46:15 Seaborn Line Plot
01:54:24 Seaborn Bar Plot
02:02:24 Seaborn Scatter Plot
02:07:38 Seaborn Histogram/ Distplot
02:16:56 Types of Statistical Analysis
02:22:29 Inferential Statistics
02:24:56 Descriptive Statistics
02:29:12 Measures of Central Tendency
02:37:40 Measures of Variability
02:43:03 Measures of Relationship
02:48:30 Measures of Skewness
02:51:33 Analysis of Variance
02:56:56 ANOVA Define
03:06:11 Grand Mean
03:10:12 F-Ratio
03:12:16 Hypothesis Testing
03:13:17 Types of Hypothesis Testing
03:18:25 Important Terms in Hypothesis Testing
03:20:30 ANOVA vs.T-test
03:22:06 Applications of ANOVA Test
03:23:01 Machine Learning
03:23:32 Supervised Learning
03:29:39 Unsupervised Learning
03:33:59 Reinforcement Learning
03:37:45 Clustering
03:39:20 Examples of Clustering
03:39:50 Need of Clustering
03:40:42 Types of Clustering
03:43:47 K-Means Clustering
03:44:51 Applications of K-means
03:51:55 Deciding value of K
03:53:00 Elbow Method
03:54:34 Implementation of K-means Clustering
04:19:16 Regression
04:21:24 Use case of Regression
04:23:05 Linear Regression
04:25:14 Multi Linear Regression
04:27:10 Types of Linear Regression
04:31:54 Demo - Simple Linear Regression
04:42:53 Demo- Multiple Linear Regression
05:25:09 Logistic Regression
05:30:23 Use Cases of Logistic Regression and its Demo
06:07:07 Installing MySQL
06:18:00 DML Command
06:48:39 DCL Command
06:56:50 TCL Commands
06:58:10 Joins in MySQL
07:00:14 INNER Join
07:50:17 Full Join
07:59:22 SELF Join
08:06:15 Subquery and Types
08:09:17 Demo on Subqueries
08:36:14 ALL Operators
09:04:06 Need of Gen AI in Data Science
09:05:54 Projects on Data Science
09:50:53 Top Data Science Interview Questions
10:20:23 Summary

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wisdom
4 Views · 5 months ago

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This Data Science Full Course Video by Simplilearn provides a detailed roadmap to learn data science. It begins with an introduction to data science and explores the future scope of AI. You’ll learn the skills to becoming a data scientist and dive into key topics like AI bias. The course also explains the differences between AI, ML, and DL (Artificial Intelligence, Machine Learning, and Deep Learning) and introduces deep learning and applied data science with Python. Additionally, it covers running Lama privately, understanding LLMs (Large Language Models) and their benchmarking, and working with LangChain. The video concludes with insights into the confusion matrix, beginner-friendly machine learning projects, and essential interview questions, offering a holistic learning experience for aspiring data scientists.

00:00:00 Introduction to Data Science Full Course
00:04:21 What is Data Science
00:05:55 How To Learn AI and Machine Learning
00:14:36 How to become Data Scientist
00:29:29 AI Bias Tutorial For Beginners
00:35:40 Difference between AI Machine Learning and Deep Learning
00:45:16 Roadmap to Data Science
01:31:35 Probability and Statistics
01:40:52 How To Learn Data Science Fast
06:51:05 Deep Learning
06:52:12 How to Run Lama Privately
07:00:56 Introduction to Large Language Models
07:14:25 LLM Benchmarking Tutorial
07:15:44 Lang chain Tutorial
07:43:12 Confusion Matrix in Machine Learning
07:44:02 Q Learning
08:16:19 Stable diffusion
09:23:16 Data Science Interview Questions

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Data Science tutorial videos: https://www.youtube.com/watch?v=X3paOmcrTjQ&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6

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➡️ About Data Science Course in collaboration with IBM

This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

Key Features
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Masterclasses from IBM experts
✅ Dedicated live sessions by faculty of industry experts
✅ Industry-recognized Data Scientist Master’s certificate from Simplilearn
✅ Industry-recognized IBM certifications for IBM courses
✅ Ask-Me-Anything (AMA) sessions with IBM leadership
✅ Capstone from 3 domains and 25+ projects
✅ Exclusive hackathons conducted by IBM
✅ Lifetime access to self-paced learning content
✅ Program crafted to initiate your journey as a Data Scientist
✅ Integrated labs for hands-on learning experience

Skills Covered
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Explainable AI
✅ Conversational AI
✅ Large Language Models
✅ Model Building and Finetuning
✅ Ensemble Learning
✅ Data Visualization
✅ Database Management

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wisdom
2 Views · 5 months ago

What data science is about!

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wisdom
28 Views · 5 months ago

This Data Science Full Course 2025 by Intellipaat is a complete learning path to master data science from scratch. It starts with an introduction to what is data science, then takes you through the basic Python understanding you need to get started in Data Science. Followed by that, you will go through hands-on sessions for learning libraries like Pandas and Matplotlib for data analysis and visualization. As you advance, you'll explore Exploratory Data Analysis (EDA) and understand different types of machine learning algorithms.

The course covers key ML models such as Linear Regression, Logistic Regression, Support Vector Machines (SVM), Decision Trees, and K-Means Clustering, each explained step by step. You’ll also build a real-world Data Science project (Recommendation System) and prepare for the job market with a detailed session on Data Science Interview Questions. Whether you're a beginner or switching careers, this complete data science course equips you with the practical skills to become job-ready in 2025.

Below are the topics covered in Data Science Full Course 2025:
00:00:00 - Introduction to Data Science Full Course
00:01:33 – What is Data Science?
00:06:26 – Python for Data Science
00:09:06 – Pandas for Data Science
01:15:09 – Data Visualization with Matplotlib
02:05:33 – Exploratory Data Analysis (EDA)
02:44:30 – Types of Machine Learning
02:56:51 – Linear Regression
06:13:00 – Logistic Regression
06:53:27 – Support Vector Machine (SVM)
06:55:09 – Decision Tree
06:57:27 – Clustering (K-Means)
07:52:07 – Data Science Project Walkthrough
09:13:31 – Data Science Interview Questions

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🔗 Supporting Media (The Detailed Deep-Dive Material)
1. Logistic Regression: https://youtu.be/29F-fXvowoI
2. SVM : https://youtu.be/2I8TJBfGml0
3. Decision Tree: https://youtu.be/JmAVQ5fDikk

➡️ About Data Science Course:
This online Data Science course, in collaboration with iHUB, IIT Roorkee & Microsoft, will help you to elevate your Data Science career. In this course, you will master skills like Python, SQL, Statistics, Machine Learning, AI, Power BI & Generative AI, along with real-time industry-oriented projects.

➡️ Key Features:
✅ 50+ Live interactive sessions across 7 months
✅ 218 Hrs Self-paced Videos
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✅ 2 Days Campus Immersion at iHub IIT Roorkee

➡️ What’s Covered in This Program?
✅ Linux and Python Fundamentals
✅ Data Wrangling with SQL
✅ Python with Data Science
✅ Linear Algebra and Advanced Statistics
✅ Machine Learning and Prediction Algorithms
✅ Supervised and Unsupervised Learning in ML
✅ Deep Learning with TensorFlow
✅ Generative AI & Prompt Engineering
✅ Deploying Machine Learning Models on Cloud
✅ Data Visualization Tool Power BI

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wisdom
2 Views · 5 months ago

Can you learn Data Science - even if you don't know Python - in just an hour? YES. In this complete tutorial, you'll learn the basics of data science and Python as you work with student data to predict a grade based on the number of hours studied.

Chapters:
Part 1:
00:00 Getting started with Visual Studio Code and Anaconda
01:09 Installing Jupyter Notebooks and Python
01:32 Creating a Jupyter Notebook
02:17 Working with data
09:27 Introduction to Pandas
10:18 Working with Data Frames
14:18 Read a CSV file into a Pandas Data Frame
15:31 Remove Null values in data
19:57 Adding a column to a Data Frame
21:26 Grouping data using 'groupby()'
Part 2:
25:16 Creating charts from data
26:12 Rainbow CSV
26:31 Using Matplotlib to make charts
28:02 Customizing charts with Matplotlib
32:18 Creating a pie chart with Matplotlib
34:12 Creating a chart directly from Data Frame
34:58 Data Science, Samples, and Distributions
35:45 Creating a histogram with Matplotlib
37:39 Central Tendencies, Mean, Median, and Mode
41:21 Creating a boxplot with Matplotlib
43:57 Visualizing probability density with Matplotlib
Part 3:
46:22 Creating a Jupyter Notebook
47:06 Statistical Outliers
49:22 Variance, Range, and Standard Deviation
52:39 68% Rule
56:37 Analyzing box plots
58:46 Normalizing ranges
01:02:17 Calculating Correlation value
01:04:19 Using regression lines
01:06:00 Least squares regression
01:09:54 Things are getting interesting
01:12:16 Thank you for learning with us!

Follow along with the interactive tutorial 👉 https://aka.ms/data-science-from-scratch

More free data science training 👉 https://aka.ms/learn-data-science

wisdom
35 Views · 5 months ago

🔥IIT Delhi - Data Analytics, Generative AI And Adaptive System - https://www.simplilearn.com/ihfc-iitd-data-analytics-genai-course?utm_campaign=WU-UrrP2OWU&utm_medium=Lives&utm_source=Youtube
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This Data Science Python Full Course 2026 by Simplilearn begins with an introduction to Python, setting the stage for why it's a powerful and popular language in today's tech landscape. Learners are then guided through the fundamentals, including what Python is and how it is used across industries. The course unboxes a comprehensive Data Science curriculum and outlines a clear roadmap to becoming a data science professional. It also explains what Data Science is and how Python plays a crucial role in it. After covering installation and setup, learners write their first Python program, building a strong foundation for hands-on coding. The course progresses to essential real-world applications, such as Exploratory Data Analysis (EDA), web scraping, and working with REST APIs using Python. To solidify learning, five top Python projects are demonstrated, giving practical exposure to coding challenges. Finally, the course concludes with key Python interview questions to help learners prepare for job opportunities and technical assessments.

The Python For Data Analytics Full Course video covers the following topics.

00:00:00 - Introduction to Python For Data Science Full Course 2026
00:04:21 - What is Data Science
00:10:31 - Data science course unboxing
00:19:43 - Roadmap to Data Science
00:37:05 - What is Python
00:43:35 - how to Install Python
06:35:07 - Data Science basics
06:36:31 - Introduction to LLM
07:15:10 - EDA Using Python
07:16:28 - Web Scraping Project in Python
11:40:24 - Data Science Interview Questions

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Data Science tutorial videos: https://www.youtube.com/watch?v=X3paOmcrTjQ&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6

#python #pythonprogramming #pythontutorial #pythonforbeginners #python3 #pythonprojects #pythoncoding #pythonfullstack #pythonfullcourse #simplilearn #2026

➡️ About Data Science Course in collaboration with IBM

This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

Key Features
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Masterclasses from IBM experts
✅ Dedicated live sessions by faculty of industry experts
✅ Industry-recognized Data Scientist Master’s certificate from Simplilearn
✅ Industry-recognized IBM certifications for IBM courses
✅ Ask-Me-Anything (AMA) sessions with IBM leadership
✅ Capstone from 3 domains and 25+ projects
✅ Exclusive hackathons conducted by IBM
✅ Lifetime access to self-paced learning content
✅ Program crafted to initiate your journey as a Data Scientist
✅ Integrated labs for hands-on learning experience

Skills Covered
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Explainable AI
✅ Conversational AI
✅ Large Language Models
✅ Model Building and Finetuning
✅ Ensemble Learning
✅ Data Visualization
✅ Database Management

👉 Learn More At: https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=WU-UrrP2OWU&utm_medium=Lives&utm_source=Youtube

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wisdom
4 Views · 5 months ago

Welcome to Part 1 of our comprehensive Python for Data Science full course! This 10+ hour video is packed with over 5 real-world projects to help you master Python and apply it effectively in data science.
Link to Download Notes - https://www.theiscale.com/cour....se-details/full-stac

In this video

00:03.27 - Intro
03:28 - How To Download Notes
08:06 - Python for Data Science Part 1 Full Course Overview
11:07 - Lecture No. 1 : Fundamentals of Data Science
1:13:54 - Lecture No. 2 : Variables & Data Types
2:04:20 - Lecture No. 3 : Operators in Python
3:05:21 - Lecture No. 4 : Built in Functions part 1
3:50:28 - Lecture No. 5 : Built in Functions part 2
4:46:51 - Lecture No. 6 : Special Interview Based Class
5:26:38 - Lecture No. 7 : Control Flow Statements
6:16:22 - Lecture No. 8 : Loops in Python part 1
6:50:38 - Lecture No. 9 : Loops in Python part 2
7:35:15 - Lecture No. 10 : User Defined Functions
8:14:27 - Lecture No. 11 : Special Interview Based Class
8:56:34 - Lecture No. 12 : Strings in Python part 1
9:38:22 - Lecture No. 13 : Strings in Python part 2
Libraries : Numpy, Pandas , Matplotlib, Seaborn, Plotly
5+ Projects

✨ Kickstart your career in a Data Science & Data Analyst. Apply today! - https://www.theiscale.com/Data....Analytics/data-analy

Stay Tuned for the upcoming parts 🎉

📚 Course Overview: Get an introduction to the course structure and what you can expect to learn.

🐍 Python Basics: Start with the fundamentals of Python programming, including variables, data types, and control structures.

🔄 Data Structures: Dive deep into essential data structures such as lists, dictionaries, and tuples.

📈 Data Manipulation: Learn how to manipulate and analyze data using powerful Python libraries like Pandas and NumPy.

🔍 Data Visualization: Discover how to create compelling data visualizations using Matplotlib and Seaborn.

🛠️ Real-World Projects: Apply your skills with hands-on projects that cover various data science problems, from data cleaning to building machine learning models.

🌟 Additional Resources: Access further resources and materials to enhance your learning experience.

✨Lecture 1 to 13 Notes - https://www.theiscale.com/cour....se-details/free-100-
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Whether you're a beginner or looking to solidify your knowledge, this course will provide you with the skills and confidence to tackle data science projects using Python. Don’t forget to like, comment, and subscribe for more parts and updates!

#Python #DataScience #FullCourse #LearnPython #DataScienceProjects #PythonProgramming #Pandas #NumPy #Matplotlib #Seaborn #TechEducation #DataAnalysis #MachineLearning

wisdom
8 Views · 5 months ago

🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-science-course?utm_campaign=dAkZTYgPBsw&utm_medium=Lives&utm_source=Youtube
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This Data Science Full Course Video by Simplilearn helps you learn a brief introduction to data science. followed by that, we will continue by discussing the scope of AI in future, then we will learn the roadmap to become a data scientist, followed by that, we will learn the AI BIAS topic, proceeding ahead we will learn the differences between AI, ML, and DL (Artificial intelligence vs machine learning vs deep learning), next we will have a brief introduction to deep learning and applied data science with python. Then we will learn how to Run Lama Privately. Afterwards, we will procced with an Introduction to LLm and LLM benchmarking, we will proceed with LangChain. Lastly we will discuss Confusion matrix, Machine learning projects for beginners and at the end we will discuss important interview questions. The video covers the following topics.

00:00:00 Introduction to Data Science Full Course
00:04:21 Data Science in 5 minutes
00:13:27 Future of AI
00:14:59 How to become Data Scientist
00:29:52 AI Bias
00:36:03 Difference between AI ML and DL
00:45:39 Roadmap to Data Science
00:54:56 Fastest way to Learn Data Science
06:48:37 Deep Learning
10:05:37 Applied Data Science with Python
10:06:44 Run Lama Privately
10:15:28 Introduction to LLM
10:28:57 LLM Benchmarking
10:30:16 Lang Chain Explained
10:57:44 Confusion Matrix ML
11:15:29 ML Projects for Beginners
12:22:26 Interview Questions

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Data Science tutorial videos: https://www.youtube.com/watch?v=X3paOmcrTjQ&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6

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What is Data Science?
Data science is the field of study that works with massive amounts of data utilizing relevant tools and techniques to derive valuable data. Companies across various industries generate vast amounts of data, so its applications range all the way from education, healthcare, and entertainment to Finance and Marketing.

✅ About Post Graduate Program In Data Science:
This in-depth Data Science program is designed for working professionals, and covers job-critical topics like R, Python programming, Machine Learning techniques, NLP notions, and Data Visualization with Tableau, using an active learning model that includes live sessions from global professionals, practical labs, IBM Hackathons, and corporate ready projects

Key Features


✅ Core curriculum delivered in live online classes by industry experts
✅ Industry-recognized IBM certificates for IBM courses
✅ Engage in live online masterclasses led by Industry Expert, staff, and IBM experts
✅ Exclusive hackathons and Ask Me Anything (AMA) sessions by IBM
✅ Gain exposure to ChatGPT, Gemini, Keras, TensorFlow and other prominent tools
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✅ 3 capstones and 25+ hands-on projects from various industry domains
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Model Building and Finetuning
✅ Supervised and Unsupervised Learning
✅ Ensemble Learning
✅ Deep Learning
✅ Data Visualization
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Explainable AI
✅ Machine Learning Algorithms
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Speech Recognition

Learning Path
✅ Program Induction
✅ Programming Refresher
✅ Data Management using SQL
✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning Specialization

👉 Enroll Now: https://www.simplilearn.com/in/data-analyst-course?utm_campaign=dAkZTYgPBsw&utm_medium=Lives&utm_source=youtube

wisdom
4 Views · 5 months ago

🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-science-course?utm_campaign=Ee8dDnwq374&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Microsoft Azure - Data Analyst Course - https://www.simplilearn.com/in/data-analyst-course?utm_campaign=Ee8dDnwq374&utm_medium=DescriptionFirstFold&utm_source=Youtube
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This video on Python libraries for the Data Science course will make you understand how to perform numerical computation, data analysis, and data visualization using NumPy, Pandas, and Matplotlib libraries. You will so get an idea about Scikit Learn for model building, BeautifulSoup for Web Scrapping. Finally, you will learn about TensorFlow.

Below are the topics we will be discussing in this video:
00:00:00 Top 5 Python Libraries for Data Science
00:16:34 NumPy
01:39:06 Pandas
02:31:37 Matplotlib
03:32:58 Web Scrapping Using Python
04:10:15 Scikit-Learn Tutorial
04:53:55 Tensorflow 2.0

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Data Science tutorial videos: https://www.youtube.com/watch?v=X3paOmcrTjQ&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6

#PythonLibrariesForDataScience #PythonLibrariesForBeginners #PythonLibrariesExplained #PythonLibrariesTutorial #DataScienceTutorial #DataScience #Simplilearn

➡️ About Data Science Course in collaboration with IBM

This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

Key Features
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Masterclasses from IBM experts
✅ Dedicated live sessions by faculty of industry experts
✅ Industry-recognized Data Scientist Master’s certificate from Simplilearn
✅ Industry-recognized IBM certifications for IBM courses
✅ Ask-Me-Anything (AMA) sessions with IBM leadership
✅ Capstone from 3 domains and 25+ projects
✅ Exclusive hackathons conducted by IBM
✅ Lifetime access to self-paced learning content
✅ Program crafted to initiate your journey as a Data Scientist
✅ Integrated labs for hands-on learning experience

Skills Covered
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Explainable AI
✅ Conversational AI
✅ Large Language Models
✅ Model Building and Finetuning
✅ Ensemble Learning
✅ Data Visualization
✅ Database Management

👉 Learn More At: https://www.simplilearn.com/in/data-analyst-course?utm_campaign=DataScience-Ee8dDnwq374&utm_medium=Description&utm_source=youtube

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wisdom
4 Views · 5 months ago

🔥IIT Delhi - Data Analytics, Generative AI And Adaptive System - https://www.simplilearn.com/ihfc-iitd-data-analytics-genai-course?utm_campaign=Dwtv_K_EmzQ&utm_medium=Lives&utm_source=Youtube
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This Data Science Python Full Course 2026 by Simplilearn begins with an introduction to Python, setting the stage for why it's a powerful and popular language in today's tech landscape. Learners are then guided through the fundamentals, including what Python is and how it is used across industries. The course unboxes a comprehensive Data Science curriculum and outlines a clear roadmap to becoming a data science professional. It also explains what Data Science is and how Python plays a crucial role in it. After covering installation and setup, learners write their first Python program, building a strong foundation for hands-on coding. The course progresses to essential real-world applications, such as Exploratory Data Analysis (EDA), web scraping, and working with REST APIs using Python. To solidify learning, five top Python projects are demonstrated, giving practical exposure to coding challenges. Finally, the course concludes with key Python interview questions to help learners prepare for job opportunities and technical assessments.

The Python For Data Analytics Full Course video covers the following topics.

00:00:00 - Introduction to Python For Data Science Full Course 2026
00:04:21 - What is Data Science
00:10:31 - Data science course unboxing
00:19:43 - Roadmap to Data Science
00:37:05 - What is Python
00:43:35 - how to Install Python
06:35:07 - Data Science basics
06:36:31 - Introduction to LLM
07:15:10 - EDA Using Python
07:16:28 - Web Scraping Project in Python
11:40:24 - Data Science Interview Questions

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Data Science tutorial videos: https://www.youtube.com/watch?v=X3paOmcrTjQ&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6

#python #pythonprogramming #pythontutorial #pythonforbeginners #python3 #pythonprojects #pythoncoding #pythonfullstack #pythonfullcourse #simplilearn #2026

➡️ About Data Science Course in collaboration with IBM

This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

Key Features
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Masterclasses from IBM experts
✅ Dedicated live sessions by faculty of industry experts
✅ Industry-recognized Data Scientist Master’s certificate from Simplilearn
✅ Industry-recognized IBM certifications for IBM courses
✅ Ask-Me-Anything (AMA) sessions with IBM leadership
✅ Capstone from 3 domains and 25+ projects
✅ Exclusive hackathons conducted by IBM
✅ Lifetime access to self-paced learning content
✅ Program crafted to initiate your journey as a Data Scientist
✅ Integrated labs for hands-on learning experience

Skills Covered
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Explainable AI
✅ Conversational AI
✅ Large Language Models
✅ Model Building and Finetuning
✅ Ensemble Learning
✅ Data Visualization
✅ Database Management

👉 Learn More At: https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=Dwtv_K_EmzQ&utm_medium=Lives&utm_source=Youtube

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wisdom
4 Views · 5 months ago

Go to https://bit.ly/Hands-onDataSciencewithPython to master Python for Data Science with a 7-day free Pro+ trial—get job-ready with AI resume builder, mock interviews, hands-on projects & real-world datasets.

Skills Covered:
🌟Python programming basics & OOP
🌟Data handling & manipulation with NumPy and Pandas
🌟Data visualization using Matplotlib and Seaborn
🌟Statistics and foundations of Data Science
🌟Supervised and Unsupervised Learning
🌟Regression techniques (Linear & Logistic)
🌟Time Series Analysis
🌟Real-world projects with Python

🏁 YouTube Video Chapters with Timestamps:
00:00 – Introduction
02:59 – Python Installation & Setup (PyCharm, Anaconda, Jupyter Notebook)
11:15 – Variables & Data Types
18:52 – Operators in Python
26:43 – Data Structures (Tuple, List, Dictionary, Set)
01:20:21 – Flow Control Statements
01:44:34 – Functions
01:59:32 – Object-Oriented Programming & Inheritance
02:49:55 – Python Libraries: NumPy, Pandas
03:50:03 – Data Visualization: Matplotlib & Seaborn
05:26:01 – Python Project: IPL Data
06:01:26 – Python Project: FIFA
06:22:23 – Python Project: Marvel/DC Characters
06:36:44 – Introduction to Data Science & Machine Learning
06:56:34 – Supervised & Unsupervised Learning
07:39:11 – Regression Techniques
09:31:53 – Time Series Analysis

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wisdom
2 Views · 5 months ago

Looking to start a career in data science in 2025? This Data Science Full Course by Intellipaat is your one-stop solution to mastering the entire data science lifecycle, from fundamentals to building real-world AI applications. Start with a clear understanding of what is data science and the data science lifecycle, followed by a detailed roadmap to become a data scientist. You’ll learn essential tools like Python and Pandas for data manipulation, then dive deep into Exploratory Data Analysis (EDA) to make sense of data.

Advance your skills with hands-on tutorials in machine learning algorithms such as Linear Regression, Logistic Regression, SVM, Decision Trees, and K-Means Clustering. This course also features an end-to-end data science project, expert career tips, real data science interview questions, and even a session on building your own AI agent. Bonus: Learn how to set up and work with an MCP server. Whether you're a beginner or looking to upskill, this course will help you become job-ready and build a successful career in data science.

Below are the topics covered in Data Science Full Course 2025:
00:00:00 - Introduction to Data Science Course
00:06:24 - What is Data Science?
00:10:51 - Data Science Lifecycle
00:13:36 - Roadmap to Become a Data Scientist
00:26:00 - Python for Data Science
00:28:41 - Pandas for Data Manipulation
01:34:42 - Understanding EDA
02:13:40 - Types of Machine Learning
02:26:25 - Linear Regression
05:42:34 - Logistic Regression
06:23:01 - Support Vector Machine (SVM)
06:24:42 - Decision Tree
06:27:18 - Clustering with K-Means
07:22:30 - End-to-End Data Science Project
08:43:05 - Expert Tips: How to Kickstart Your Data Science Journey
09:30:51 - Data Science Interview Questions
10:36:05 - Building an AI Agent from Scratch
10:57:21 - MCP Server Tutorial

#datasciencefullcourse #datasciencecourse #datasciencetraining #intellipaat

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➡️ About Data Science Course:
This online Data Science course, in collaboration with iHUB, IIT Roorkee & Microsoft, will help you to elevate your Data Science career. In this course, you will master skills like Python, SQL, Statistics, Machine Learning, AI, Power BI & Generative AI, along with real-time industry-oriented projects.

➡️ Key Features:
✅ 50+ Live interactive sessions across 7 months
✅ 218 Hrs Self-paced Videos
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✅ Certification from iHub IIT Roorkee & Microsoft
✅ 2 Days Campus Immersion at iHub IIT Roorkee

➡️ What’s Covered in This Program?
✅ Linux and Python Fundamentals
✅ Data Wrangling with SQL
✅ Python with Data Science
✅ Linear Algebra and Advanced Statistics
✅ Machine Learning and Prediction Algorithms
✅ Supervised and Unsupervised Learning in ML
✅ Deep Learning with TensorFlow
✅ Generative AI & Prompt Engineering
✅ Deploying Machine Learning Models on Cloud
✅ Data Visualization Tool Power BI

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wisdom
5 Views · 5 months ago

🔥Intellipaat Data Science course: https://intellipaat.com/data-s....cience-architect-mas
Intellipaat Data Science Course is a free Data Science tutorial for beginners as well as professionals to learn Data Science and its algorithms in a comprehensive crash course. This complete Data Science course masters you to learn the Data Science principles, tools, algorithms, and methodologies that make it a powerful medium to solve business problems.

➡Below are the topics covered in this Data Science for Beginners Course video:
00:00 - Data Science Course
01:45 - Who is a Data Scientist?
03:03 - Where do Data Scientist come from?
05:34 - What does a Data Scientist do?
09:00 - Prerequisites to become a Data Scientist
13:12 - Data Scientist Roles and Responsibilities
19:17 - Data Scientist Salary
21:05 - Who's hiring Data Scientist?
22:51 - Need of Data Science
24:13 - What is Data science?
25:14 - Understanding Different Techniques
25:21 - Data Visualization
25:39 - Data manipulation
26:05 - Statistical Analysis
26:25 - Machine Learning
28:09 - Life Cycle of Data Science
28:23 - Data Acquisition
28:50 - Data Preprocessing
29:06 - Model building
29:22 - Pattern Evaluation
29:44 - Knowledge Representation
30:03 - Chat-Bots
30:45 - Sentiment Analysis
31:08 - Image - Tagging
31:25 - What is Numpy?
33:21 - How to Create Numpy Array?
39:37 - Numpy Array Initialization
47:00 - Numpy Array Inspection
01:06:50 - Numpy Broadcasting
01:09:40 - Indexing and Slicing in Python
01:15:23 - Array Manipulation in Python
01:36:30 - Advantages of Numpy over List
01:45:56 - Pandas Module
01:46:50 - What is Pandas?
01:48:24 - Where did the name pandas come from?
01:49:55 - Features of Pandas
01:56:20 - Pandas vs Numpy
01:58:24 - How to import Pandas in Python?
01:59:09 - Data Structure in Pandas
02:00:29 - What is series object?
02:03:00 - How to change the Index name?
02:05:16 - What is a DataFrame?
02:06:03 - Features of DataFrame
02:07:27 - How to Create DataFrame?
02:18:40 - Merge, Join and Concatenate
02:56:00 - Quiz
02:58:45 - Basics of Data Visualization
03:05:45 - Plotting the graphs (Matplotlib Demo)
03:13:33 - Data Visualization Libraries
03:15:35 - What is Matplotlib?
03:16:20 - Why choose Matplotlib?
03:21:45 - Types of Plots and Demo on Matplotlib
04:29:55 - Introduction to Machine Learning
04:41:46 - What is Machine Learning?
04:43:30 - How does Machine Learn?
04:45:16 - Machine Learning popular Myth!
04:47:31 - Types of Machine Learning
04:48:05 - Supervised Learning
04:51:26 - Unsupervised Learning
04:59:36 - Reinforcement Learning
05:11:26 - Types of Regression
06:23:45 - Logistic Regression
06:44:27 - Spam Email Classifier
07:55:55 - What is Classification
07:56:47 - Types of Classification
08:08:11 - Visualizing a Decision Tree
08:10:00 - Decision Tree Terminology
08:14:35 - Creating a Decision Tree
08:16:00 - How do we split a Tree?
08:17:55 - Calculating Entropy
08:33:56 - Confusion Matrix
08:36:00 - Decision Tree Example Hands-on
08:45:10 - Understanding Naive Bayes Classifier
09:02:44 - Clustering algorithms
09:03:38 - What is Clustering?
09:04:57 - Examples of Clustering
09:08:20 - Types of Clustering
09:12:40 - K means Clustering
09:12:04 - What us k-means Clustering?
09:15:24 - Business Application of K-Means
09:16:36 - Understanding K-means Algorithm
09:34:27 - Python Project
10:33:50 - Python Interview Questions
11:21:57 - Machine Learning with Python
11:30:27 - Data Science Project
12:11:30 - Quiz
12:11:50 - Data Science Interview Questions

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wisdom
5 Views · 5 months ago

🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/big-data-and-analytics/senior-data-scientist-masters-program-training?utm_campaign=ruDfwMFpUh0&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Microsoft Azure - Data Analyst Course - https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=ruDfwMFpUh0&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Brown University - Applied AI & Data Science - https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=ruDfwMFpUh0&utm_medium=DescriptionFirstFold&utm_source=Youtube

This Data Science Full Course 2025 by Simplilearn, we start with a beginner-friendly introduction to Data Science, guiding you through its basics and how to start a career in this field. You’ll learn the roadmap to becoming a data scientist, starting with Probability and Statistics, a core foundation for analysis. The course then covers Data Science essentials, including Python basics, understanding Artificial Intelligence, Machine Learning, and Deep Learning, key roles like Data Analyst vs Data Scientist, and important concepts like distributions, Bayes Theorem, and the Data Science life cycle. We’ll dive deeper into Machine Learning, exploring algorithms like Decision Trees, Random Forests, K-Means, Naive Bayes, and Deep Learning. Finally, the course wraps up with top interview questions to prepare you for real-world roles in Data Science.

Following are the topics covered in Data Science Full Course 2025:

00:00:00 - Introduction to Data Science Full Course 2025
00:44:13 - Data Science Tutorial For Beginners
00:50:23 - Professional certificate course in Data Science
00:59:35 - Roadmap to Data Science
01:45:54 - Probability and Statistics
07:37:26 - Data Science Basics
• Introduction to Data Science
• Al vs ML vs DL vs Data Science
• Python Basics For Data Science
• Data Analyst vs Data Scientist vs Data Engineer
• Data Science Life-Cycle
• Statistics For Data Science
• Types of Distribution in Statistics
• Bayes Theorem
• Introduction to Artificial Intelligence
• Introduction to Machine Learning
10:54:25 - Machine Learning Basics
• Classification of Machine Learning
• Decision Tree in Machine Learning
• Random Forest Algorithm
• K Means Clustering Algorithm
• Naive Bayes Classifier
• What is Deep Learning?
12:01:22 - Data Science Interview Questions

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Data Science tutorial videos: https://www.youtube.com/watch?v=X3paOmcrTjQ&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6

#datascience #datasciencecourse #datascienceroadmap #datascientist #datascienceforbeginners #datasciencetools #simplilearn #2025

✅ About Post Graduate Program In Data Science:
This in-depth Data Science program is designed for working professionals, and covers job-critical topics like R, Python programming, Machine Learning techniques, NLP notions, and Data Visualization with Tableau, using an active learning model that includes live sessions from global professionals, practical labs, IBM Hackathons, and corporate ready projects

Key Features


✅ Core curriculum delivered in live online classes by industry experts
✅ Industry-recognized IBM certificates for IBM courses
✅ Engage in live online masterclasses led by Industry Expert, staff, and IBM experts
✅ Exclusive hackathons and Ask Me Anything (AMA) sessions by IBM
✅ Gain exposure to ChatGPT, Gemini, Keras, TensorFlow and other prominent tools
✅ Interactive sessions on the latest AI trends, such as GenAI, prompt engineering, LLMs, and more
✅ 3 capstones and 25+ hands-on projects from various industry domains
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Model Building and Finetuning
✅ Supervised and Unsupervised Learning
✅ Ensemble Learning
✅ Deep Learning
✅ Data Visualization
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Explainable AI
✅ Machine Learning Algorithms
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Speech Recognition

Learning Path
✅ Program Induction
✅ Programming Refresher
✅ Data Management using SQL
✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning Specialization

👉 Enroll Now: https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=ruDfwMFpUh0&utm_medium=Description&utm_source=youtube

wisdom
3 Views · 5 months ago

With this complete Data Science Course For Beginners 2026 FREE, created to guide beginners and career switchers step by step. This video gives you a clear understanding of how data science works in the real world and what skills are needed to succeed in 2025 and beyond.

You’ll begin by learning what data science is and how roles like Data Engineer, Data Scientist, and Data Analyst differ. The course then walks you through a practical data science roadmap, followed by hands-on learning with Python and Pandas for data handling and Matplotlib for data visualization. Next, you’ll explore Exploratory Data Analysis (EDA) and move into core machine learning concepts, including Linear Regression, Logistic Regression, SVM, Decision Trees, and K-Means Clustering. To bridge theory and practice, the video includes a real-world data science project walkthrough.

The course also helps you prepare for jobs with data science interview questions and wraps up with a MCP Server tutorial for practical exposure. Perfect for anyone serious about starting or growing a career in data science.

➡️ Below are the topics covered in Data Science Full Course 2026:
00:00:00 – Introduction to Data Science Full Course 2026
00:01:49 – What is Data Science?
00:06:43 – Data Engineer vs Data Scientist vs Data Analyst
00:15:59 – Roadmap for Data Science
00:24:59 – Python for Data Science
00:27:40 – Pandas for Data Science
01:33:43 – Data Visualization with Matplotlib
02:24:07 – Exploratory Data Analysis (EDA)
03:03:05 – Machine Learning Types
03:14:31 – Linear Regression
06:31:35 – Logistic Regression
07:12:00 – Support Vector Machine (SVM)
07:13:43 – Decision Tree
07:16:13 – Clustering (K-Means)
08:11:30 – Data Science Project Walkthrough
09:32:05 – Data Science Interview Questions
10:37:20 – MCP Server Tutorial

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🔥Register for Intellipaat's Premium Data Science Course: https://intellipaat.com/data-s....cientist-course-trai

➡️ About Data Science Course:
This online Data Science course, in collaboration with iHUB, IIT Roorkee & Microsoft, will help you to elevate your Data Science career. In this course, you will master skills like Python, SQL, Statistics, Machine Learning, AI, Power BI & Generative AI, along with real-time industry-oriented projects.

➡️ Key Features:
✅ 50+ Live interactive sessions across 7 months
✅ 218 Hrs Self-paced Videos
✅ 50+ Industry relevant Projects & Quizzes
✅ Live Classes from IIT Faculty & Industry Experts
✅ Certification from iHub IIT Roorkee & Microsoft
✅ 2 Days Campus Immersion at iHub IIT Roorkee

➡️ What’s Covered in This Program?
✅ Linux and Python Fundamentals
✅ Data Wrangling with SQL
✅ Python with Data Science
✅ Linear Algebra and Advanced Statistics
✅ Machine Learning and Prediction Algorithms
✅ Supervised and Unsupervised Learning in ML
✅ Deep Learning with TensorFlow
✅ Generative AI & Prompt Engineering
✅ Deploying Machine Learning Models on Cloud
✅ Data Visualization Tool Power BI

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

📚For more information, please write back to us at sales@intellipaat.com or call us at IND: +91-7022374614 / US : 1-800-216-8930

wisdom
5 Views · 5 months ago

🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-science-course?utm_campaign=7WRlYJFG7YI&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Microsoft Azure - Data Analyst Course - https://www.simplilearn.com/in/data-analyst-course?utm_campaign=7WRlYJFG7YI&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Microsoft Azure - Data Analyst Course - https://www.simplilearn.com/in/data-analyst-course?utm_campaign=7WRlYJFG7YI&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-science-course?utm_campaign=7WRlYJFG7YI&utm_medium=DescriptionFirstFold&utm_source=Youtube

Will cover all the below-given topics required for a complete Data Science Tutorial:
0. Introduction (0:00)
1. Data Science basics (01:28)
2. What is Data Science (05:51)
3. Need for Data Science (06:38)
4. Business intelligence vs Data Science (17:30)
5. Prerequisites for Data Science (22:31)
6. What does a Data Scientist do? (30:23)
7. Demand for Data Scientist (53:03)
8. Linear regression (2:30:10)
9. Decision trees (2:53:39)
10. Logistic regression in R (3:09:12)
11. What is a decision tree? (3:27:04)
12. What is clustering? (4:35:40)
13. Divisive clustering (4:51:14)
14. Support vector machine (5:17:21)
15. K-means clustering 96:44:13)
16. Time series analysis (7:33:05)
17. How to Become a Data Scientist (8:26:54)
18. Job roles in Data Science (8:30:59)
19. Simplilearn certifications in Data Science (8:33:50)
20. Who is a Data Science engineer? (8:34:34)
21. Data Science engineer resume (9:00:04)
22. Data Science interview questions and answers (9:04:42)

Download Datasets: https://drive.google.com/drive..../folders/1oa_hIIb4dn

Watch more videos on Data Science: https://www.youtube.com/watch?v=0gf5iLTbiQM&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6

#DataScienceWithPython #DataScienceWithR #DataScienceCourse #DataScience #DataScientist #BusinessAnalytics #machinelearning

➡️ About Data Science Course in collaboration with IBM

This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

Key Features
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Masterclasses from IBM experts
✅ Dedicated live sessions by faculty of industry experts
✅ Industry-recognized Data Scientist Master’s certificate from Simplilearn
✅ Industry-recognized IBM certifications for IBM courses
✅ Ask-Me-Anything (AMA) sessions with IBM leadership
✅ Capstone from 3 domains and 25+ projects
✅ Exclusive hackathons conducted by IBM
✅ Lifetime access to self-paced learning content
✅ Program crafted to initiate your journey as a Data Scientist
✅ Integrated labs for hands-on learning experience

Skills Covered
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Explainable AI
✅ Conversational AI
✅ Large Language Models
✅ Model Building and Finetuning
✅ Ensemble Learning
✅ Data Visualization
✅ Database Management

👉 Learn More At: https://www.simplilearn.com/in/data-analyst-course?utm_campaign=DataScienceSep182019&utm_medium=Description&utm_source=youtube

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wisdom
35 Views · 5 months ago

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐏𝐫𝐨𝐠𝐫𝐚𝐦 : https://www.edureka.co/masters....-program/data-scient
(𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
Data Science Masters Program makes you proficient in tools and systems used by Data Science Professionals. It includes training on Statistics, Data Science, Python, Apache Spark & Scala, Tensorflow and Tableau. The Data Science course curriculum has been determined by extensive research on 5000+ job descriptions across the globe.
📝Feel free to comment your doubts in the comment section below, and we will be happy to answer📝

-------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧---------

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---------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬---------

🔵 DevOps Engineer Masters Program: https://bit.ly/37p4goY
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🔵 Azure Cloud Engineer Masters Program: https://bit.ly/3NQb9Ax

--------𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐏𝗼𝘀𝘁 𝗚𝗿𝗮𝗱𝘂𝗮𝘁𝗲 𝐂𝐨𝐮𝐫𝐬𝐞𝐬--------
🔵 Artificial and Machine Learning PGD with E & ICT Academy
NIT Warangal: https://bit.ly/3Kji6bb
🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3uoajDH

📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟐 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩𝐓𝐨𝐩 𝟏𝟎 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 𝟐𝟎𝟐𝟮: https://bit.ly/3yhEs7S
⏩𝐓𝐨𝐩 𝟏𝟎 𝐇𝐢𝐠𝐡𝐞𝐬𝐭 𝐏𝐚𝐲𝐢𝐧𝐠 𝐉𝐨𝐛𝐬 𝐅𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3HcpPG6
⏩𝐓𝐨𝐩 𝟏𝟎 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3FW6F69
⏩𝐓𝐨𝐩 𝟏𝟎 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬 𝐟𝐨𝐫 𝟐𝟎𝟐𝟐: https://bit.ly/3gH57mr

📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/


Is there any eligibility criteria for this program?
A potential candidate must have one of the following prerequisites: Degrees like BCA, MCA, and B.Tech or Programming experience Should have studied PCM in 10+2

wisdom
3 Views · 5 months ago

🔥Edureka Python for Data Science Certification Training (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/data-sc....ience-python-certifi
This Edureka video on the 'Python For Data Science Full Course' will help you learn Python for Data Science including all the relevant libraries. Following are the topics discussed in this Python for Data Science tutorial:

00:00 Agenda
02:37 Introduction To Data Science
03:03 Need for Data Science
06:05 What is Data Science
10:56 Data Science Life Cycle
26:50 Jupyter Notebook Tutorial
48:34 Statistics For Data Science
02:14:32 Python Libraries For Data Science
02:14:25 Python Numpy
02:44:42 Python Pandas
03:18:24 Python Scipy
03:36:21 Python Matplotlib
04:04:19 Python Seaborn
04:22:57 Machine Learning With Python
04:33:47 Maths For Machine Learning
05:32:40 Machine Learning Algorithms
05:41:36 Classification In Machine Learning
06:14:07 Linear Regression In Machine Learning
06:41:59 Logistic Regression In Machine Learning
7:33:44 Deep Learning With Python
07:40:10 Keras Tutorial
08:06:14 TensorFlow Tutorial
08:52:35 Pyspark Tutorial

🔹 Edureka Community: https://bit.ly/EdurekaCommunity
🔹 Python Data Science Tutorial Playlist: https://goo.gl/WsBpKe
🔹 Python Data Science Blog Series: http://bit.ly/2sqmP4s

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 Python Online Training: http://bit.ly/3Oubt8M
🔵 Data Science Online Training: http://bit.ly/3V3nLrc

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh

🌕 Artificial and Machine Learning PGD with E&ICT Academy
NIT Warangal: http://bit.ly/3OuZ3xs

🔴 Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV

---------------------------------
Edureka Community: https://bit.ly/EdurekaCommunity
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
SlideShare: https://www.slideshare.net/EdurekaIN

#edureka #PythonEdureka #pythonfordatasciencefullcourse #pythonprojects #pythontutorial #PythonTraining

About the course

Python has been one of the premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing.

Edureka's Python Certification Training not only focuses on the fundamentals of Python, Statistics and Machine Learning but also helps one gain expertise in applied Data Science at scale using Python. The training is a step by step guide to Python and Data Science with extensive hands-on. The course is packed with several activity problems and assignments and scenarios that help you gain practical experience in addressing predictive modeling problems that would either require Machine Learning using Python. Starting from basics of Statistics such as mean, median and mode to exploring features such as Data Analysis, Regression, Classification, Clustering, Naive Bayes, Cross-Validation, Label Encoding, Random Forests, Decision Trees and Support Vector Machines with a supporting example and exercise help you get into the weeds.

Furthermore, you will be taught of Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to train your machine based on real-life scenarios using Machine Learning Algorithms.

Edureka’s Python course will also cover both basic and advanced concepts of Python like writing Python scripts, sequence and file operations in Python. You will use libraries like pandas, numpy, matplotlib, scikit, and master concepts like Python machine learning, scripts, and sequence.
---------------------------------
Why learn Python?

It's continued to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built-in debugger.

---------------------------------
For more information, please write back to us at sales@edureka.in or call us at IND: 9606058406 / US: 18338555775

wisdom
4 Views · 5 months ago

🔥 Intellipaat's Data Science Course: https://intellipaat.com/data-s....cientist-course-trai

🔥 Free Self-Paced Data Science Study Plan for Beginners: https://linktw.in/nSVhcp

#DataScience #DataScientist #DataScienceCourse #DataScienceCoursesFree

The Data Science Full Course for Beginners by Intellipaat is designed in collaboration with real-time industry experts to provide a comprehensive learning experience. This Data Science Training program has been meticulously crafted based on a thorough analysis of data scientist job descriptions for 2024, ensuring that you acquire the skills necessary for an entry-level data scientist role. Throughout this Data Science Tutorial for Beginners, you'll explore fundamental topics such as what data science is, how to become a data scientist in 2024, machine learning for data science, and various data science algorithms. Additionally, the course offers insights into common data science interview questions for 2024 and features a stellar data science project that will help set you apart from the competition.

📖Below are the concepts covered in this 'Data Science Full Course' video:
00:00:00 - Introduction to Data Science Course
00:02:50 - What is Data Science?
00:09:30 - How to Become a Data Scientist in 2024?
00:20:15 - What Does a Data Scientist Do?
00:23:10 - How to Master Data Science
00:36:50 - Machine Learning with Python
00:51:40 - Machine Learning Basics
01:14:00 - ML Myths
01:31:14 - TYPES OF ML
01:54:00 - Classification Algorithms
02:07:07 - What is Regression?
02:21:06 - Types of Regression
02:28:22 - What is Linear Regression?
03:24:37 - What is Logistic Regression?
03:43:00 - Linear Regression Hands-On
04:50:00 - Logistic Regression Hands-On
07:20:00 -Decision Tree Algorithm
08:53:00 - Random Forest Algorithm in Machine Learning
10:20:44 - Data Science Project (Book Recommendation System)
11:00:00 - Data Science Interview Questions and Answers

✅ What exactly is data science course?
A Data Science Course is a complete learning resource that would enable you to master the data science discipline. You will get to learn about the fundamentals of data science such as Machine Learning, Multiple data science algorithms, projects, etc.

👉🏼In this Free Data Science courses video, you will undergo 4+ Data Science Courses along with multiple Quizes and industry-oriented project.
Course 1: Introduction to Data Science
Course 2: Machine Learning with Python
Course 3: Supervised and Unsupervised Learning in ML
Course 4: Building Robust Data Science Project

➡️ About the Course
This instructor-led Data Science Training, in association with iHUB, IIT Roorkee, will help you master Data Science & AI. The training covers Python, SQL, Statistics, Machine Learning, AI, etc, along with work on real-time projects.

➡️Who should take this course?
☑️Information Architects and Statisticians
☑️Developers looking to master Machine Learning and Predictive Analytics
☑️Big Data, Business Analysis, Business Intelligence, and Software Engineering Professionals


➡️Key Features - (Course Features)
👉🏼50+ Live sessions across 7 months
👉🏼218 Hrs Self-paced Videos
👉🏼200 Hrs Project & Exercises
👉🏼Learn from IIT Roorkee Faculty and Industry Practitioners
👉🏼1:1 with Industry Mentors and 24*7 Support
👉🏼Campus Immersion at IIT Roorkee

➡️What’s Covered in This Program? -
✅Preparatory Session - Linux and Python
✅Data Wrangling with SQL
✅Python with Data Science
✅Linear Algebra and Advanced Statistics
✅Machine Learning
✅Performance Metrics
✅Deep Learning Using TensorFlow
✅Data Science Capstone Project
✅Business Case Studies

📌Do subscribe to Intellipaat channel & come across more relevant Tech content: https://www.youtube.com/@Intellipaat
📌Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

More Intellipaat Advanced Certifications -
🌕 Advanced Certification in Cloud Computing: https://intellipaat.com/advanc....ed-certification-in-
🌕 Advanced Certification in Data Science: https://intellipaat.com/advanc....ed-certification-in-
🌕 Advanced Certification in Full Stack Web Development: https://intellipaat.com/web-de....velopment-certificat
🌕 Advanced Certification in UI/UX Design: https://intellipaat.com/ui-ux-course/
🌕 Advanced Certification in Electric Vehicle Design: https://intellipaat.com/electr....ic-vehicle-design-co

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📚For more information, please write back to us at sales@intellipaat.com or call us at IND : +91-7022374614 / US : 1-800-216-8930 (Toll Free)

wisdom
4 Views · 5 months ago

Here is Data Science full course to help you understand the DS in depth. This session will help you understand the concepts around Data Science and how to go about writing a research paper. Check out our FREE masterclasses by Industry Leading experts now: https://www.scaler.com/events?utm_source=osocial&utm_medium=googleyoutube&utm_campaign=brand_scaler_events_osocial_googleyoutube_data-science-tutorial-2023&utm_content=description

What is Data Science?

Data science is a field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured Data, and apply insights from data across a broad range of application domains. Data science combines the scientific method, math and statistics, specialised programming, and advanced analytics, to uncover and explain the insights buried in data.

What is Machine Learning?
Machine learning (ML) is the study of computer algorithms that can improve automatically through experience and by the use of data .It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so.

Busting Data Science Myths:

It’s easier now than ever before for ideas to spread around the world, including through fact-based communities like the one inhabited by data scientists. However, that doesn’t necessarily mean that every data science “fact” we hear is actually truthful.

In fact, some commonly known “facts” are little more than hearsay, misinterpretations, or, at worst, outright myths.

Python Programming Language:
Python is the most widely used data science programming language in the world today. It is an open-source, easy-to-use language that has been around since the year 1991. This general-purpose and dynamic language is inherently object-oriented. It also supports multiple paradigms, from functional to structured and procedural programming. Therefore, it is one of the most popular languages for data science as well. With less than 1000 iterations, it is faster and a better option for data manipulations.

What is A/B testing?
A/B testing, also known as split testing, refers to a randomised experimentation process wherein two or more versions of a variable (web page, page element, etc.) are shown to different segments of website visitors at the same time to determine which version leaves the maximum impact and drive business metrics. Essentially, A/B testing eliminates all the guesswork out of website optimization and enables experience optimisers to make data-backed decisions.

What is the Confusion Matrix?
A confusion matrix is a tool for predictive analysis. It’s a table that compares predicted values with actual values. In the machine learning context, a confusion matrix is a metric used to quantify the performance of a machine learning classifier. The confusion matrix is used when there are two or more classes as the output of the classifier.


0:00 - Introduction
1:25 - Highest Paying Data Job Roles
26:15 - Data Science Myths Busted
40:12 - Data Scientist vs ML Engineer
49:20 - What is Data Science?
1:43:43 - Data Science & AI for beginners
2:06:22 - Python for Data Science
2:57:54 - Data Science with Python and R
3:52:22 - A/B Testing Basics Explained
4:11:20 - Confusion Matrix
4:29:48 - Principle Component Analysis
4:45:07 - Data Science Interview Questions
7:13:03 - Research Papers on Data Science & Machine Learning

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#datascience #datascientist #bigdata #shashankmishra #scaler

wisdom
2 Views · 5 months ago

Kickstart your Data Science career in 2025 with this complete step-by-step course by Intellipaat perfect for beginners and professionals looking to upskill. In this full video, you’ll learn everything from Python to Machine Learning, along with real-world projects and interview prep.

We’ll start with the basics of Data Science, understand the roles of Data Engineer, Data Scientist, and Data Analyst, and explore the career roadmap for 2025. Then, dive into hands-on learning with Python, Pandas, Matplotlib, and EDA, followed by Machine Learning algorithms like Linear & Logistic Regression, SVM, Decision Trees, and K-Means Clustering. Finally, watch a complete Data Science project walkthrough, get interview-ready, and learn MCP Server implementation to boost your practical knowledge.

Below are the topics covered in Data Science Full Course 2025:
00:00:00 - Introduction to Data Science Full Course 2025
00:01:49– What is Data Science?
00:06:43 – Data Engineer vs Data Scientist vs Data Analyst
00:15:59 - Roadmap for Data Science
00:24:59 – Python for Data Science
00:27:40 – Pandas for Data Science
01:33:43 – Data Visualization with Matplotlib
02:24:07 – Exploratory Data Analysis (EDA)
03:03:05 – Machine Learning Types
03:14:31 – Linear Regression
06:31:35 – Logistic Regression
07:12:00 – Support Vector Machine (SVM)
07:13:43 – Decision Tree
07:16:13 – Clustering (K-Means)
08:11:30 – Data Science Project Walkthrough
09:32:05 – Data Science Interview Questions
10:37:20 – MCP Server Tutorial

#datasciencefullcourse #datasciencecourse #datasciencetraining #intellipaat

🔥Register for Intellipaat's Premium Data Science Course: https://intellipaat.com/data-s....cientist-course-trai

➡️ About Data Science Course:
This online Data Science course, in collaboration with iHUB, IIT Roorkee & Microsoft, will help you to elevate your Data Science career. In this course, you will master skills like Python, SQL, Statistics, Machine Learning, AI, Power BI & Generative AI, along with real-time industry-oriented projects.

➡️ Key Features:
✅ 50+ Live interactive sessions across 7 months
✅ 218 Hrs Self-paced Videos
✅ 50+ Industry relevant Projects & Quizzes
✅ Live Classes from IIT Faculty & Industry Experts
✅ Certification from iHub IIT Roorkee & Microsoft
✅ 2 Days Campus Immersion at iHub IIT Roorkee

➡️ What’s Covered in This Program?
✅ Linux and Python Fundamentals
✅ Data Wrangling with SQL
✅ Python with Data Science
✅ Linear Algebra and Advanced Statistics
✅ Machine Learning and Prediction Algorithms
✅ Supervised and Unsupervised Learning in ML
✅ Deep Learning with TensorFlow
✅ Generative AI & Prompt Engineering
✅ Deploying Machine Learning Models on Cloud
✅ Data Visualization Tool Power BI

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

📚For more information, please write back to us at sales@intellipaat.com or call us at IND: +91-7022374614 / US : 1-800-216-8930

wisdom
35 Views · 5 months ago

🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/big-data-and-analytics/senior-data-scientist-masters-program-training?utm_campaign=yoy-2kwzKd0&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Microsoft Azure - Data Analyst Course - https://www.simplilearn.com/in/data-analyst-course?utm_campaign=yoy-2kwzKd0&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Microsoft Azure - Data Analyst Course - https://www.simplilearn.com/in/data-analyst-course?utm_campaign=yoy-2kwzKd0&utm_medium=DescriptionFirstFold&utm_source=Youtube

This Data Science Full Course 2026 by Simplilearn, begins with an introduction to data science, building a strong foundation in the field. You’ll then dive into probability and statistics and the essential mathematics for machine learning, which form the backbone of data-driven problem-solving. The program continues with a detailed roadmap to data science, guiding you through the most in-demand skills, tools, and frameworks needed for career growth. From there, you’ll explore key machine learning algorithms, including classification, decision trees, random forests, K-means clustering, and Naive Bayes, before moving into deep learning concepts such as neural networks and model optimization. You’ll also gain hands-on experience with Python, NumPy, Pandas, Matplotlib, and Scikit-learn to analyze and visualize data effectively. By the end of this course, you’ll not only master the complete lifecycle of a data science project—from data collection and cleaning to model deployment, but also develop the confidence to tackle real-world case studies. Finally, the course concludes with data science interview questions and answers designed to prepare you for top-tier roles in analytics and AI-driven industries.

Following are the topics covered in Data Science Full Course 2026:

00:00:00 - Data Science Full Course 2026
00:02:08 - Introduction to Data Science
03:07:51 - Probability and Statistics
03:54:10 - Mathematics for Machine Learning
05:44:34 - Roadmap to Data Science
05:53:46 - Machine Learning Algorithms
- Classification of Machine Learning
- Decision Tree in Machine Learning
- Random Forest Algorithm
- K Means Clustering Algorithm
- Naive Bayes Classifier
- What Is Deep Learning?
09:10:45 - Data Science Interview Questions and Answers

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Data Science tutorial videos: https://www.youtube.com/watch?v=X3paOmcrTjQ&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6

#datascience #datasciencecourse #datascienceroadmap #datascientist #datascienceforbeginners #datasciencetools #simplilearn #2026

✅ About Post Graduate Program In Data Science:
This in-depth Data Science program is designed for working professionals, and covers job-critical topics like R, Python programming, Machine Learning techniques, NLP notions, and Data Visualization with Tableau, using an active learning model that includes live sessions from global professionals, practical labs, IBM Hackathons, and corporate ready projects

Key Features


✅ Core curriculum delivered in live online classes by industry experts
✅ Industry-recognized IBM certificates for IBM courses
✅ Engage in live online masterclasses led by Industry Expert, staff, and IBM experts
✅ Exclusive hackathons and Ask Me Anything (AMA) sessions by IBM
✅ Gain exposure to ChatGPT, Gemini, Keras, TensorFlow and other prominent tools
✅ Interactive sessions on the latest AI trends, such as GenAI, prompt engineering, LLMs, and more
✅ 3 capstones and 25+ hands-on projects from various industry domains
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Model Building and Finetuning
✅ Supervised and Unsupervised Learning
✅ Ensemble Learning
✅ Deep Learning
✅ Data Visualization
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Explainable AI
✅ Machine Learning Algorithms
✅ Model Training and Optimization
✅ Model Evaluation and Validation
✅ Natural Language Processing
✅ Computer Vision
✅ Reinforcement Learning
✅ Speech Recognition

Learning Path
✅ Program Induction
✅ Programming Refresher
✅ Data Management using SQL
✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning Specialization

👉 Enroll Now: https://www.simplilearn.com/in/data-analyst-course?utm_campaign=yoy-2kwzKd0&utm_medium=Description&utm_source=youtube

wisdom
4 Views · 5 months ago

🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-science-course?utm_campaign=X3paOmcrTjQ&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Microsoft Azure - Data Analyst Course - https://www.simplilearn.com/in/data-analyst-course?utm_campaign=X3paOmcrTjQ&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Microsoft Azure - Data Analyst Course - https://www.simplilearn.com/in/data-analyst-course?utm_campaign=X3paOmcrTjQ&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-science-course?utm_campaign=X3paOmcrTjQ&utm_medium=DescriptionFirstFold&utm_source=Youtube

This What is Data Science Video will give you an idea of a life of Data Scientist. This Data Science for Beginners video will also explain the steps involved in the Data Science project, roles & salary offered to a Data Scientist. Data Science is basically dealing with unstructured and structured data. Data Science is a field that comprises of everything that is related to data cleansing, preparation, and data analysis.

Below topics are explained in this Data Science tutorial:

00:00 Introduction
00:10 Life of a Data Scientist
Steps in Data Science project
00:21 Understanding the business problem
00:37 Data acquisition
00:51 Data preparation
01:29 Exploratory data analysis
01:52 Data modeling
02:20 Visualization and communication
02:43 Deploy & maintenance
03:11 Roles offered to a Data Scientist
03:53 Salary of a Data Scientist

To learn more about Data Science, subscribe to our YouTube channel: https://www.youtube.com/user/S....implilearn?sub_confi

Download the Data Science career guide to explore and step into the exciting world of data, and follow the path towards your dream career: https://bit.ly/34ZGYRw

Watch more videos on Data Science: https://www.youtube.com/watch?v=0gf5iLTbiQM&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6

#DataScience #WhatIsDataScience #DataScienceForBeginners #DataScientist #DataScienceTutorial #DataScienceWithPython #DataScienceWithR #DataScienceCourse #BusinessAnalytics #DataScience101 #MachineLearning

➡️ About Data Science Course in collaboration with IBM

This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

Key Features
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Masterclasses from IBM experts
✅ Dedicated live sessions by faculty of industry experts
✅ Industry-recognized Data Scientist Master’s certificate from Simplilearn
✅ Industry-recognized IBM certifications for IBM courses
✅ Ask-Me-Anything (AMA) sessions with IBM leadership
✅ Capstone from 3 domains and 25+ projects
✅ Exclusive hackathons conducted by IBM
✅ Lifetime access to self-paced learning content
✅ Program crafted to initiate your journey as a Data Scientist
✅ Integrated labs for hands-on learning experience

Skills Covered
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Explainable AI
✅ Conversational AI
✅ Large Language Models
✅ Model Building and Finetuning
✅ Ensemble Learning
✅ Data Visualization
✅ Database Management

👉 Learn More At: https://www.simplilearn.com/in/data-analyst-course?utm_campaign=DataScienceScribe&utm_medium=Description&utm_source=youtube

🔥🔥

wisdom
4 Views · 5 months ago

Welcome to the Intellipaat's Data Science Full Course 2025 your complete roadmap to becoming a Data Scientist from scratch! Whether you’re a beginner or an upskiller, this one video covers everything you need to master Python, Machine Learning, EDA, and real-world projects all in one place.

In this course, you’ll learn what Data Science really is, explore the differences between Data Engineer, Data Analyst, and Data Scientist, and get a clear career roadmap for 2025. Then, dive deep into Python, Pandas, Data Visualization (Matplotlib), Machine Learning models, and even a complete Data Science Project Walkthrough. Plus, we’ll end with real interview questions and a hands-on MCP Server tutorial to help you stand out in job interviews. If you’re serious about starting your Data Science career, don’t skip this video it’s the only guide you need for 2025!

Below are the topics covered in Data Science Full Course 2025:
00:00:00 - Introduction to Data Science Full Course 2025
00:01:49– What is Data Science?
00:06:43 – Data Engineer vs Data Scientist vs Data Analyst
00:15:59 - Roadmap for Data Science
00:24:59 – Python for Data Science
00:27:40 – Pandas for Data Science
01:33:43 – Data Visualization with Matplotlib
02:24:07 – Exploratory Data Analysis (EDA)
03:03:05 – Machine Learning Types
03:14:31 – Linear Regression
06:31:35 – Logistic Regression
07:12:00 – Support Vector Machine (SVM)
07:13:43 – Decision Tree
07:16:13 – Clustering (K-Means)
08:11:30 – Data Science Project Walkthrough
09:32:05 – Data Science Interview Questions
10:37:20 – MCP Server Tutorial

#datasciencefullcourse #datasciencecourse #datasciencetraining #intellipaat

🔥Register for Intellipaat's Premium Data Science Course: https://intellipaat.com/data-s....cientist-course-trai

➡️ About Data Science Course:
This online Data Science course, in collaboration with iHUB, IIT Roorkee & Microsoft, will help you to elevate your Data Science career. In this course, you will master skills like Python, SQL, Statistics, Machine Learning, AI, Power BI & Generative AI, along with real-time industry-oriented projects.

➡️ Key Features:
✅ 50+ Live interactive sessions across 7 months
✅ 218 Hrs Self-paced Videos
✅ 50+ Industry relevant Projects & Quizzes
✅ Live Classes from IIT Faculty & Industry Experts
✅ Certification from iHub IIT Roorkee & Microsoft
✅ 2 Days Campus Immersion at iHub IIT Roorkee

➡️ What’s Covered in This Program?
✅ Linux and Python Fundamentals
✅ Data Wrangling with SQL
✅ Python with Data Science
✅ Linear Algebra and Advanced Statistics
✅ Machine Learning and Prediction Algorithms
✅ Supervised and Unsupervised Learning in ML
✅ Deep Learning with TensorFlow
✅ Generative AI & Prompt Engineering
✅ Deploying Machine Learning Models on Cloud
✅ Data Visualization Tool Power BI

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

📚For more information, please write back to us at sales@intellipaat.com or call us at IND: +91-7022374614 / US : 1-800-216-8930

wisdom
4 Views · 5 months ago

🔥Discover SKillUP free online certification programs – https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=18FebSKillupYT&utm_medium=DescriptionFF&utm_source=youtube

🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-science-course?utm_campaign=iROHLA_TXQM&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Microsoft Azure - Data Analyst Course - https://www.simplilearn.com/in/data-analyst-course?utm_campaign=iROHLA_TXQM&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Microsoft Azure - Data Analyst Course - https://www.simplilearn.com/in/data-analyst-course?utm_campaign=iROHLA_TXQM&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-science-course?utm_campaign=iROHLA_TXQM&utm_medium=DescriptionFirstFold&utm_source=Youtube

In this video on R for Data Science Full Course, we’ll start by learning data science from an animated video. You will then learn the essential concepts in data science and understand the important packages in R for data science. You will look at some of the widely used data science algorithms such as Linear regression, logistic regression, decision trees, and random forest, including time-series analysis. Finally, you will get an idea about the Salary structure, Skills, Jobs, and resume of a data scientist.

Dataset Link - https://drive.google.com/drive..../folders/1Wn2TRSbM2C

00:00:00 Data science in 5 min
00:05:23 Data science concept
00:17:40 Data science package in R
01:18:51 Linear Regression in R
01:47:07 Use Case :Linear Regression
02:04:31 Logistic Regression in R
02:22:37 Decision tree in R
03:22:03 Random forest in R
04:02:10 What is clustering
04:43:54 Time series analysis
05:54:16 Salary, Skills, and resume

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Data Science training videos: https://bit.ly/3fKucdD

#RForDataScience #DataScienceWithR #DataScienceWithRFullCourse #DataScienceWithRTutorial #DataScienceFullCourse #DataScienceTutorial #DataScience #Simplilearn

➡️ About Data Science Course in collaboration with IBM
This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Masterclasses from IBM experts
- Dedicated live sessions by faculty of industry experts
- Industry-recognized Data Scientist Master’s certificate from Simplilearn
- Industry-recognized IBM certifications for IBM courses
- Ask-Me-Anything (AMA) sessions with IBM leadership
- Capstone from 3 domains and 25+ projects
- Exclusive hackathons conducted by IBM
- Lifetime access to self-paced learning content
- Program crafted to initiate your journey as a Data Scientist
- Integrated labs for hands-on learning experience

✅ Skills Covered
- Generative AI
- Prompt Engineering
- ChatGPT
- Exploratory Data Analysis
- Descriptive Statistics
- Inferential Statistics
- Explainable AI
- Conversational AI
- Large Language Models
- Model Building and Finetuning
- Ensemble Learning
- Data Visualization
- Database Management

Learn more at: https://www.simplilearn.com/data-science-course?utm_campaign=RForDSFullCourseDec172020&utm_medium=Description&utm_source=youtube

wisdom
4 Views · 5 months ago

🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-science-course?utm_campaign=QjqJS0yb8YM&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Microsoft Azure - Data Analyst Course - https://www.simplilearn.com/in/data-analyst-course?utm_campaign=QjqJS0yb8YM&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Microsoft Azure - Data Analyst Course - https://www.simplilearn.com/in/data-analyst-course?utm_campaign=QjqJS0yb8YM&utm_medium=DescriptionFirstFold&utm_source=Youtube

This Data Science Full Course 2026 by Simplilearn provides a structured learning path for mastering data science concepts. It starts with an introduction to data science, followed by a roadmap to becoming a data scientist. Learners will explore deep learning, probability, and statistics, which form the foundation of data science. The course then introduces Large Language Models (LLMs), benchmarking techniques, and the key differences between AI, ML, and DL. It also covers AI bias, OpenAI ChatGPT, and Generative AI tools for job interviews. Practical aspects are included with beginner-friendly machine learning projects and an overview of Mistral AI. Finally, the course concludes with data science interview questions, ensuring learners are well-prepared for real-world applications and job opportunities.

Following are the topics covered in Data Science Full Course 2026:

00:00:00 - Introduction to Data Science Full Course
00:00:00 - Introduction to Data Science Full Course 2026
00:04:21 - What is Data Science
00:10:31 - Data science course unboxing
00:19:43 - Roadmap to Data Science
01:06:02 - Probability and Statistics
06:57:34 - Data Science basics
06:58:58 - Introduction to LLM
08:07:47 - RAG for Beginners
11:24:46 - Machine Learning Basics
- Data Science Interview Questions

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Data Science tutorial videos: https://www.youtube.com/watch?v=X3paOmcrTjQ&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6

#datascience #datasciencecourse #datascienceroadmap #datascientist #datascienceforbeginners #datasciencetools #simplilearn #2026

✅ About Post Graduate Program In Data Science:
This in-depth Data Science program is designed for working professionals, and covers job-critical topics like R, Python programming, Machine Learning techniques, NLP notions, and Data Visualization with Tableau, using an active learning model that includes live sessions from global professionals, practical labs, IBM Hackathons, and corporate ready projects

Key Features


✅ Core curriculum delivered in live online classes by industry experts
✅ Industry-recognized IBM certificates for IBM courses
✅ Engage in live online masterclasses led by Industry Expert, staff, and IBM experts
✅ Exclusive hackathons and Ask Me Anything (AMA) sessions by IBM
✅ Gain exposure to ChatGPT, Gemini, Keras, TensorFlow and other prominent tools
✅ Interactive sessions on the latest AI trends, such as GenAI, prompt engineering, LLMs, and more
✅ 3 capstones and 25+ hands-on projects from various industry domains
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies

Skills Covered
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Model Building and Finetuning
✅ Supervised and Unsupervised Learning
✅ Ensemble Learning
✅ Deep Learning
✅ Data Visualization
✅ Generative AI
✅ Prompt Engineering
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✅ Computer Vision
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Learning Path
✅ Program Induction
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✅ Python for Data Science (IBM)
✅ Applied Data Science with Python
✅ Machine Learning
✅ Deep Learning Specialization

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wisdom
3 Views · 5 months ago

Want a career in Data Science? Start here → https://ibm.biz/BdK65F
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Data Science is the convergence of computer science, mathematics, and business expertise and helps entrepreneurs predict, diagnose, and solve their problems. Luv Aggarwal, a Data Solution Engineer at IBM, goes through the basics and explains how the discipline deploys data mining, data cleaning, machine learning and a variety of advanced analytics to yield actionable insights that will provide a roadmap for growth.

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wisdom
4 Views · 5 months ago

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Below topics are explained in this Python for Data Science video:
00:00:00 Data Science Basics
00:05:38 Data Science libraries
00:51:05 Mathematics for Data Science
03:06:55 Data Science algorithms using python
06:24:35 Regularization, PCA, Cost Functions
10:47:23 Who is a Data Scientist

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Data Science tutorial videos: https://www.youtube.com/watch?v=X3paOmcrTjQ&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6

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➡️ About Data Science Course in collaboration with IBM

This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

Key Features
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Masterclasses from IBM experts
✅ Dedicated live sessions by faculty of industry experts
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✅ Ask-Me-Anything (AMA) sessions with IBM leadership
✅ Capstone from 3 domains and 25+ projects
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✅ Lifetime access to self-paced learning content
✅ Program crafted to initiate your journey as a Data Scientist
✅ Integrated labs for hands-on learning experience

Skills Covered
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Explainable AI
✅ Conversational AI
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wisdom
2 Views · 5 months ago

🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-science-course?utm_campaign=SJuR41tlE9k&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Microsoft Azure - Data Analyst Course - https://www.simplilearn.com/in/data-analyst-course?utm_campaign=SJuR41tlE9k&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Microsoft Azure - Data Analyst Course - https://www.simplilearn.com/in/data-analyst-course?utm_campaign=SJuR41tlE9k&utm_medium=DescriptionFirstFold&utm_source=Youtube
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Data Science Full Course for Beginners by simplilearn is curated in collaboration with real-time industry experts. This Data Science Tutorial will help you learn data science in 12 hours. The data science course will cover the major data science concepts like Artificial Intelligence, Machine Learning, Deep Learning, Supervised Learning, Unsupervised Learning, Reinforcement learning and much more. this full course covers the following

00:00:00 Data Science Full Course
00:03:24 Introduction to Data Science
01:00:16 Data Analyst vs Data Scientist vs Data Engineer
01:07:49 Data Science Life Cycle
01:24:14 Statistic for Data Science
01:44:32 Types of Distribution in Statistics
02:09:17 Bayes Theorem
02:14:18 Introduction to Artificial Intelligence
02:18:07 Introduction to Machine Learning
02:26:49 Types of Machine Learning
02:44:14 Supervised Vs Unsupervised vs Reinforced Learning
03:21:14 Regression Analysis
03:27:35 Linear Regression
04:02:20 Logistic Regression
04:38:50 Linear vs Logistic Regression
05:04:26 Classification of Machine Learning
05:47:45 Decision Tree in Machine Learning
06:39:31 Random Forest Algorithm
07:24:11 K Means Clustering Algorithm
08:14:10 Naive Bayes Classifier
08:57:28 What is Deep Learning?
09:35:04 Natural Language Processing
09:39:59 Python Libraries
09:55:56 Data Visualization - Tableau
10:42:34 Data Science Engineer Resume
10:47:30 Data Science Interview Questions

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Data Science tutorial videos: https://www.youtube.com/watch?v=X3paOmcrTjQ&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6

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➡️ About Data Science Course in collaboration with IBM

This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

Key Features
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Masterclasses from IBM experts
✅ Dedicated live sessions by faculty of industry experts
✅ Industry-recognized Data Scientist Master’s certificate from Simplilearn
✅ Industry-recognized IBM certifications for IBM courses
✅ Ask-Me-Anything (AMA) sessions with IBM leadership
✅ Capstone from 3 domains and 25+ projects
✅ Exclusive hackathons conducted by IBM
✅ Lifetime access to self-paced learning content
✅ Program crafted to initiate your journey as a Data Scientist
✅ Integrated labs for hands-on learning experience

Skills Covered
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Explainable AI
✅ Conversational AI
✅ Large Language Models
✅ Model Building and Finetuning
✅ Ensemble Learning
✅ Data Visualization
✅ Database Management

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wisdom
6 Views · 5 months ago

Get started with data science using Python! This course covers essential tools like Pandas and NumPy, plus data visualization, cleaning, and machine learning techniques. Perfect for beginners, you'll gain the skills to analyze and interpret data effectively.

YouTube Channel: https://www.youtube.com/@ThePyCoach
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⌨️ (0:27:23) Python Basics
⌨️ (1:41:41) Introduction to Pandas and Numpy
⌨️ (3:26:15) Project #1 - Web Scraping with Pandas
⌨️ (4:05:36) Filtering Data
⌨️ (5:34:46) Data Extraction
⌨️ (7:31:57) Reshaping and Pivoting Dataframes
⌨️ (7:50:59) Project #2: Making Data Visualizations
⌨️ (8:56:39) GroupBy and Aggregate Function
⌨️ (10:07:41) Merging and Concatenating Dataframes
⌨️ (11:49:12) Regular Expressions
⌨️ (12:45:45) Project #3: Data Cleaning with Pandas
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wisdom
5 Views · 5 months ago

🔵 Intellipaat Data Science course: https://intellipaat.com/data-s....cientist-course-trai
In this video on the Data Science course, you will learn what is Data Science, Types of Data Analytics, Life Cycle of Data Science, Data Visualisation, How to Create and Test a Model, Statistics for Data Science, and Probability, R programming, Machine learning, Numpy, Hands-on demo on Book Recommendation System, Skills Required to Become a Data Scientist, Trends in Data Science Science, Data Science vs Data Analytics, Data Science Interview Questions.
This is a must-watch session for everyone who wishes to learn data science and make a career in it.

#DataScienceCourse #DataScienceFullCourse #DataScientistForBeginners #DataScienceTutorialForBeginners #DataScientistCourse #DataScience #Intellipaat
00:00 - Introduction
10:15 - How machine learning works?
16:40 - Data
21:15 - Need of data science
49:39 - What is data science?
55:08 - Types of data analytics
01:01:33 - Life cycle of data science
01:22:37 - Data science process
01:29:58 - Data Cleaning
01:30:40 - Data Visualization
01:34:33 - Creating a model
01:51:02 - Converting data into useful information
02:02:02 - Descriptive Statistics
02:25:51 - Basic definitions
02:40:31 - What is probability?
02:59:45 - Variables in R
03:29:01 - Data types in R
03:56:33 - Objects in R
04:35:03 - Quiz
04:46:03 - Hands-on
05:08:01 - Dream Job
05:37:20 - Machine learning types
05:53:50 - What is regression?
06:03:00 - Types of regression
06:18:36 - Understanding linear regression
06:31:24 - Linear regression(Recap)
06:35:04 - What is logistic regression?
06:57:58 - What is classification?
07:08:58 - What is scikit learn?
07:16:18 - Steps in building a classifier
07:27:18 - What is NumPy?
07:38:17 - Initializing Numpy Array
07:54:49 - Find the data type of the array
08:19:32 - Numpy indexing and scaling
08:35:06 - Characteristics of Scipy
09:04:21 - Tasks to be performed
🔵 Read complete Data Science tutorial here: https://intellipaat.com/blog/t....utorial/data-science

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wisdom
2 Views · 5 months ago

This Data Science Full Course 2025 by Intellipaat is a complete step-by-step learning path for anyone aspiring to build a successful career in data science. The course begins with the fundamentals, explaining what data science is, the roles of data engineers, data scientists, and data analysts, and a clear roadmap to get started. You will then move into Python for Data Science, mastering Pandas for data manipulation and Matplotlib for data visualization. The training dives into exploratory data analysis (EDA) and introduces machine learning concepts, including supervised and unsupervised learning techniques. Core algorithms such as linear regression, logistic regression, support vector machines (SVM), decision trees, and clustering with K-Means are explained with practical examples.

A full project walkthrough gives you hands-on exposure to applying data science in real-world scenarios. To prepare you for career success, the course also covers frequently asked interview questions and includes an MCP server tutorial. Whether you’re a beginner or upskilling for 2025, this free data science tutorial equips you with essential tools, techniques, and industry insights.

Below are the topics covered in Data Science Full Course 2025:
00:00:00 - Introduction to Data Science Full Course 2025
00:01:31 – What is Data Science?
00:06:23 – Data Engineer vs Data Scientist vs Data Analyst
00:15:40 - Roadmap for Data Science
00:24:40 – Python for Data Science
00:27:20 – Pandas for Data Science
01:33:23 – Data Visualization with Matplotlib
02:23:47 – Exploratory Data Analysis (EDA)
03:02:45 – Machine Learning Types
03:14:11 – Linear Regression
06:31:15 – Logistic Regression
07:11:41 – Support Vector Machine (SVM)
07:13:23 – Decision Tree
07:15:53 – Clustering (K-Means)
08:11:10 – Data Science Project Walkthrough
09:31:45 – Data Science Interview Questions
10:37:00 – MCP Server Tutorial

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wisdom
29 Views · 5 months ago

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In this video, we will cover *Data Science Full Course 2026*, which contains topics like introduction to data science, data science life cycle, applications of data science, data science interview questions, and how to create a resume if you are an aspirant data scientist.

00:00 Data Science Full Course 2026
01:20 Data Science in 2 minutes
03:43 How to become a Data Scientist in 2021
05:20 AI vs. ML vs. DL vs. Data Science - Difference Explained
15:00 What is Data Science?
15:10 What does Data Scientist do?
31:08 What is Model Building?
56:29 Data Analyst vs. Data Engineer vs. Data Scientist in 2022
1:20:06 Introduction to statistics
1:32:11 Data Science with SAS
1:39:56 Types of Distribution in Statistics
1:58:38 Binomial Distribution
2:01:04 What is Poisson Distribution?
2:03:55 Bayes Theorem
2:06:45 What is Artificial Intelligence?
2:40:46 Introduction to Machine Learning
3:28:51 What is Machine Learning?
3:31:08 Machine Learning Algorithm
5:08:18 Classification in Machine Learning
6:42:12 Types of Machine Learning
7:44:32 K-Means clustering algorithm
8:59:20 What is Deep Learning?
9:08:10 What is a neural network?
9:40:02 Types of Python Libraries for Data Science
10:42:11 Data Science Engineer Resume
10:48:05 Data Science Interview Questions

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Data Science tutorial videos: https://www.youtube.com/watch?v=X3paOmcrTjQ&list=PLEiEAq2VkUUIEQ7ENKU5Gv0HpRDtOphC6

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➡️ About Data Science Course in collaboration with IBM

This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

Key Features
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Masterclasses from IBM experts
✅ Dedicated live sessions by faculty of industry experts
✅ Industry-recognized Data Scientist Master’s certificate from Simplilearn
✅ Industry-recognized IBM certifications for IBM courses
✅ Ask-Me-Anything (AMA) sessions with IBM leadership
✅ Capstone from 3 domains and 25+ projects
✅ Exclusive hackathons conducted by IBM
✅ Lifetime access to self-paced learning content
✅ Program crafted to initiate your journey as a Data Scientist
✅ Integrated labs for hands-on learning experience

Skills Covered
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Explainable AI
✅ Conversational AI
✅ Large Language Models
✅ Model Building and Finetuning
✅ Ensemble Learning
✅ Data Visualization
✅ Database Management

👉 Learn More At: https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=DataScienceFullCourse2023-6USOEP1d9HA&utm_medium=Description&utm_source=youtube

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wisdom
5 Views · 5 months ago

🔥 Data Science Course (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/masters....-program/data-scient
This Edureka Data Science Full Course video will help you understand and learn Data Science Algorithms in detail. This Data Science Tutorial is ideal for both beginners as well as professionals who want to master Data Science Algorithms. Below are the topics covered in this Data Science for Beginners course:
00:00 Data Science Full Course Agenda
2:44 Introduction to Data Science
9:55 Data Analysis at Walmart
13:20 What is Data Science?
14:39 Who is a Data Scientist?
16:50 Data Science Skill Set
21:51 Data Science Job Roles
26:58 Data Life Cycle
30:25 Statistics & Probability
34:31 Categories of Data
34:50 Qualitative Data
36:09 Quantitative Data
39:11 What is Statistics?
41:32 Basic Terminologies in Statistics
42:50 Sampling Techniques
45:31 Random Sampling
46:20 Systematic Sampling
46:50 Stratified Sampling
47:54 Types of Statistics
50:38 Descriptive Statistics
55:52 Measures of Spread
55:56 Range
56:44 Inter Quartile Range
58:58 Variance
59:36 Standard Deviation
1:14:25 Confusion Matrix
1:19:16 Probability
1:24:14 What is Probability?
1:27:13 Types of Events
1:27:58 Probability Distribution
1:28:15 Probability Density Function
1:30:02 Normal Distribution
1:30:51 Standard Deviation & Curve
1:31:19 Central Limit Theorem
1:33:12 Types of Probability
1:33:34 Marginal Probability
1:34:06 Joint Probability
1:34:58 Conditional Probability
1:35:56 Use-Case
1:39:46 Bayes Theorem
1:45:44 Inferential Statistics
1:56:40 Hypothesis Testing
2:00:34 Basics of Machine Learning
2:01:41 Need for Machine Learning
2:07:03 What is Machine Learning?
2:09:21 Machine Learning Definitions
2:11:48 Machine Learning Process
2:18:31 Supervised Learning Algorithm
2:19:54 What is Regression?
2:21:23 Linear vs Logistic Regression
2:33:51 Linear Regression
2:25:27 Where is Linear Regression used?
2:27:11 Understanding Linear Regression
2:37:00 What is R-Square?
2:46:35 Logistic Regression
2:51:22 Logistic Regression Curve
2:53:02 Logistic Regression Equation
2:56:21 Logistic Regression Use-Cases
2:58:23 Demo
3:00:57 Implement Logistic Regression
3:02:33 Import Libraries
3:05:28 Analyzing Data
3:11:52 Data Wrangling
3:23:54 Train & Test Data
3:20:44 Implement Logistic Regression
3:31:04 SUV Data Analysis
3:38:44 Decision Trees
3:39:50 What is Classification?
3:42:27 Types of Classification
3:42:27 Decision Tree
3:43:51 Random Forest
3:45:06 Naive Bayes
3:47:12 KNN
3:49:02 What is Decision Tree?
3:55:15 Decision Tree Terminologies
3:56:51 CART Algorithm
3:58:50 Entropy
4:00:15 What is Entropy?
4:23:52 Random Forest
4:27:29 Types of Classifier
4:31:17 Why Random Forest?
4:39:14 What is Random Forest?
4:51:26 How Random Forest Works?
4:51:36 Random Forest Algorithm
5:04:23 K Nearest Neighbour
5:05:33 What is KNN Algorithm?
5:08:50 KNN Algorithm Working
5:24:30 What is Naive Bayes?
5:25:13 Bayes Theorem
5:27:48 Bayes Theorem Proof
5:29:43 Naive Bayes Working
5:39:06 Types of Naive Bayes
5:53:37 Support Vector Machine
5:57:40 What is SVM?
5:59:46 How does SVM work?
6:03:00 Introduction to Non-Linear SVM
6:04:48 SVM Example
6:06:12 Unsupervised Learning Algorithms - KMeans
6:06:18 What is Unsupervised Learning?
6:06:45 Unsupervised Learning: Process Flow
6:07:17 What is Clustering?
6:09:15 Types of Clustering
6:10:15 K-Means Clustering
6:10:40 K-Means Algorithm Working
6:16:17 K-Means Algorithm
6:19:16 Fuzzy C-Means Clustering
6:21:22 Hierarchical Clustering
6:22:53 Association Clustering
6:24:57 Association Rule Mining
6:30:35 Apriori Algorithm
6:37:45 Apriori Demo
6:40:49 What is Reinforcement Learning?
6:42:48 Reinforcement Learning Process
6:51:10 Markov Decision Process
6:54:53 Understanding Q - Learning
7:13:12 Q-Learning Demo
7:25:34 The Bellman Equation
7:48:39 What is Deep Learning?
7:52:53 Why we need Artificial Neuron?
7:54:33 Perceptron Learning Algorithm
7:57:57 Activation Function
8:03:14 Single Layer Perceptron
8:04:04 What is Tensorflow?
8:07:25 Demo
8:21:03 What is a Computational Graph?
8:49:18 Limitations of Single Layer Perceptron
8:50:08 Multi-Layer Perceptron
8:51:24 What is Backpropagation?
8:52:26 Backpropagation Learning Algorithm
8:59:31 Multi-layer Perceptron Demo
9:01:23 Data Science Interview Questions

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wisdom
4 Views · 5 months ago

This free Data Science Full Course 2026 is a complete learning path that takes you from basic concepts of Data Science to advanced data science skills in a simple and structured way. It starts by explaining what data science is, key roles, the data science life cycle, and the data science roadmap for 2026. You’ll learn how mathematics, statistics, and probability are used in real business and analytical problems. The course covers hands-on tools like Excel, Python, NumPy, and Pandas for data analysis. It also introduces machine learning, deep learning, and NLP concepts in an easy-to-understand manner. The course ends with real-world projects and interview questions to help you prepare for data science roles confidently.

Following are the topics covered in this 24 Hour Data Science Full Course 2025 By Simplilearn:

00:00:00 - Introduction to Data Science
00:05:58 - What Is Data Science?
00:08:07 - Data Scientist Vs Data Analyst In 2026
00:19:22 - Data Science Life Cycle
00:36:27 - Use Cases Of Mathematics In Data Science
00:49:57 - Statistical Analysis And Business Applications
01:13:27 - Data Science Roadmap For 2026
01:41:58 - Excel for Data Analytics 2026
00:02:51 - Data science pipeline and deployment demo
00:13:52 - NumPy fundamentals and array basics
00:46:07 - NumPy operations and special arrays
01:16:16 - Random numbers, arange/reshape, broadcasting
01:41:50 - Linear algebra and NumPy utilities
02:05:39 - Pandas: Series and DataFrame basics
02:34:10 - Reading data and practical I/O
03:01:12 - DataFrame EDA and exploration
03:25:26 - Indexing, feature engineering, sorting, cleaning
04:26:15 - GroupBy, pivot tables, and filtering
05:01:13 - Concatenation and merges
05:29:28 - Matplotlib fundamentals and chart choices
06:19:47 - Seaborn and Plotly visualizations
08:21:40 - Statistics foundations: variables and central tendency
09:15:06 - Dispersion, scaling, distributions, correlation, probability
14:47:49 - Numpy Tutorial for Data Science
17:53:24 - Pandas For Data Science
18:32:23 - Statistics For Data Science
18:55:10 - Types Of Distribution In Statistics
19:19:05 - Chi-Square Distribution
19:24:08 - Binomial Distribution In Probability
19:29:08 - Poisson Distribution In Probability And Statistics
19:32:02 - Inferential Statistics
19:37:34 - R Squared Error
19:54:51 - Mean Squared Error
19:59:39 - Probability And Binomial Distribution
20:26:26 - Probability Density Function With Example
20:50:17 - Cumulative Distribution Function Tutorial With Example
21:21:02 - Conditional Probability
21:27:25 - Bayes Theorem
21:32:09 - Supervised Vs Unsupervised vs Reinforced Learning
22:08:26 - Natural Language Processing
22:16:21 - Deep Learning With Python
22:29:43 - Top 10 Data Science Projects For 2026
23:19:29 - Data Science Interview Questions

Related Videos:
✅ 1. Python Full Course 2026 - https://youtu.be/lRfjnTYJnJ8
✅ 2. Python RAG Tutorial 2026 - https://youtu.be/WQTaM7tBlvc
✅ 3. Data Science Roadmap For 2026 - https://youtu.be/ZpINzjm_4Ks
✅ 4. FREE Data Scientist Course - https://youtu.be/_NsDrON32ww
✅ 5. Data Science Interview Questions - https://youtu.be/vtCwJKUhizg

🔥Data Scientist Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-science-course?utm_campaign=QISvmiwOIYI&utm_medium=Description&utm_source=Youtube
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🔥Microsoft Azure - Data Analyst Course - https://www.simplilearn.com/in/data-analyst-course?utm_campaign=QISvmiwOIYI&utm_medium=Description&utm_source=Youtube

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🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

wisdom
4 Views · 5 months ago

Go from zero to a data scientist in 12 months. This step-by-step roadmap covers the essential skills you must learn to become a data scientist in 2024.

👉 Download the FREE roadmap PDF here: https://mosh.link/data-science-roadmap

✋ Stay connected

- Complete courses: https://codewithmosh.com
- Twitter: https://twitter.com/moshhamedani
- Facebook: https://www.facebook.com/programmingwithmosh/
- Instagram: https://www.instagram.com/codewithmosh.official/
- LinkedIn: https://www.linkedin.com/school/codewithmosh/

📚 Tutorials

https://youtu.be/_uQrJ0TkZlc?si=ZhlCrQs1SkaPNVa8
https://youtu.be/8JJ101D3knE?si=OGTuS35LQqSunuhh
https://youtu.be/BBpAmxU_NQo?si=dm-ZCPxVBYWS1Qhn
https://youtu.be/7S_tz1z_5bA?si=QL7s_M2Ao90RDwG8

📖 Chapters

00:00 - Introduction
00:24 - Programming Languages
00:45 - Version Control
01:05 - Data Structures & Algorithms
01:25 - SQL
02:08 - Mathematics & Statistics
02:30 - Data Handling and Visualization
03:19 - Machine Learning
04:01 - Deep Learning
04:35 - Specialization
05:24 - Big Data

#datascience #machinelearning #ai #coding #programming

wisdom
5 Views · 5 months ago

🔥 Data Science Master Program (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/masters....-program/data-scient
This Edureka video on "Data Science Full Course" provides an end to end, detailed and comprehensive knowledge on Data Science. This Data Science video will start with basics of Statistics and Probability and then moves to Machine Learning and Finally ends the journey with Deep Learning and AI. For Data-sets and Codes discussed in this video, drop a comment. This Data Science tutorial will be covering the following topics:

1:23 Evolution of Data
2:14 What is Data Science?
3:02 Data Science Careers
3:36 Who is a Data Analyst
4:20 Who is a Data Scientist
5:14 Who is a Machine Learning Engineer
5:44 Data Scientist Salary Trends
6:37 Data Scientist Road Map
9:06 Data Analyst Skills
10:41 Data Scientist Skills
11:47 Machine Learning Engineer Skills
12:53 Data Science Peripherals
13:17 What is Data ?
15:23 Variables & Research
17:28 Population & Sampling
20:18 Measures of Center
20:29 Measures of Spread
21:28 Skewness
21:52 Confusion Matrix
22:56 Probability
25:12 What is Machine Learning?
25:45 Features of Machine Learning
26:22 How Machine Learning works?
27:11 Applications of Machine Learning
34:57 Machine Learning Market Trends
36:05 Machine Learning Life Cycle
39:01 Important Python Libraries
40:56 Types of Machine Learning
41:07 Supervised Learning
42:27 Unsupervised Learning
43:27 Reinforcement Learning
46:27 Supervised Learning Algorithms
48:01 Linear Regression
58:12 What is Logistic Regression?
1:01:22 What is Decision Tree?
1:11:10 What is Random Forest?
1:18:48 What is Naïve Bayes?
1:30:51 Unsupervised Learning Algorithms
1:31:55 What is Clustering?
1:34:02 Types of Clustering
1:35:00 What is K-Means Clustering?
1:47:31 Market Basket Analysis
1:48:35 Association Rule Mining
1:51:22 Apriori Algorithm
2:00:46 Reinforcement Learning Algorithms
2:03:22 Reward Maximization
2:06:35 Markov Decision Process
2:08:50 Q-Learning
2:18:19 Relationship Between AI and ML and DL
2:20:10 Limitations of Machine Learning
2:21:19 What is Deep Learning ?
2:22:04 Applications of Deep Learning
2:23:35 How Neuron Works?
2:24:17 Perceptron
2:25:12 Waits and Bias
2:25:36 Activation Functions
2:29:56 Perceptron Example
2:31:48 What is TensorFlow?
2:37:05 Perceptron Problems
2:38:15 Deep Neural Network
2:39:35 Training Network Weights
2:41:04 MNIST Data set
2:41:19 Creating a Neural Network
2:50:30 Data Science Course Masters Program

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(450+ Hrs || 9 Months || 20+ Projects & 100+ Case studies)

#edureka #DataScienceEdureka #whatisdatascience #Datasciencetutorial #Datasciencecourse #datascience


- - - - - - - - - - - - - -

About the Master's Program

This program follows a set structure with 6 core courses and 8 electives spread across 26 weeks. It makes you an expert in key technologies related to Data Science. At the end of each core course, you will be working on a real-time project to gain hands on expertise. By the end of the program you will be ready for seasoned Data Science job roles.

- - - - - - - - - - - - - -

Topics Covered in the curriculum:

Topics covered but not limited to will be : Machine Learning, K-Means Clustering, Decision Trees, Data Mining, Python Libraries, Statistics, Scala, Spark Streaming, RDDs, MLlib, Spark SQL, Random Forest, Naïve Bayes, Time Series, Text Mining, Web Scraping, PySpark, Python Scripting, Neural Networks, Keras, TFlearn, SoftMax, Autoencoder, Restricted Boltzmann Machine, LOD Expressions, Tableau Desktop, Tableau Public, Data Visualization, Integration with R, Probability, Bayesian Inference, Regression Modelling etc.

- - - - - - - - - - - - - -

For more information, Please write back to us at sales@edureka.in or call us at:
IND: 9606058406 / US: 18338555775 (toll free)

wisdom
4 Views · 5 months ago

Learn Data Science is this full tutorial course for absolute beginners. Data science is considered the "sexiest job of the 21st century." You'll learn the important elements of data science. You'll be introduced to the principles, practices, and tools that make data science the powerful medium for critical insight in business and research. You'll have a solid foundation for future learning and applications in your work. With data science, you can do what you want to do, and do it better. This course covers the foundations of data science, data sourcing, coding, mathematics, and statistics.

💻 Course created by Barton Poulson from datalab.cc.
🔗 Check out the datalab.cc YouTube channel: https://www.youtube.com/user/datalabcc
🔗 Watch more free data science courses at http://datalab.cc/

❤️ Try interactive Algorithms courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Algorithms (Made possible by a grant from our friends at Scrimba)

⭐️ Course Contents ⭐️
⌨️ Part 1: Data Science: An Introduction: Foundations of Data Science
- Welcome (1.1)
- Demand for Data Science (2.1)
- The Data Science Venn Diagram (2.2)
- The Data Science Pathway (2.3)
- Roles in Data Science (2.4)
- Teams in Data Science (2.5)
- Big Data (3.1)
- Coding (3.2)
- Statistics (3.3)
- Business Intelligence (3.4)
- Do No Harm (4.1)
- Methods Overview (5.1)
- Sourcing Overview (5.2)
- Coding Overview (5.3)
- Math Overview (5.4)
- Statistics Overview (5.5)
- Machine Learning Overview (5.6)
- Interpretability (6.1)
- Actionable Insights (6.2)
- Presentation Graphics (6.3)
- Reproducible Research (6.4)
- Next Steps (7.1)

⌨️ Part 2: Data Sourcing: Foundations of Data Science (1:39:46)
- Welcome (1.1)
- Metrics (2.1)
- Accuracy (2.2)
- Social Context of Measurement (2.3)
- Existing Data (3.1)
- APIs (3.2)
- Scraping (3.3)
- New Data (4.1)
- Interviews (4.2)
- Surveys (4.3)
- Card Sorting (4.4)
- Lab Experiments (4.5)
- A/B Testing (4.6)
- Next Steps (5.1)

⌨️ Part 3: Coding (2:32:42)
- Welcome (1.1)
- Spreadsheets (2.1)
- Tableau Public (2.2)
- SPSS (2.3)
- JASP (2.4)
- Other Software (2.5)
- HTML (3.1)
- XML (3.2)
- JSON (3.3)
- R (4.1)
- Python (4.2)
- SQL (4.3)
- C, C++, & Java (4.4)
- Bash (4.5)
- Regex (5.1)
- Next Steps (6.1)

⌨️ Part 4: Mathematics (4:01:09)
- Welcome (1.1)
- Elementary Algebra (2.1)
- Linear Algebra (2.2)
- Systems of Linear Equations (2.3)
- Calculus (2.4)
- Calculus & Optimization (2.5)
- Big O (3.1)
- Probability (3.2)

⌨️ Part 5: Statistics (4:44:03)
- Welcome (1.1)
- Exploration Overview (2.1)
- Exploratory Graphics (2.2)
- Exploratory Statistics (2.3)
- Descriptive Statistics (2.4)
- Inferential Statistics (3.1)
- Hypothesis Testing (3.2)
- Estimation (3.3)
- Estimators (4.1)
- Measures of Fit (4.2)
- Feature Selection (4.3)
- Problems in Modeling (4.4)
- Model Validation (4.5)
- DIY (4.6)
- Next Step (5.1)

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://www.freecodecamp.org/news

wisdom
5 Views · 5 months ago

𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐌𝐚𝐬𝐭𝐞𝐫𝐬 𝐩𝐫𝐨𝐠𝐫𝐚𝐦: https://www.edureka.co/masters....-program/data-scient
🔥Data Science with Python Certification Course: https://www.edureka.co/data-sc....ience-python-certifi
🔥Integrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-ce....rtification-programs
This Edureka Data Science Full Course video will help you understand and learn Data Science Algorithms in detail. This Data Science Tutorial is ideal for both beginners as well as professionals who want to master Data Science Algorithms.
00:00:00 Introduction
00:01:31 What is Data Science?
00:03:26 Who is a Data Scientist?
00:35:36 Top 10 Reasons to Learn Data Science
00:40:12 Data Science Basics
01:33:28 Data Life Cycle
01:37:03 Statistics and Probability
03:09:33 Hypothesis Testing Statistics
04:02:26 What is Machine Learning?
04:19:21 Linear Regression
04:45:59 Logistic Regression
05:34:29 Decision Tree Algorithm
06:19:50 Random Forest
06:47:02 KNN Algorithm
07:19:27 Naive Bayes Classifier
07:39:45 Support Vector Machine
08:05:14 K- Means Clustering Algorithm
08:25:22 Apriori Algorithm Explained
08:55:04 Reinforcement Learning
09:16:30 What is Deep Learning?
09:40:24 Introduction to Keras
10:11:51 Data Science Roadmap
10:21:05 Data Science vs Data Analytics
10:31:05 Data Science for Non Programmers
10:59:00 Data Science Interview Questions

🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py

📝Feel free to share your comments below.📝

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🔵 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

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Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: +18885487823 (toll-free) for more information.

wisdom
4 Views · 6 months ago

In this video, you’ll get a complete introduction to data analytics, starting from the basics and gradually moving toward practical, job-ready skills. We begin with Python fundamentals and then cover powerful libraries like NumPy and Pandas to help you understand how real-world data is handled and processed efficiently.

As the video progresses, you’ll learn how to visualize data using Matplotlib and Seaborn, followed by essential EDA techniques to uncover patterns and insights. We also explore Excel for analysis and SQL for working with databases, giving you a strong foundation in data analytics tools used across industries.

Towards the end, the focus shifts to Power BI for interactive dashboards and real-world project ideas that help you apply what you’ve learned. Whether you’re a beginner or planning to upskill, this video offers a structured learning path in data analytics to help you build confidence and practical experience.

​​Access the study material from the given link- https://forms.gle/6R1BFmEDfJTXrekf6

📖 Below are the concepts covered in the video on “Data Analytics Full Course”:
00:00:00 – Introduction to Data Analytics Course
00:01:25 – Python Basics
02:16:00– Numpy Arrays
02:28:03– Pandas Operations
03:34:08 – Matplotlib Visualisations
03:43:04 – Seaborn Styling
03:54:33 – EDA Techniques
03:54:33 – Excel For Data Analytics
05:11:37 – SQL
08:08:55 – Power BI
09:58:36 – Data Analytics Project Ideas

#DataAnalytics #DataScience #AnalyticsTrends #BigData #BusinessIntelligence

🔥Enroll for Data Analytics: https://intellipaat.com/data-a....nalytics-master-trai

➡️ About the Course
The Data Analytics Master Training Course by Intellipaat is an online program designed to help learners build strong data analytics skills from basics to advanced levels. It covers key tools like Python, SQL, Excel, Power BI, and PySpark, along with essential concepts such as data cleaning, EDA, statistics, and data visualization. The course includes real-world projects and case studies, making it suitable for beginners as well as professionals looking to upskill or transition into analytics roles.

✅ Key Features
👉🏼50+ live sessions over ~7 months with industry experts and IIT faculty.
👉🏼218+ hours of self-paced video tutorials.
👉🏼200+ hours of hands-on projects and exercises.
👉🏼One-on-one mentorship and industry guidance.
👉🏼LinkedIn profile review and resume assistance.
👉🏼24×7 support and doubt resolution.
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wisdom
2 Views · 6 months ago

Top pick Data Analyst course: Datacamp Data Analyst with Python Career Track (https://datacamp.pxf.io/BnEVgB)

Get access to my top 10 data analyst certificates list: https://www.skool.com/9-5-to-dream-life

- How to actually learn Data Analysis?
- Which are the best Data Analyst certifications?
- How to become a Data Analyst?

This video will answer those questions.

💻 Course links:
1. Google Analytics Certificate: https://tinyurl.com/GA4certification
2. Microsoft Learning paths: https://tinyurl.com/microsoftlearningpaths
3. Datacamp Data Analyst Career Track: https://datacamp.pxf.io/BnEVgB
4. Tableau certified DA: https://tinyurl.com/TableauCertifiedDataAnalyst
5. EdX Harvard Data Scientist: https://tinyurl.com/HarvardxDataScience

Microsoft Power BI Data Analyst (Exam preparation + 50% discount):
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wisdom
3 Views · 6 months ago

🔥IIT Delhi - Data Analytics, Generative AI And Adaptive System - https://www.simplilearn.com/ihfc-iitd-data-analytics-genai-course?utm_campaign=WASHkhc1Dk4&utm_medium=DescriptionFirstFold&utm_source=Youtube
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The Data Analytics Full Course 2026 provides a structured learning path for aspiring and experienced data analysts, covering essential concepts, tools, and career strategies. It begins with an introduction to Data Analytics, a beginner-friendly tutorial, and a comparison between Data Science and Data Analytics. Career guidance sections include steps to become a data analyst in 2026 and the top 10 certifications to boost credibility. The course delves into technical skills such as Power BI and Tableau for data visualization, SQL and Python for data manipulation, and R programming for statistical computing. Learners also explore Exploratory Data Analysis (EDA) in Python, understand ETL (Extract, Transform, Load) processes, and leverage AI tools like ChatGPT for data analytics and automation. The course also includes advanced topics like data transformation, SQL Server tutorials, and Tableau calculations. Finally, a dedicated interview preparation section with common Data Analytics interview questions ensures learners are job-ready. By the end of this course, participants will have a solid understanding of data analytics methodologies, tools, and real-world applications, preparing them for data-driven careers.

Following are the topics covered in the Data Analyst Full Course 2026:

00:00:00 - Introduction to Data Analytics Full Course 2026
00:01:24 - What is Data Analytics
00:08:15 - How to become data analyst in 2026
00:11:56 - Steps Involved in Data Analytics
00:25:53 - Create Power BI Dashboard in minutes
01:11:08 - Who is a Data Analyst till R or Python
02:50:25 - Data Analysis with Python
03:39:26 - EDA with Python
03:55:47 - Data Transformation
05:04:43 - Power BI Tutorial
08:29:41 - Data Manipulation In R
08:29:51 - Data Analytics using AI
09:07:51 - Chatgpt and Excel with Data Analytics
09:38:26 - Tableau Calculations and filters
09:49:18 - Power BI with AI
09:51:22 - Data Science Vs Data Analyst
10:13:43 - Top 10 da certifications
11:02:49 - Data Analytics Interview Questions

✅ What is Data Analytics?

Data analytics is the process of analyzing data to extract insights and make conclusions. It's a multidisciplinary field that uses a variety of techniques, including math, statistics, and computer science. Data analytics can help businesses optimize performance, make more informed decisions, and maximize profit.

⏩ Check out the Data Analytics Playlist: link: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

#dataanalytics #dataanalyticsforbeginners #datanalysis #sql #powerbi #tableau #excel #python #simplilearn #2026

➡️ About Post Graduate Program In Data Analytics

This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

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✅ Post Graduate Program certificate and Alumni Association membership
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Skills Covered

✅ Data Analytics
✅ Statistical Analysis using Excel
✅ Data Analysis Python and R
✅ Data Visualization Tableau and Power BI
✅ Linear and logistic regression modules
✅ Clustering using kmeans
✅ Supervised Learning

👉 Learn More at: https://www.simplilearn.com/ihfc-iitd-data-analytics-genai-course?utm_campaign=WASHkhc1Dk4&utm_medium=Description&utm_source=youtube

wisdom
3 Views · 6 months ago

➡️ Enroll here: https://www.codewithharry.com/....courses/the-ultimate
➡️ International Students: https://buy.stripe.com/28E00lgXZ7Mk2kC1wd1gs08
➡️ International Students Alt link: https://codeharry.gumroad.com/l/da

➡️ Download Notes and CheatSheets: https://www.codewithharry.com/notes/
➡️ Udemy Python Course: https://goharry.in/python
➡️ Checkout Data Science The Ultimate Job Ready Data Science Course: https://www.codewithharry.com/....courses/the-ultimate
➡️ Data Science (International Students): https://buy.stripe.com/9B65kF3790jS2kCeiZ1gs04
➡️ Career Advice:
If you are into college and C/C++/Java is being taught, please continue with it. Here are my respective videos/playlists:
Learn C Programming: https://www.youtube.com/watch?v=aZb0iu4uGwA
Learn C++ Programming: https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Learn Java Programming: https://www.youtube.com/playli....st?list=PLu0W_9lII9a

But if you are not in college and want to learn programming, then I would suggest you to start with Python.

Also if you are a beginner and want to learn programming, start with Python. It is beginner-friendly and has a large community for support and a lot of jobs. If you're serious start with my Udemy course in English. Its updated + has a lot of projects. Here is the discounted link which will get you this course for less than ₹400-500. I request you to leave a review if you have enrolled:
Udemy Course: https://goharry.in/python

After you finish this course, you can start with Data Science. It is a very profitable field to get into and has a lot of job opportunities. You can learn Data Science through my "Ultimate Job Ready Data Science Course". It is a complete course that covers everything you need to know to get a job in Data Science. Here is the discounted link to the course that will get you this course for ₹2899:
Data Science Course: https://www.codewithharry.com/....courses/the-ultimate

If you are looking for free resources to learn Python, you can start with my Python Course on YouTube. It is a complete course that covers everything you need to know to become a Python developer. Its Free and you can access it here:
10 Hour Long Python Course (VS Code): https://www.youtube.com/watch?v=UrsmFxEIp5k
100 Days of Code Playlist that uses Replit: https://www.youtube.com/playli....st?list=PLu0W_9lII9a

If you want to learn web development, you can start with my Sigma Web Development Course. It is a complete course that covers everything you need to know to become a web developer. Its Free and you can access it here:
Web Development Course: https://www.youtube.com/playli....st?list=PLu0W_9lII9a

If you want to learn Data Structures and Algorithms, you can start with my Data Structures and Algorithms Course. It is a complete course that covers everything you need to know to become a good programmer. Its Free and you can access it here:
Data Structures and Algorithms Course: https://www.youtube.com/playli....st?list=PLu0W_9lII9a

➡️ Other Tutorials:
Wordpress[3.2 Hr]:https://www.youtube.com/watch?v=GlLRYml8mCY&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
Angular[2 Hr]:https://www.youtube.com/watch?v=0LhBvp8qpro&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7
GUI Development with Python: https://www.youtube.com/playli....st?list=PLu0W_9lII9a
Linux[1 Hr]:https://www.youtube.com/watch?v=_tCY-c-sPZc&list=PLu0W_9lII9ahKZ42vg2w9ERPmShYbYAB7

➡️ More Advise from Harry:
Many people say that in the AI era , programming is dead. But I don't think so. AI is a tool that can help you in your programming journey. But dont overuse it in the beginning. Try to learn basics first!
AI can help you write better code, debug your code, and even help you learn new programming languages. So don't be afraid of AI, embrace it and use it to your advantage. Talk to ChatGPT daily and you will realize how quickly you can learn new things and build software. What others think is a disadvantage will become your advantage.

➡️ Hosting
If you want to host a website on a VPS and get $200 in credits, use my DigitalOcean Link
Get Free 200$ DigitalOcean Credits here: https://m.do.co/c/2f2aa100b7ee

➡️ Follow Me On Social Media
► Website (Created Using Next.js): https://www.codewithharry.com
► Facebook: https://www.facebook.com/CodeWithHarry
► Instagram: https://www.instagram.com/CodeWithHarry/
► Twitter: https://twitter.com/CodeWithHarry
► English channel: https://www.youtube.com/channe....l/UC7btqG2Ww0_2LwuQx
Comment "#HarryBhai" if you read this 😉😉

wisdom
3 Views · 6 months ago

Excel Data Analysis Full Course Tutorial (7+ Hours)

Get Ad-Free Training by becoming a member today!
https://www.youtube.com/channe....l/UCqyBfm_H9ugGirk1u

Join Learnit Anytime for ad-free training, exams, certificates, and exclusive content:
https://www.learnitanytime.com

Exercise Files: https://tinyurl.com/53hddw2b

Who it's for: This course was built from the ground up for the advanced users and those in search of more than typical Excel tools and processes. Attendees of this course are recommended to have completed our standard Excel training, or at a minimum already be proficient in the skills referenced in that content.

What it is: Our Excel Data Analysis Full Course Tutorial is a compilation of our Excel Intro to Data Analysis, Excel Pivot Tables, Excel Copilot, and Excel Power User courses.

What you'll learn: At over 7 hours long, our Excel Data Analysis Full Course Tutorial introduces learners to the fundamentals of data analysis, before expanding on that to cover all the top advanced features Excel offers. From advanced functions, Pivot Tables, and Copilot integration to XLOOKUP, VBA, and macros, get the most out of Excel with this comprehensive mega-course.

Start 0:00
Introduction - Excel Intro to Data Analysis 0:09
List Design Basics 1:25
Inserting Tables for Analysis 4:59
Filtering Data in Tables 9:57
Using the Total Row 15:10
Conditional Formatting 18:57
IF Function 25:23
SUMIF and AVERAGEIF 31:52
SUMIFS 39:22
Inserting Recommended Charts 42:37
Adjusting Charts 48:24
Sparklines 50:41
Inserting Pivot Tables 57:25
Displaying Data as Count 1:05:18
Filtering Pivot Tables 1:09:06
Inserting Pivot Charts 1:17:47
Conclusion - Intro to Data Analysis 1:22:04
Introduction - Excel Pivot Tables 1:22:59
What are Pivot Tables? 1:24:05
Preparing Data for Analysis 1:29:39
Pivot Table Components 1:34:12
Building Pivot Tables to Show Different Values 1:40:30
Adding Fields to Pivot Tables 1:45:45
Using Built-In Filters 1:52:34
Filtering Data with Slicers 1:58:24
Displaying New Values from Data Sources 2:05:14
Inserting Pivot Charts 2:11:45
XLOOKUP 2:18:37
Joining Data Sets with XLOOKUP 2:26:48
Introduction to Advanced Pivot Tables 2:34:41
Inserting Pivot Tables from Tables 2:36:07
Calculated Fields 2:43:53
Using the Timeline Tool 2:49:43
Report Filter Pages 2:54:59
Pivot Table Layouts 3:01:42
Creating Pivot Table Designs 3:08:06
Adding Power Pivot Tabs to the Ribbon 3:15:32
Adding Tables to Power Pivot Data Model 3:18:15
Creating Table Relationships 3:23:17
Creating Columns with DAX Expressions 3:27:28
Displaying New Source Data in Power Pivot Tables 3:34:54
Data Mining with Flash Fill 3:37:45
Conclusion - Excel Pivot Tables 3:43:48
Introduction - Excel Copilot 3:44:39
What is Copilot? 3:45:04
Setting Up Copilot in Excel 3:49:05
Copilot Pane and Insights 3:51:54
Visualizing Data with Copilot 3:58:08
Sorting, Highlighting, and Filtering 4:06:16
Adding Formulas with Copilot 4:14:52
Asking Copilot Questions 4:20:37
Accessing Copilot Lab 4:29:44
Copilot Lab 4:30:58
Copilot with Excel Web Version 4:37:47
Conclusion - Excel Copilot 4:41:20
Introduction - Excel Power User 4:41:32
IF Function Basics 4:43:04
IF Functions with Calculations 4:49:20
Nesting AND with IF 4:53:43
Naming Ranges and COUNTIF 5:00:02
SUMIF and AVERAGEIF 5:05:59
SUMIFS 5:10:54
XLOOKUP 5:14:56
Populating Forms with XLOOKUP 5:23:21
Displaying Pivot Table Fields with COUNT Function 5:31:57
Calculated Fields 5:36:47
Slicers 5:43:33
Using the Timeline 5:49:42
Inserting Report Filter Pages 5:54:57
Flash Fill for Text Functions 5:59:38
Introduction to Advanced Conditional Formatting and Macros 6:05:55
Array Formula Basics 6:06:42
Looking Up Multiple Values with XLOOKUP 6:13:00
Array Functions 6:18:01
Advanced Conditional Formatting 6:25:08
Combo Charts 6:32:36
Developer Tab 6:40:18
Macro Basics 6:44:31
Relative Reference Macros 6:51:07
VBA Basics 6:55:07
Cleaning Up Macros 7:01:51
Conclusion - Excel Power User 7:10:22

#excel #exceltutorial #exceltips #exceltricks #dataanalytics #datavisualization
Learnit is no longer associated with this channel/video.

(C) 2025 Bomberry Productions
Any illegal reproduction of this content will result in immediate legal action.

wisdom
4 Views · 6 months ago

📁 FREE Course Files & Projects 👉 https://lukeb.co/powerbi-files
🏆 Supporter Access: Problems, Certificate, & More 👉 https://lukeb.co/powerbi

My FREE Course to be a Data Analyst 👉 https://lukebarousse.com/5daycourse

𝗢𝘁𝗵𝗲𝗿 𝗖𝗼𝘂𝗿𝘀𝗲 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀
▔▔▔▔▔▔▔▔▔▔▔
Power BI Course Website 👉 https://www.lukebarousse.com/powerbi
📊 Project #1 - Live Dashboard 👉 https://lukeb.co/powerbi-project1
📉 Project #2 - Live Dashboard 👉 https://lukeb.co/powerbi-project2
Parallels VM - Run Windows on a Mac 👉 https://lukeb.co/parallels

𝗖𝗼𝘂𝗿𝘀𝗲 𝗢𝘂𝘁𝗹𝗶𝗻𝗲
▔▔▔▔▔▔▔
0️⃣ 𝗜𝗻𝘁𝗿𝗼
00:00 - Welcome
03:58 - What is Power BI?
09:19 - Course Intro

1️⃣ 𝗚𝗿𝗮𝗻𝗱 𝗧𝗼𝘂𝗿
13:07 - Power BI Desktop
35:05 - Dashboard Build
58:29 - Power BI Service

2️⃣ 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀
1:13:27 - Column & Bar Charts
1:32:16 - Line & Area Charts
1:48:33 - Common Charts
2:04:59 - Map Charts
2:17:45 - Uncommon Charts
2:30:24 - Tables
2:47:48 - Cards
2:57:23 - Slicers
3:11:00 - Buttons & Bookmarks

📊 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 #𝟭
3:26:17 - Main Dashboard
3:39:49 - Job Drill Through
3:49:35 - Share Dashboard

3️⃣ 𝗣𝗼𝘄𝗲𝗿 𝗤𝘂𝗲𝗿𝘆
4:11:47 - Power Query Intro
4:34:12 - Power Query Editor
4:57:50 - Project #2: Data Import
5:19:33 - Advanced Transformations
5:44:00 - Append Vs Merge
6:10:04 - M Language

4️⃣ 𝗗𝗔𝗫
6:32:37 - DAX Intro
7:04:03 - Explicit Measures
7:34:35 - Parameters

📉 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 #𝟮
7:49:15 - Dashboard Build
8:11:03 - Share Dashboard

𝗠𝘆 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗡𝗲𝗿𝗱𝘀
▔▔▔▔▔▔▔▔▔▔▔▔
💽 SQL for Data Analytics 👉🏼 https://youtu.be/7mz73uXD9DA
❎ Excel for Data Analytics 👉🏼 https://youtu.be/pCJ15nGFgVg
🐍 Python for Data Analytics 👉🏼 https://youtu.be/wUSDVGivd-8
⚛️ ChatGPT for Data Analytics 👉🏼 https://youtu.be/uhyMqbZI6rM
🙌 Support my FREE Courses 👉🏼 https://lukeb.co/courses

𝗠𝘆 𝗗𝗮𝘁𝗮𝗖𝗮𝗺𝗽 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 𝗖𝗼𝘂𝗿𝘀𝗲𝘀
▔▔▔▔▔▔▔▔▔▔▔▔▔▔▔
DAX Functions 👉 https://lukeb.co/dax-datacamp
Intermediate DAX 👉 https://lukeb.co/int-dax-datacamp
Power BI Case Study 👉 https://lukeb.co/powerbi-case-datacamp

𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮
▔▔▔▔▔▔
📫 Newsletter: https://lukebarousse.com/5daycourse
👨🏼‍💼 LinkedIn: https://www.linkedin.com/in/luke-b/
🅧 X/Twitter: https://twitter.com/LukeBarousse
🌄 Instagram: https://www.instagram.com/lukebarousse/
⏰ TikTok: https://www.tiktok.com/@lukebarousse

𝗞𝗲𝗹𝗹𝘆'𝘀 𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮
▔▔▔▔▔▔▔▔▔
👩🏻‍💼 Kelly’s LinkedIn 👉 https://www.linkedin.com/in/kellyjianadams/
🌐 Kelly’s Website 👉 https://www.kellyjadams.com

As a DataCamp and Parallels Affiliate Program member, I earn a commission from qualifying purchases on the links above. This does not cost you anything but helps support making more content.

#datanerd #dataanalyst #dataanalytics

wisdom
19 Views · 6 months ago

📁 FREE Course Files & Project 👉 https://lukeb.co/python_repo
🏆 Supporter Access: Problems, Certificate, & More 👉 https://lukeb.co/python

My FREE Course to be a Data Analyst 👉 https://lukebarousse.com/5daycourse

📌💬 See pinned comment for troubleshooting tips.

𝗖𝗵 0️⃣ - 𝗜𝗻𝘁𝗿𝗼
▔▔▔▔▔
0:00:00 - Welcome
0:03:12 - What is Python?
0:04:51 - Intro to Course

𝗖𝗵 1️⃣ - 𝗕𝗮𝘀𝗶𝗰𝘀
▔▔▔▔▔▔
0:08:42 - Getting Started
0:18:52 - Variables
0:24:25 - Python Terms
0:38:06 - Data Types
0:48:41 - Strings
1:02:04 - ChatBot Help
1:05:06 - String Formatting
1:15:10 - Operators Part 1
1:26:20 - Conditional Statements
1:34:24 - Lists
1:49:42 - Dictionaries
1:59:54 - Sets
2:05:15 - Tuples
2:12:26 - Operators Part 2
2:21:06 - Loops
2:36:31 - List Comprehensions
2:44:16 - Exercise: Basics
2:52:12 - Functions
3:02:03 - Lambda
3:12:46 - Modules
3:28:16 - Exercise: Python Library
3:40:05 - Library
3:52:33 - Classes
4:10:44 - NumPy: Intro
4:22:56 - Pandas: Intro
4:33:09 - Pandas: Inspection
4:47:20 - Pandas: Cleaning
4:58:46 - Pandas: Analysis
5:08:26 - Exercise: Pandas Basics
5:17:19 - Matplotlib: Intro
5:21:23 - Matplotlib: Plotting
5:34:41 - Matplotlib: Labeling
5:40:34 - Matplotlib: Pandas Plotting
5:46:00 - Exercise: Matplotlib Basics

𝗖𝗵 2️⃣ - 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱
▔▔▔▔▔▔▔▔
5:50:56 - Python Install (Anaconda)
6:00:34 - VS Code Install
6:10:49 - Virtual Environments (See Pinned Comment)
6:27:15 - Pandas: Accessing Data
6:35:38 - Pandas: Data Cleaning
6:42:54 - Pandas: Data Management
6:49:35 - Pandas: Pivot Tables
6:57:00 - Pandas: Index Management
7:04:50 - Exercise: Job Demand
7:15:37 - Pandas: Merge DataFrames
7:25:53 - Pandas: Concat DataFrames
7:34:31 - Pandas: Exporting Data
7:40:56 - Pandas: Applying Functions
7:56:39 - Pandas: Explode
8:08:27 - Exercise: Trending Skills
8:17:21 - Matplotlib: Format Charts
8:30:06 - Matplotlib: Pie Plots
8:40:04 - Matplotlib: Scatter Plots
8:50:35 - Matplotlib: Advanced Customization
9:06:00 - Matplotlib: Histograms
9:10:36 - Matplotlib: Box Plots
9:22:01 - Exercise: Skill Pay Analysis
9:31:39 - Seaborn: Intro

𝗖𝗵 3️⃣ - 𝗣𝗿𝗼𝗷𝗲𝗰𝘁
▔▔▔▔▔▔
9:45:40 - Project: Intro
9:56:23 - Git & GitHub Setup
10:09:50 - Skill Demand
10:29:33 - Skills Trend
10:42:30 - Salary Analysis
10:50:57 - Optimal Skills
11:03:22 - Share on GitHub
11:06:04 - Share on LinkedIn

🔗 𝗟𝗶𝗻𝗸𝘀 𝗠𝗲𝗻𝘁𝗶𝗼𝗻𝗲𝗱
▔▔▔▔▔▔▔▔▔
1️⃣ 𝗕𝗮𝘀𝗶𝗰𝘀 𝗟𝗶𝗻𝗸𝘀
- Dataset (Hugging Face) - https://huggingface.co/dataset....s/lukebarousse/data_
- Functions Python Docs - https://docs.python.org/3/library/functions.html
- Python Standard Library - https://docs.python.org/3/library/index.html
- DateTime Docs - https://docs.python.org/3/library/datetime.html
- AST Docs - https://docs.python.org/3/library/ast.html
- Format String Literals - https://docs.python.org/3/refe....rence/lexical_analys
- Pandas Docs - https://pandas.pydata.org/pand....as-docs/stable/refer
- Matplotlib Docs - http://matplotlib.org/
- Matplotlib CheatSheet - https://matplotlib.org/cheatsheets/

2️⃣ 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗟𝗶𝗻𝗸𝘀
- VS Code Install - https://code.visualstudio.com/download
- Anaconda Install - https://anaconda.com/download/success
- Anaconda Docs - https://docs.conda.io
- Software Jobs CSV - https://lukeb.co/software_csv
- Joins Explained (SQL for Data Analytics) - https://lukeb.co/sql_joins
- Pandas Cheat Sheet - https://pandas.pydata.org/Pandas_Cheat_Sheet.pdf
- Seaborn Docs - https://seaborn.pydata.org/

3️⃣ 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗟𝗶𝗻𝗸𝘀
- Git Download - https://git-scm.com/downloads
- GitHub Signup - http://github.com/signup
- Markdown CheatSheet - https://www.markdownguide.org/cheat-sheet/

𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮
▔▔▔▔▔▔
📫Newsletter: https://www.lukebarousse.com/
👨🏼‍💼 Linkedin: https://www.linkedin.com/in/luke-b/
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🌄 Instagram: https://www.instagram.com/lukebarousse/
⏰ TikTok: https://www.tiktok.com/@lukebarousse

Connect with Kelly Adams, the course producer:
👩🏻‍💼 Kelly’s LinkedIn: https://www.linkedin.com/in/kellyjianadams
🌐 Kelly’s Website: https://www.kellyjadams.com

As an Amazon, Coursera, and Parallels Affiliate Programs member, I earn a commission from qualifying purchases on the links above. It costs you nothing but helps me with content creation.

#datanerd #dataanalyst #datascience

wisdom
3 Views · 6 months ago

📁 FREE Course Databases & Links 👉 https://lukebarousse.com/sql
🏆 Supporter Access: Problems, Certificate, & More 👉 https://lukeb.co/sql

⚠️ Fix Database Load Issue in Ch 2 👉 https://youtu.be/420SocHACCE
IMPORTANT: Drop the database and reload the tables before proceeding. (Instructions in pinned comment)

My FREE Course to be a Data Analyst 👉 https://lukebarousse.com/5daycourse

𝗖𝗵 1️⃣ - 𝗕𝗮𝘀𝗶𝗰𝘀
▔▔▔▔▔▔▔
0:00:00 - Welcome
0:03:43 - What is SQL
0:10:44 - Intro to Course
0:16:51 - The Basics
0:33:59 - Comparisons
0:41:18 - Practice Problem 1
0:45:23 - Wildcards
0:48:49 - Alias: AS
0:51:06 - Practice Problem 2
0:54:01 - Operations
0:59:37 - Aggregation
1:06:28 - Practice Problem 3
1:08:45 - NULL Values
Skipped - Practice Problem 4
1:10:07 - JOINS
1:20:15 - Order of Execution
1:22:35 - Practice Problem 5

𝗖𝗵 2️⃣ - 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱
▔▔▔▔▔▔▔▔
1:26:18 - Setup PostgreSQL
1:32:48 - IDE Install: VS Code
1:44:08 - Data Types
1:47:35 - Manipulate Tables
2:00:00 - Database Load
2:10:02 - Date Functions
2:20:26 - Problem Problem 6
2:25:02 - CASE Expression
2:30:24 - SubQueries and CTEs
2:42:21 - Practice Problem 7
2:50:11 - UNION Operators
2:54:28 - Practice Problem 8

𝗖𝗵 3️⃣ - 𝗣𝗿𝗼𝗷𝗲𝗰𝘁
▔▔▔▔▔▔▔
2:58:11 - About the Project
3:02:17 - Create the Repository
3:14:50 - Query 1 - Top Paying Jobs
3:20:42 - Query 2 - Top Paying Job's Skills
3:28:10 - Query 3 - In-Demand Skills
3:34:14 - Query 4 - Top Paying Skills
3:41:37 - Query 5 - Most Optimal Skills
3:53:14 - Share on GitHub
4:05:16 - Share on LinkedIn

𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮
▔▔▔▔▔▔▔
📫Newsletter: https://www.lukebarousse.com/
👨🏼‍💼 Linkedin: https://www.linkedin.com/in/luke-b/
🅧 X/Twitter: https://twitter.com/LukeBarousse
🌄 Instagram: https://www.instagram.com/lukebarousse/
⏰ TikTok: https://www.tiktok.com/@lukebarousse

Thanks to Kelly Adams for her work in producing this course 🎉🙌
👩🏻‍💼 Kelly's LinkedIn: https://www.linkedin.com/in/kellyjianadams/
🌐 Kelly's Website: https://www.kellyjadams.com/

#sql #postgresql #sqlite

wisdom
30 Views · 6 months ago

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 𝐂𝐨𝐮𝐫𝐬𝐞 (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞 "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎") : https://www.edureka.co/masters....-program/data-analys
In this Edureka Data Analyst Full Course video, you will learn what data analytics is, why data analytics is necessary, the types of data analytics, and the various data analytics applications. You will then understand a case study and perform analysis of data. Finally, we’ll see the top interview questions that will help you crack a data analyst interview.

0:01:37 What is Data Analytics?
0:51:15 Data Analyst Roadmap
1:02:16 What is Numpy?
1:31:50 Pandas Explained
2:34:12 Data Visualization Using Power BI Desktop
3:01:24 How to Connect SQL Server in Power BI?
3:06:58 What is Matplotlib?
3:31:01 Statistics And Probability Explained
5:03:36 Hypothesis Testing Statistics
5:56:29 SQL Basics for Beginners
6:22:46 Time Series Analysis in Python
6:57:52 Excel for Beginners
7:13:45 Analyzing Recent COVID-19 Trends Using Python
8:16:32 FIFA with Python Data Analysis
8:39:04 Affect of Global Recession on Analytics Industry
9:05:15 Top 10 Data Visualization Tools
9:23:26 Top 10 Skills To Become a Data Analyst
9:32:24 Data Scientist vs Data Analyst
9:54:42 Data Analyst Interview Questions and Answers

🔴 𝐋𝐞𝐚𝐫𝐧 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐅𝐨𝐫 𝐅𝐫𝐞𝐞! 𝐒𝐮𝐛𝐬𝐜𝐫𝐢𝐛𝐞 𝐭𝐨 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐘𝐨𝐮𝐓𝐮𝐛𝐞 𝐂𝐡𝐚𝐧𝐧𝐞𝐥: https://edrk.in/DKQQ4Py

📢📢Check out the latest 2025 video on Top 10 Technologies for the most up-to-date insights!
📌 Top 10 Technologies to Learn in 2025 → https://youtu.be/5kjWh8lBxC4

📝Feel free to share your comments below.📝

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

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📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
📌𝐓𝐰𝐢𝐭𝐭𝐞𝐫: https://twitter.com/edurekain
📌𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: https://www.linkedin.com/company/edureka
📌𝐈𝐧𝐬𝐭𝐚𝐠𝐫𝐚𝐦: https://www.instagram.com/edureka_learning/
📌𝐅𝐚𝐜𝐞𝐛𝐨𝐨𝐤: https://www.facebook.com/edurekaIN/
📌𝐒𝐥𝐢𝐝𝐞𝐒𝐡𝐚𝐫𝐞: https://www.slideshare.net/EdurekaIN
📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: +18885487823 (toll-free) for more information.

wisdom
7 Views · 6 months ago

🔥IIT Delhi - Data Analytics, Generative AI And Adaptive System - https://www.simplilearn.com/ihfc-iitd-data-analytics-genai-course?utm_campaign=D5Wx-pPWy9s&utm_medium=Lives&utm_source=Youtube
🔥Data Analyst Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=D5Wx-pPWy9s&utm_medium=Lives&utm_source=Youtube
🔥IITK - Professional Certificate Course in Data Analytics and Generative AI (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=D5Wx-pPWy9s&utm_medium=Lives&utm_source=Youtube

The Data Analytics Full Course 2026 provides a structured learning path for aspiring and experienced data analysts, covering essential concepts, tools, and career strategies. It begins with an introduction to Data Analytics, a beginner-friendly tutorial, and a comparison between Data Science and Data Analytics. Career guidance sections include steps to become a data analyst in 2026 and the top 10 certifications to boost credibility. The course delves into technical skills such as Power BI and Tableau for data visualization, SQL and Python for data manipulation, and R programming for statistical computing. Learners also explore Exploratory Data Analysis (EDA) in Python, understand ETL (Extract, Transform, Load) processes, and leverage AI tools like ChatGPT for data analytics and automation. The course also includes advanced topics like data transformation, SQL Server tutorials, and Tableau calculations. Finally, a dedicated interview preparation section with common Data Analytics interview questions ensures learners are job-ready. By the end of this course, participants will have a solid understanding of data analytics methodologies, tools, and real-world applications, preparing them for data-driven careers.

Following are the topics covered in the Data Analyst Full Course 2026:

00:00:00 - Introduction to Data Analytics Full Course 2026
00:10:48 - What Is Data Analytics?
00:24:23 - Complete Data Analyst Roadmap
02:16:50 - Excel Data Analytics
02:59:50 - Excel Data Visualization
03:15:27 - Chatgpt and Excel with Data Analytics
03:23:56 - Annova in excel
04:17:00 - Time series analysis
05:25:56 - Power BI Tutorial
05:49:02 - Power bi DAX tutorial
06:03:32 - Python in Excel
06:25:14 - Power Qurey Automation
07:21:14 - Tableau Training
07:22:52 - Learn SQL For Data Analysis
10:39:19 - Python Data Visualization
11:03:23 - Top 10 Data Analytics Tools
11:12:48 - ChatGPT for Data Analytics
11:47:07 - Data Analyst Interview Questions

✅ What is Data Analytics?

Data analytics is the process of analyzing data to extract insights and make conclusions. It's a multidisciplinary field that uses a variety of techniques, including math, statistics, and computer science. Data analytics can help businesses optimize performance, make more informed decisions, and maximize profit.

⏩ Check out the Data Analytics Playlist: link: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

#dataanalytics #dataanalyticsforbeginners #datanalysis #sql #powerbi #tableau #excel #python #simplilearn #2026

➡️ About Post Graduate Program In Data Analytics

This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

Key Features

✅ Post Graduate Program certificate and Alumni Association membership
✅ Exclusive hackathons and Ask me Anything sessions by IBM
✅ 8X higher live interaction in live online classes by industry experts
✅ Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.

✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Resume preparation and LinkedIn profile building
✅ 1:1 mock interview
✅ Career accelerator webinars

Skills Covered

✅ Data Analytics
✅ Statistical Analysis using Excel
✅ Data Analysis Python and R
✅ Data Visualization Tableau and Power BI
✅ Linear and logistic regression modules
✅ Clustering using kmeans
✅ Supervised Learning

👉 Learn More at: https://www.simplilearn.com/ihfc-iitd-data-analytics-genai-course?utm_campaign=D5Wx-pPWy9s&utm_medium=Lives&utm_source=youtube

wisdom
2 Views · 6 months ago

🔥Data Analyst Masters Program (Discount Code - YTBE15) - https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=OfsguBDTWjI&utm_medium=Lives&utm_source=Youtube
🔥IIT Kanpur - Professional Certificate Course in Data Analytics and Generative AI (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=OfsguBDTWjI&utm_medium=Lives&utm_source=Youtube
🔥IIT Delhi - Data Analytics, Generative AI And Adaptive System - https://www.simplilearn.com/ihfc-iitd-data-analytics-genai-course?utm_campaign=OfsguBDTWjI&utm_medium=Lives&utm_source=Youtube
🔥IIT Kanpur - Professional Certificate Course in Data Analytics and Generative AI - https://www.simplilearn.com/iitg-generative-ai-data-analytics-program?utm_campaign=OfsguBDTWjI&utm_medium=Lives&utm_source=Youtube

This video on Data Analytics Full Course 2026 by Simplilearn, is a complete beginner-to-job-ready learning path designed to build strong analytical foundations using Excel, SQL, Power BI, and Tableau. The course starts with Excel data analysis, covering data validation, conditional formatting, data cleaning, Power Query, pivot tables, lookup functions, and AI-powered analysis, mirroring how analysts work with raw business data. You will then transition into SQL for Data Analytics, learning how to create tables, filter and aggregate data, use joins and subqueries, and apply SQL to real analytics projects. This builds the logical thinking required for data-driven decision-making. The visualization layer is handled using Power BI and Tableau, where you will build dashboards, write DAX formulas, create calculated fields, apply LOD expressions, and design executive-ready reports. This reflects how successful analysts convert raw data into insights that influence stakeholders and business outcomes. By the end of this course, you will understand the full analytics workflow, from data extraction and cleaning to visualization and storytelling. This makes the course ideal for students, career switchers, and professionals aiming to enter Data Analytics roles in 2026.

Following are the topics covered in this tutorial on Data Analytics Full Course For Beginners:

00:00:00 Introduction to Data Analytics Full Course 2026 For Beginners
00:02:18 Data Analytics With Excel
- Data Validation in Excel
- Conditional Formatting in Excel
- Data Cleaning in Excel
- Power Query in Excel
- Pivot Tables in Excel
- LookUp Functions in Excel (XLOOKUP, VLOOKUP, HLOOKUP)
- Aggregate Functions in Excel
- AI in Excel (Analyze in Excel)
01:05:49 Data Analytics with SLQ
- Create table in SQL
- Extract Data in SQL
- WHERE in SQL
- GROUP BY in SQL
- HAVING in SQL
- LIMIT in SQL
- JOINS in SQL
- Sub-Queries in SQL
- SQL Data Analytics Projects
01:36:33 Power BI for Data Analytics
- Data Visualization in Power BI
- DAX in Power BI
- Sales Dashboard in Power BI
02:31:06 Tableau For Data Analytics
- Data Visualization in Tableau
- Charts and Graphs in Tableau
- LOD in Tableau
- Calculated Fields in Tableau
- Tableau Dashboard Tutorial

Related Videos:
✅ 1. Power BI Full Course 2026 - https://youtu.be/husZ6Noq7e0
✅ 2. SQL Full Course 2026 - https://youtu.be/crZIWsWy4fs
✅ 3. Advanced Excel Full Course 2026 - https://youtu.be/I-Dw4G3XAAQ
✅ 4. Tableau Full Course 2026 - https://youtu.be/bVtB9JEKGu0
✅ 5. Excel Lookup Tutorial - https://youtu.be/dn6jnFS3tvg

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Data Analytics training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUUKnB4

#dataanalystfullcourse #dataanalysistutorialforbeginners #dataanalyticsroadmap #skillstobecomeadataanalyst #dataanalystproject #dataanalystportfolio #excelforbeginners #exceldataanalysis #powerbitutorial #powerbifordataanalyst #sqlfordataanalyst #tableaufordataanalyst #simplilearn #2026

➡️ About Professional Certificate in Data Analytics and Generative AI

This Professional Certificate in Data Analytics and Generative AI program is ideal for professionals from all backgrounds. It covers Excel, SQL, Python, Tableau, Power BI, and generative AI techniques via hands-on projects.

Key Features

✅ Exclusive hackathons and Ask me Anything sessions by IBM
✅ Attend live classes led by Industry experts

Skills Covered
✅ Data Analytics
✅ Generative AI
✅ Data Storytelling
✅ Data Ethics
✅ SQL
✅ Python
✅ ETL
✅ Statistical Analysis Using Excel

👉 Learn More At: https://www.simplilearn.com/post-graduate-program-data-science?utm_campaign=OfsguBDTWjI&utm_medium=Lives&utm_source=youtube

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

wisdom
3 Views · 6 months ago

Take my Full Courses and Practice Technical Question on Analyst Builder: https://www.analystbuilder.com/

Link to Data Analyst Bootcamp Playlist: https://bit.ly/3HHqwcr

In this video we walk through the Free Data Analyst Bootcamp right here on my YouTube channel.

I'll walk through how to do it and how to earn the certification in the video :)
____________________________________________

SUBSCRIBE!
Do you want to become a Data Analyst? That's what this channel is all about! My goal is to help you learn everything you need in order to start your career or even switch your career into Data Analytics. Be sure to subscribe to not miss out on any content!
____________________________________________

RESOURCES:

Coursera Courses:
📖Google Data Analyst Certification: https://coursera.pxf.io/5bBd62
📖Data Analysis with Python - https://coursera.pxf.io/BXY3Wy
📖IBM Data Analysis Specialization - https://coursera.pxf.io/AoYOdR
📖Tableau Data Visualization - https://coursera.pxf.io/MXYqaN

Udemy Courses:
📖Python for Data Science - https://bit.ly/3Z4A5K6
📖Statistics for Data Science - https://bit.ly/37jqDbq
📖SQL for Data Analysts (SSMS) - https://bit.ly/3fkqEij
📖Tableau A-Z - http://bit.ly/385lYvN

*Please note I may earn a small commission for any purchase through these links - Thanks for supporting the channel!*
____________________________________________

BECOME A MEMBER -

Want to support the channel? Consider becoming a member! I do Monthly Livestreams and you get some awesome Emoji's to use in chat and comments!

https://www.youtube.com/channe....l/UC7cs8q-gJRlGwj4A8
____________________________________________

Websites:
💻Website: AlexTheAnalyst.com
💾GitHub: https://github.com/AlexTheAnalyst
📱Instagram: @Alex_The_Analyst
____________________________________________

*All opinions or statements in this video are my own and do not reflect the opinion of the company I work for or have ever worked for*

wisdom
8 Views · 6 months ago

AD: Sign up to enroll for a 7-day free trial with Coursera now! https://imp.i384100.net/c/4021....125/1347618/14726?u=
Learn all the fundamentals of Data Analysis on Excel in 10 minutes!

🆓 DOWNLOAD Free Excel file for this video: https://view.flodesk.com/pages..../63f8abed3e1e4ad2834

#coursera #courserapartner @coursera

This video will teach you all the fundamentals of data analysis in just 10 minutes. First, we'll go over how to transform or clean up a raw set of data on Excel. This will include using features like the trim formula, data types, removing duplicates, and more. Then, we'll look at descriptive statistics using the data analysis feature on Excel. This will give us important numbers like the average, min, max, quartiles etc. We'll also create a box and whisker chart for analysing outliers. Third, we'll analyze the data using pivot tables. Finally, we'll create a small report using conditional formatting, xlookups, sumifs and more.

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🧑‍💻 The Data Analyst Program: https://www.careerprinciples.c....om/career-track/the-
🚀 All our courses: https://www.careerprinciples.com/all-courses

▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬

Chapters:
0:00​ -​ Intro
0:30 - Transforming Data
4:41​ - Descriptive Statistics
8:10​ - Data Analysis
10:43​ - Dashboard for showing your findings

wisdom
19 Views · 6 months ago

This Data Analytics Full Course 2026 by Simplilearn, is a complete step-by-step program designed to take you from beginner to job-ready data analyst. The course starts with the fundamentals of data analytics and explains key concepts like types of analytics and real-world applications. You will learn Excel in depth, including formulas, data cleaning, Pivot Tables, dashboards, What-If analysis, and automation with Power Query. Next, you’ll move to Power BI to understand data modeling, DAX, visualizations, dashboards, and report publishing. The course then covers SQL from basics to advanced topics like joins, subqueries, indexing, and real-world projects for data analysis. You will also learn Python for data analytics and explore practical projects using Excel, SQL, Power BI, and Tableau. Finally, the course prepares you with interview questions, certification guidance, and hands-on projects to help you confidently start your data analytics career.

Following are the topics covered in the Data Analytics Full Course 2026:
00:00:00 - Introduction to Data Analytics Full Course 2026
00:03:21 - Data Analytics For Beginners
00:13:10 - Data Analytics Using R
01:06:05 - Excel for Data Analytics 2026
01:08:43 - What is Data Analytics
01:10:52 - Types of Data Analytics
01:14:07 - Why Excel is Still Relevant for Data Analysis
01:17:37 - Excel Interface and Key Functions
01:21:49 - Text To Columns
01:26:58 - Age Groups Creation Using Conditional Statements in Excel
01:30:50 - Flash Fill in Excel
01:32:43 - LEFT() in Excel
01:36:59 - Data Validation in Excel
01:43:25 - Workbook
01:45:07 - Alt+H+O+I (auto adjust Cell width in Excel) Alt+H+OA (Auto Adjust Cell Height in Excel)
01:47:00 - Freeze Cells in Excel
01:47:38 - Statistics in Excel
01:55:00 - Filter Function in Excel (Load Data Copying or moving in excel)
01:56:56 - Data Analytics in Excel (What-If Analysis in excel, Forecast in excel)
01:59:23 - How to import Data to excel
02:00:05 - Pivot Tables in Excel
02:02:00 - Pivot Analyze and Pivot Charts in Excel
02:09:32 - How to build an interactive Dashboard in Excel
02:11:48 - How to insert Slicers in Excel
02:13:48 - Report Connections in Slicers
02:15:10 - Power BI Tutorial for Beginners
02:18:12 - Introduction to Power BI
02:34:06 - Understanding Power BI Workflow
02:58:30 - Connecting to Data Sources
03:07:46 - Data Transformation with Power Query Editor
04:14:17 - Building a Data Model
04:23:00 - Introduction to DAX (Data Analysis Expressions)
05:16:17 - Visualizations in Power BI
05:53:51 - Power BI Service – Publishing and Sharing Reports
06:22:40 - Power BI Tips, Tricks, and Common Mistakes
06:42:24 - Final Quiz and Certification Resource Guide
06:54:03 - SQL Tutorial for Beginners
06:58:05 - Introduction to SQL and Database Basics
07:17:51 - Basic SQL Queries
08:01:36 - Understanding Data Types and Operators
08:13:41 - Inserting, Updating, and Deleting Data
08:42:08 - Mastering SQL JOINS
09:02:33 - Grouping and Aggregating Data
09:18:37 - Subqueries and Nested Queries
09:30:49 - Data Modeling and Relationships
09:44:08 - Indexing and Performance Tuning
09:53:13 - Views, Functions, and Stored Procedures
10:07:34 - Transactions and Error Handling
10:35:18 - Real-World SQL Projects
11:24:39 - SQL for Data Analysis
11:40:23 - SQL Interview Questions
12:04:43 - Certification Prep
12:23:15 - Python For Data Analytics
20:41:28 - Data Analytics Projects For Beginners
20:43:46 - Data Analytics With Excel
- Data Validation in Excel
- Conditional Formatting in Excel
- Data Cleaning in Excel
- Power Query in Excel
- Pivot Tables in Excel
21:47:17 - Data Analytics with SQL
- JOINS in SQL
- Sub-Queries in SQL
22:18:01 - Power BI for Data Analytics
22:22:34 - Tableau For Data Analytics
22:35:36 - Data Analyst Interview Questions And Answers

🔥Data Analyst Masters Program - https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=Ndcgo2ZA2Cg&utm_medium=Description&utm_source=Youtube
🔥IIT Kanpur - Course in Data Analytics and Generative AI - https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=Ndcgo2ZA2Cg&utm_medium=Description&utm_source=Youtube
🔥IITG - Data Analytics and Generative AI (India Only) - https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=Ndcgo2ZA2Cg&utm_medium=Description&utm_source=Youtube

✅ Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Data Analytics training videos: https://youtube.com/playlist?l....ist=PLEiEAq2VkUUKnB4

#dataanalystfullcourse #dataanalysistutorialforbeginners #dataanalyticsroadmap #skillstobecomeadataanalyst #dataanalystproject #dataanalystportfolio #excelforbeginners #exceldataanalysis #powerbitutorial #powerbifordataanalyst #sqlfordataanalyst #tableaufordataanalyst #simplilearn #2026

wisdom
21 Views · 6 months ago

Google's 7 Hour Data Analytics Course 👉 https://imp.i384100.net/xLA0Yd

In this video, I break down Google’s 7 Hour Data Analytics Course by rating it across time, cost, industry demand, salary potential, teaching quality, and real job outcomes. Most people look at certificates as pure education, but I explain how the certification game is really about signaling, perceived duration, brand leverage, and how hiring filters actually work. Once you understand that system and where this course fits inside it, you can evaluate it as a controlled entry point into data analytics rather than a guaranteed job shortcut.

✅ Join Coursera Plus to Access it all: https://imp.i384100.net/4G6ZQZ

Contact us: inquiries(at)academiabyanton.com

wisdom
13 Views · 6 months ago

✅ Download the free course exercise files to follow along
➡️https://www.simonsezit.com/dat....a-analytics-in-excel

In this Introduction to Data Analysis with Excel training, we show you how to use Excel spreadsheets for data analysis. We start off by identifying the data types in Excel and viewing and entering data. We then move on to the basics of Excel formulas and explore more Excel functions that are helpful for data analysis.

We'll also discuss how to clean and manage your data in Excel. We'll cover an introduction to data quality, importing file data, identifying data attributes, and more.

We've even included downloadable course exercise files from our paid-for courses so you can follow along and complete the exercises in this course. This will help you put what you are learning into practice.

https://www.simonsezit.com/dat....a-analytics-in-excel

📝 Use the timestamps below to navigate to different sections of the course. If you already know one of these topics, skip ahead!

00:00:00 - Simon Sez IT Intro
00:00:21 - Course Introduction
00:01:53 - Navigating Excel
00:15:15 - Data Types in Excel
00:21:12 - Viewing, Entering and Copying Data
00:30:08 - Formatting and Data Types in Excel
00:36:53 - Excel Formula Basics
00:48:37 - Exploring Excel Functions
00:58:16 - Referencing Data in Formulas
01:07:11 - Exercise 01
01:11:28 - Introduction to Data Quality
01:21:28 - Importing File Data
01:27:05 - Removing Duplicate Data
01:34:55 - Identifying Data Attributes
01:43:19 - Cleaning Data
01:50:59 - Exercise 02

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🔥Check out our FREE 300+ hour training course playlist here ➡️
https://www.youtube.com/playli....st?list=PLzj7TwUeMQ3

✅ Check out our free video playlist for data visualization 👉https://www.youtube.com/playli....st?list=PLzj7TwUeMQ3

✅Power BI Tutorials for Beginners video playlist 👉 https://www.youtube.com/playli....st?list=PLzj7TwUeMQ3

✅ Microsoft Excel Beginner's Training here 👉 https://www.youtube.com/playli....st?list=PLzj7TwUeMQ3

✅ Data Analysis using Microsoft Tools here 👉 https://www.youtube.com/playli....st?list=PLzj7TwUeMQ3

💬Stay in touch!
SimonSezIT.com: https://www.SimonSezIT.com/
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If you enjoyed the video, please give a thumbs up 👍🏽 ;-)

wisdom
1 Views · 6 months ago

"️🔥IBM - Data Analyst - https://www.simplilearn.com/data-analyst-certification-course?utm_campaign=A1JN_UN3mYE&utm_medium=DescriptionFFF&utm_source=Youtube
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In this Data Analyst Full Course video, you will learn what data analytics is, why data analytics is necessary, the types of data analytics, and the various data analytics applications. You will then understand a case study and perform analysis of data using Python and R. In addition to that; we will see the top 10 data analysis tools and understand the difference between a data scientist and a data analyst. Finally, we’ll see the top interview questions that will help you crack a data analyst interview.

Below are the topics covered in this video:
00:00:00 Introduction - Data Analyst
00:01:56 Data Analyst Career - Data Analyst
00:37:15 Top 10 Data Analyst Skills - Data Analyst
00:50:33 Top 10 Data Analyst Tools - Data Analyst
01:23:10 Data Scientist vs Data Analyst - Data Analyst Full Course
01:39:59 Data Analytics with Python - Data Analyst
01:49:44 Microsoft Excel Tutorial - Data Analyst
02:18:41 Pivot table in excel - Data Analyst
02:46:53 Excel Dashboard - Data Analyst
06:58:05 Data Analytics Using R - Data Analyst
08:04:33 What is SQL? - Data Analyst
09:41:38 Data Analyst Interview Questions - Data Analyst

⏩ Check out the Data Analytics Playlist: link: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

#DataAnalystCourse #DataAnalyst #BecomeDataAnalyst #DataAnalyticsFullCourse #DataAnalyticsForBeginners #DataAnalyticsLecture #LearnDataAnalytics #DataAnalysis #DataAnalytics #Simplilearn #DataAnalystFullCourse
➡️ About Data Analyst Master’s Program
This online data analyst course will transform you into a data analytics expert. In this certification course, you will learn the latest analytics tools and techniques, how to work with SQL, the languages of R and Python, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment.

✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Industry-recognized Data Analyst Master’s certificate from Simplilearn
- Dedicated live sessions by faculty of industry experts
- Masterclasses from IBM experts
- Industry-recognized IBM certifications for IBM courses
- Ask-Me-Anything (AMA) sessions with IBM leadership
- Capstone from 3 domains and 20+ projects
- Exclusive hackathons conducted by IBM
- Lifetime access to self-paced learning content
- Program crafted to initiate your journey as a Data Analyst

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis using Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using KMeans
- Supervised Learning
- Unsupervised Learning



👉 Learn More at:

🔥🔥

wisdom
2 Views · 6 months ago

"️🔥IBM - Data Analyst - https://www.simplilearn.com/data-analyst-certification-course?utm_campaign=CaqJ65CIoMw&utm_medium=DescriptionFFF&utm_source=Youtube
️🔥IITG - Professional Certificate Program in Data Analytics & Generative AI - https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=CaqJ65CIoMw&utm_medium=DescriptionFFF&utm_source=Youtube
️️🔥 IIT Delhi - Data Analytics, Generative AI And Adaptive System - https://www.simplilearn.com/ihfc-iitd-data-analytics-genai-course?utm_campaign=CaqJ65CIoMw&utm_medium=DescriptionFFF&utm_source=Youtube
️🔥PL-300 Microsoft Power BI Certification Training with Exam - https://www.simplilearn.com/power-bi-certification-training-course?utm_campaign=CaqJ65CIoMw&utm_medium=DescriptionFFF&utm_source=Youtube
️🔥Tableau Desktop Specialist Certification Training - https://www.simplilearn.com/tableau-training-and-data-visualization-course?utm_campaign=CaqJ65CIoMw&utm_medium=DescriptionFFF&utm_source=Youtube"

Data analytics has been rapidly growing, with companies looking to generate insights and drive their business with the help of data. In this Data Analytics Full Course video, you will learn what data analytics is, why data analytics is necessary, the types of data analytics, and the various data analytics applications. You will then understand a case study and perform analysis of data using Python and R. In addition to that; we will see the top 10 data analysis tools and understand the difference between a data scientist and a data analyst. Finally, we’ll see the top interview questions that will help you crack a data analyst interview.

Dataset Link - https://drive.google.com/drive..../folders/1U8CF0Xx3Ni

00:02:09 Data Analytics for Beginners
00:03:01 What is Data Analytics
00:04:30 Steps involved in Data Analytics
00:06:25 Tools used in Data Analytics
00:10:00 Data analytics applications
00:16:35 companies using data analytics
00:17:15 case study
00:21:15 Who is a data analyst
00:21:53 Top 10 skills to become a Data analyst in 2026
00:28:54 Top 10 Analysis Tools
00:47:10 Data Analytics Using Phyton
02:34:14 R tutorial
03:02:54 Time Series
04:13:12 Pivot table in Excel
04:41:20 Excel Dashboarding
06:12:03 Covid 19
06:53:31 Spotify
07:34:18 World Happiness Report
08:29:51 Olympics
09:27:32 Data Analyst Interview Questions

⏩ Check out the Data Analytics Playlist: link: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

#DataAnalyticsFullCourse #2026 #DataAnalyticsForBeginners #LearnDataAnalytics #DataAnalysis #DataAnalytics #Simplilearn
➡️ About Data Analyst Master’s Program
This online data analyst course will transform you into a data analytics expert. In this certification course, you will learn the latest analytics tools and techniques, how to work with SQL, the languages of R and Python, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment.

✅ Key Features
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Industry-recognized Data Analyst Master’s certificate from Simplilearn
- Dedicated live sessions by faculty of industry experts
- Masterclasses from IBM experts
- Industry-recognized IBM certifications for IBM courses
- Ask-Me-Anything (AMA) sessions with IBM leadership
- Capstone from 3 domains and 20+ projects
- Exclusive hackathons conducted by IBM
- Lifetime access to self-paced learning content
- Program crafted to initiate your journey as a Data Analyst

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis using Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using KMeans
- Supervised Learning
- Unsupervised Learning



👉 Learn More at:

🔥🔥

wisdom
4 Views · 6 months ago

Get the course here - https://chandoo.org/dac

Announcing my first ever FREE Data Analyst Course, right here on YouTube.

First video - https://youtu.be/Iceaqdy7mEs

#freedataanalystcourse #chandoo #excel #powerbi #Sql #python #fdac

wisdom
1 Views · 6 months ago

Become a data analyst by following along with this massive course. You will learn the core topics that data analysts need to know. And along the way, you will build plenty of projects to gain hands-on experience.

✏️ Bootcamp developed by @AlexTheAnalyst

🔗 Analyst Builder: https://www.analystbuilder.com/

💻 Access the datasets used here: https://github.com/AlexTheAnalyst

❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp

⭐️ Chapters ⭐️
00:00:00 Introduction
00:01:10 How to Become a Data Analyst in 2023 (Completely FREE!)
00:15:08 SQL Basics Tutorial | Installing SQL Server Management Studio and Create Tables
00:24:44 SQL Basics Tutorial | Select + From Statements
00:30:57 SQL Basics Tutorial | Where Statement
00:38:54 SQL Basics Tutorial | Group By + Order By Statements
00:47:03 Intermediate SQL Tutorial | Inner/Outer Joins | Use Cases
01:02:55 Intermediate SQL Tutorial | Unions | Union Operator
01:08:19 Intermediate SQL Tutorial | Case Statement | Use Cases
01:15:44 Intermediate SQL Tutorial | Having Clause
01:19:15 Intermediate SQL Tutorial | Updating/Deleting Data
01:23:51 Intermediate SQL Tutorial | Aliasing
01:30:02 Intermediate SQL Tutorial | Partition By
01:34:16 Advanced SQL Tutorial | CTE (Common Table Expression)
01:37:59 Advanced SQL Tutorial | Temp Tables
01:48:18 Advanced SQL Tutorial | String Functions + Use Cases
02:02:06 Advanced SQL Tutorial | Stored Procedures + Use Cases
02:08:20 Advanced SQL Tutorial | Subqueries
02:16:57 Data Analyst Portfolio Project | SQL Data Exploration
03:34:01 Data Analyst Portfolio Project | Data Cleaning in SQL
04:28:41 Pivot Tables in Excel | Excel Tutorial
04:46:15 Formulas in Excel | Excel Tutorial
05:20:07 XLOOKUP in Excel | Excel Tutorial
05:38:52 Conditional Formatting in Excel | Excel Tutorial
05:59:49 Charts in Excel | Excel Tutorial
06:14:58 Cleaning Data in Excel | Excel Tutorial
06:36:02 Full Project in Excel | Excel Tutorial
07:16:49 How to Install Tableau and Create First Visualization | Tableau Tutorial
07:33:53 How to use Calculated Fields and Bins in Tableau | Tableau Tutorial
07:40:17 How to Create Visualizations in Tableau | Tableau Tutorial
07:54:20 How to use Joins in Tableau | Tableau Tutorial
08:08:47 Full Beginner Project in Tableau | Tableau Tutorial
08:53:02 How to Install Power BI | Building First Visualization | Microsoft Power BI
09:05:51 How to use Power Query in Power BI | Microsoft Power BI
09:18:57 How to Create and Manage Relationships in Power BI | Microsoft Power BI
09:27:33 How to use DAX in Power BI | Microsoft Power BI
09:43:16 How to use Drill Down in Power BI | Microsoft Power BI
09:49:18 How to use Conditional Formatting in Power BI | Microsoft Power BI
09:59:10 How to use Bins and Lists in Power BI | Microsoft Power BI
10:08:40 Popular Visualizations in Power BI | Microsoft Power BI
10:22:54 Full Power BI Guided Project | Microsoft Power BI
11:05:31 Installing Jupyter Notebooks/Anaconda | Python
11:15:34 Variables in Python | Python
11:28:51 Data Types in Python | Python
11:50:48 Comparison, Logical, and Membership Operators in Python | Python
11:58:03 If Else Statements in Python | Python
12:04:42 For Loops in Python | Python
12:13:59 While Loops in Python | Python
12:19:39 Functions in Python | Python
12:32:22 Converting Data Types in Python | Python
12:38:57 Building a BMI Calculator with Python | Python Project
12:53:19 Building an Automated File Sorter in File Explorer using Python | Python Project
13:10:10 Inspecting Web Pages with HTML | Web Scraping in Python
13:16:03 BeautifulSoup + Requests | Web Scraping in Python
13:23:01 Find and Find_All | Web Scraping in Python
13:35:11 Scraping Data from a Real Website | Web Scraping in Python
14:00:33 Reading in Files in Pandas | Python Pandas Tutorials
14:19:49 Filtering Columns and Rows in Pandas | Python Pandas Tutorials
14:31:37 Indexes in Pandas | Python Pandas Tutorials
14:42:59 Group By and Aggregate Functions in Pandas | Python Pandas Tutorials
14:54:04 Merging DataFrames in Pandas | Python Pandas Tutorials
15:16:13 Creating Visualizations using Pandas Library | Python Pandas Tutorials
15:33:02 Data Cleaning in Pandas | Python Pandas Tutorials
16:11:39 Exploratory Data Analysis in Pandas | Python Pandas Tutorials
16:43:52 Amazon Web Scraping Using Python | Data Analyst Portfolio Project
17:31:03 Automating Crypto Website API Pull Using Python | Data Analyst Project
18:22:13 How to Create a Portfolio Website
18:57:39 Create the Perfect Data Analyst Resume
19:15:16 Top 3 Tips on Using LinkedIn to Land a Job
19:22:05 Get Your Data Analyst Bootcamp Certification

wisdom
2 Views · 6 months ago

"️🔥IBM - Data Analyst - https://www.simplilearn.com/data-analyst-certification-course?utm_campaign=OOWAk2aLEfk&utm_medium=DescriptionFFF&utm_source=Youtube
️🔥IITG - Professional Certificate Program in Data Analytics & Generative AI - https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=OOWAk2aLEfk&utm_medium=DescriptionFFF&utm_source=Youtube
️️🔥 IIT Delhi - Data Analytics, Generative AI And Adaptive System - https://www.simplilearn.com/ihfc-iitd-data-analytics-genai-course?utm_campaign=OOWAk2aLEfk&utm_medium=DescriptionFFF&utm_source=Youtube
️🔥PL-300 Microsoft Power BI Certification Training with Exam - https://www.simplilearn.com/power-bi-certification-training-course?utm_campaign=OOWAk2aLEfk&utm_medium=DescriptionFFF&utm_source=Youtube
️🔥Tableau Desktop Specialist Certification Training - https://www.simplilearn.com/tableau-training-and-data-visualization-course?utm_campaign=OOWAk2aLEfk&utm_medium=DescriptionFFF&utm_source=Youtube"

This Excel Data Analytics Full Course video will help you understand the various crucial functions available in Excel, such as lookup, H lookup, sumif/s, counif/s, if error, and others. Finally, you will see how to use the Data Analysis Toolpak to perform various data analysis operations. So, let's begin.

00:00:00 Basic of excel data analysis
00:04:20 Lookup & functions in excel data analysis
01:37:58 Conditional formating in excel data analysis
01:54:30 Data validation in excel data analysis
02:36:30 Sorting and filtering in excel data analysis
03:23:55 Data analysis using toolpak in excel data analysis

Dataset Link: https://drive.google.com/drive..../folders/1U8CF0Xx3Ni

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out the Business Analytics tutorial videos: https://bit.ly/3hQFfDP

#DataAnalyticsInExcel #DataAnalyticsInExcelFullCourse #DataAnalyticsWithExcel #DataAnalyticsUsingExcel #DataAnalyticsCourse #DataAnalyticsCourseForBeginners #ExcelForDataAnalysis #ExcelForBeginners #ExcelBasicsForBeginners #ExcelTutorial #ExcelTutorialForBeginners #BusinessAnalystCourse #BusinessAnalyst #BusinessAnalytics #Simplilearn

What is Microsoft Excel?
Excel is one of the best applications available for creating spreadsheets to crunch numbers and dashboard reports and storing and administering data. This software first appeared on the scene back in 1987, and since then it has grown to become one of the most popular pieces of software for home or business. Excel can be used for data entry to store data in the form of a table, such as recording your daily expenses or business expenditure. It can also be used for inventory management.

✅ Professional Certificate Program In Data Analytics:

This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

✅ Key Features:

- Professional Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
-
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

Learn more at: https://www.simplilearn.com/ihfc-iitd-data-analytics-genai-course?utm_campaign=DataAnalytics-OOWAk2aLEfk&utm_medium=Description&utm_source=youtube

wisdom
26 Views · 6 months ago

Welcome to our Excel Full Course for Data Analysis with Projects! In this in-depth tutorial, we explore the powerful capabilities of Excel for data analysis, providing you with valuable skills to excel in the world of data-driven decision-making. With a runtime of 2 hours, this tutorial covers essential techniques and features, along with hands-on projects to reinforce your learning. Whether you're a beginner or looking to enhance your Excel skills, join us for this comprehensive Excel tutorial in 2025 and unlock the potential of data analysis.

👉 🚀 Want to build a future-proof career in Data Analytics?
Join our Data Analytics Mentorship Program and gain hands-on skills, real-world projects, and 100% placement assistance.
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👉 Take a look at the module for the course: https://drive.google.com/file/....d/1TcZGAMy1RuSQu6-YT

👉 Datasets: https://github.com/Ayushi0214/PowerBI-Datasets

👉 Power BI Full Course - FREE - https://youtu.be/-iu90bMENig

WsCube Tech is a leading Web, Mobile App & Digital Marketing company, and institute in India.

We help businesses of all sizes to build their online presence, grow their business, and reach new heights.

👉For Digital Marketing services (Brand Building, SEO, SMO, PPC, SEM, Content Writing), Web Development and App Development solutions, visit our website: https://www.wscubetech.com/

👉Want to learn new skills and improve existing ones with in-depth and practical sessions? Enroll in our advanced online courses now and make yourself job-ready: https://courses.wscubetech.com/s/store

All the courses are job-oriented, up-to-date with the latest algorithms and modules, fully practical, and provide you hands-on projects.

👉 Want to learn and acquire skills in English? Visit WsCube Tech English channel: https://bit.ly/2M3oYOs

Video Chapters
00:00:00 - Excel Introduction
00:01:28 - Introduction to MS Excel and Beginner's Guide
00:12:01 - Basic Functions of Excel
00:16:24 - Basics of Formatting in Excel
00:21:11 - Sorting Data in Excel - Different Methods to Sort
00:27:57 - Filtering Data in Excel
00:33:56 - Basics of Formula/Functions
00:39:22 - Text Functions in Excel
00:49:43 - sIf, AND and OR Functions in Excel
00:57:08 - Date & Time Functions in Excel
01:04:01 - COUNTIF, COUNTIFS, SUMIF, SUMIFS - Functions in Excel
01:10:38 - Data Validation in Excel
01:18:42 - Vlookup in Excel
01:28:43 - Hlookup in Excel
01:30:51 - Lookup in Excel
01:37:07 - Xlookup in Excel
01:44:25 - Index+Match in excel
01:49:14 - Using Conditional Formatting
01:56:32 - Macros in Excel
02:01:08 -Summarizing Data with Pivot Tables
02:07:33 - Working with Slicers
02:11:52 - Power Query in Excel
02:21:50 - Power Pivot in Excel
02:33:14 - Visualizing Data with Charts
02:39:31 - Excel Dashboard

📞 For more info about the courses, call us: +91-7878985501, +91-9269698122

✅ CONNECT WITH THE FOUNDER (Mr. Kushagra Bhatia) -
👉 Instagram - https://www.instagram.com/kushagrabhatiaofficial
👉 LinkedIn - https://www.linkedin.com/in/kushagra-bhatia
👉 Facebook - https://www.facebook.com/kushagrawscubetech


Connect with WsCube Tech on social media for the latest offers, promos, job vacancies, and much more:
😄 Facebook: https://www.facebook.com/wscubetech.india
🐦 Twitter: https://twitter.com/wscubetechindia
📱 Instagram: https://www.instagram.com/wscubetechindia/
👨🏻‍💻 LinkedIn: https://www.linkedin.com/company/wscubetechindia/
🔺 Youtube: http://bit.ly/wscubechannel
🌐 Website: http://wscubetech.com
--------------------------------------| Thanks |---------------------------
#exceltutorial #dataanalysis #excel

wisdom
2 Views · 6 months ago

Want to become a Data Analyst, Data Scientist, or GenAI Engineer?
Service Enquiry Form : https://www.proitbridge.com/contact-us-2/
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

🔗 Resource Links:

1. Excel Full Course - https://youtu.be/pCJ15nGFgVg?si=C1GXWHGzuT7drc1v

2. SQL Full Course - https://youtu.be/7mz73uXD9DA?si=EMUYu_QUrzQ09yNs

3. PowerBI - https://alison.com/course/intr....oduction-to-data-ana

4. Python for Data Science and Statistics - https://youtu.be/wCpyh_xk9FM?si=VQyLAuBDj5kW_-E_

5. GenAI Full Course - https://youtu.be/nJ25yl34Uqw?si=plHFIruJKCGOTbyB

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

📲 Connect with Me:
✔ Instagram: https://www.instagram.com/john_the_ai_coach/
✔ LinkedIn: https://www.linkedin.com/in/johngabrielcareerbuildingcoach?utm_source=share&utm_campaign=share_via&utm_content=profile&utm_medium=android_app
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Unlock your data analytics career with these 5 FREE courses! Whether you’re a complete beginner or looking to advance your skills, these courses cover everything from Excel, SQL, Python, Power BI, and more. Start learning today and become a data-driven professional without spending a dime!

✅ What you’ll learn:
Data analysis fundamentals for beginners
Advanced data manipulation techniques
Data visualization with tools like Power BI & Tableau
SQL for data extraction & reporting
Python for data analysis and automation

🎯 Who is this for:
Beginners interested in data analytics
Students and professionals wanting to upskill
Anyone aiming for a career in Data Science, Business Analysis, or Analytics

--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
📢 Don't forget to Like 👍, Comment 💬 & Subscribe 🔔 for more career insights!
📤 Share this podcast with friends and colleagues who want to break into the world of data science and succeed in the future job market.

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wisdom
3 Views · 6 months ago

Part 2 to this Video - ChatGPT Updates 👉 https://youtu.be/8qWtU51lxpM?si=yxApAe02hUGMybc9
Support the Course & Earn a Certificate 👉 https://lukeb.co/ChatGPT_Extras

My FREE Course to be a Data Analyst 👉 https://lukebarousse.com/5daycourse

🔑 Primary Resources for the Course
============================
💽 Job Posting Data Set: https://lukeb.co/FreeData
🤖 Course Chatbot: https://lukeb.co/chatgpt_chatbot
🔢 My Custom Instructions: https://lukeb.co/chatgpt_custom_instructions
📝 Sign up to get my ChatGPT cheat sheet: https://lukebarousse.com/

1️⃣ Intro to ChatGPT
================
0:00:00 Intro
0:02:22 Options and Setup
- Sign up to ChatGPT: https://openai.com/chatgpt
- Access ChatGPT: https://chat.openai.com/
0:06:59 Walkthrough
- Course ChatBot: Data Analytics: https://lukeb.co/chatgpt_chatbot
0:11:56 Prompting
0:16:29 Settings
- Custom Instructions: https://lukeb.co/chatgpt_custom_instructions_v1
0:20:41 Images
- Pictures for Image: https://lukeb.co/chatgpt_images

2️⃣ Intro to Advanced Data Analysis
===========================
0:26:39 Chapter Intro
0:28:29 ADA Timeout Issues
0:30:01 ADA Intro
- Kaggle Job Posting Data Set: https://lukeb.co/FreeData
- Chat History: https://lukeb.co/chat_ADA
0:37:48 Connecting to Data Sources
0:41:02 Exploring Data Set
0:45:54 Cleaning Data
0:47:57 Visualizing Data
0:52:19 Predicting Data
0:59:31 Data Set Limitations and Security
- Large File: https://lukeb.co/chatgpt_large_file
1:02:01 Chapter Outro

3️⃣ Basic Analysis
==============
1:03:30 Chapter Intro
- Kaggle Job Posting Data Set: https://lukeb.co/FreeData
1:07:15 Core Visualization
- Custom Instructions: https://lukeb.co/chatgpt_custom_instructions_v2
1:16:36 Statistical Visualizations
1:27:15 Visualization Best Practices
- The Book Every Data Analyst Should Read: https://www.youtube.com/watch?v=09JnFEdZe2A&t=494s&ab_channel=LukeBarousse
- Visual Vocabulary: https://www.tableau.com/soluti....ons/gallery/visual-v
1:38:37 Numerical Data
1:45:51 Categorical Data
1:50:34 Types of Data Analytics
- Types of Analytics: https://lukeb.co/4types_analytics
1:54:50 Descriptive Analysis
1:59:13 Diagnostic Analysis
2:05:04 Predictive Analysis
2:09:12 Prescriptive Analysis

4️⃣ Advanced ChatGPT
==================
2:13:04 Chapter Intro
2:18:19 Hallucinations
2:25:57 Prompting Best Practices
- Prompt Formula by Jeff Su - https://www.youtube.com/watch?v=jC4v5AS4RIM&ab_channel=JeffSu
2:33:23 Custom Instructions
- Custom Instructions: https://lukeb.co/chatgpt_custom_instructions
2:39:10 GPTs
- Course Chatbot: https://lukeb.co/chatgpt_chatbot

5️⃣ Intro to Plugins
===============
2:47:43 Chapter Intro
2:53:26 Browse with Bing
2:58:38 Time-Saver Plugins
3:03:38 Wolfram Plugin
3:08:20 DALL-E - Image Generation

6️⃣ Data Collection
===============
3:13:29 Chapter Intro
3:17:03 Public Data Sets
- Kaggle: https://www.kaggle.com/dataset....s/lukebarousse/data-
- Github: https://github.com/awesomedata..../awesome-public-data
- Reddit: https://www.reddit.com/r/datasets/
- Google: https://datasetsearch.research.google.com/
3:21:10 Web Scraping Intro
- Glassdoor: https://www.glassdoor.com/Job/index.htm
3:30:23 Web Scraping Advanced
- Building a bot to scrape job data - https://youtu.be/1kU_ASADlPY
3:34:02 Course Wrap-up

Social Media / Contact Me
======================
📫Newsletter: https://www.lukebarousse.com/
👨🏼‍💼 Linkedin: https://www.linkedin.com/in/luke-b/
🅧 X/Twitter: https://twitter.com/LukeBarousse
🌄 Instagram: https://www.instagram.com/lukebarousse/
⏰ TikTok: https://www.tiktok.com/@lukebarousse

#datanerd #dataanalyst #chatgpt

wisdom
5 Views · 6 months ago

Want to learn how to perform data analysis in Excel from beginning to end? This is the video!

In this video, you are going to learn:
1) how to structure your data with Excel tables
2) data cleaning in Excel
3) how to use pivot tables for doing trend analysis
4) using advanced formulas in Excel (SUMIFS, COUNTIFS, FILTER)
5) conditional formatting in excel
6) interactive reports with slicers in excel
7) answering business questions with your data
8) how to approach data analysis problems

📁 Sample data file:
https://chandoo.org/wp/wp-cont....ent/uploads/2024/03/

💻 Want more?
Please join my Excel School course and learn Excel for MIS / Data Analysis / Dashboard related work. https://chandoo.org/wp/excel-school-program/

#Excel

wisdom
2 Views · 6 months ago

"️🔥IBM - Data Analyst - https://www.simplilearn.com/data-analyst-certification-course?utm_campaign=oQmxQh92Nh8&utm_medium=DescriptionFFF&utm_source=Youtube
️🔥IITG - Professional Certificate Program in Data Analytics & Generative AI - https://www.simplilearn.com/iitk-professional-certificate-course-data-analytics?utm_campaign=oQmxQh92Nh8&utm_medium=DescriptionFFF&utm_source=Youtube
️️🔥 IIT Delhi - Data Analytics, Generative AI And Adaptive System - https://www.simplilearn.com/ihfc-iitd-data-analytics-genai-course?utm_campaign=oQmxQh92Nh8&utm_medium=DescriptionFFF&utm_source=Youtube
️🔥PL-300 Microsoft Power BI Certification Training with Exam - https://www.simplilearn.com/power-bi-certification-training-course?utm_campaign=oQmxQh92Nh8&utm_medium=DescriptionFFF&utm_source=Youtube
️🔥Tableau Desktop Specialist Certification Training - https://www.simplilearn.com/tableau-training-and-data-visualization-course?utm_campaign=oQmxQh92Nh8&utm_medium=DescriptionFFF&utm_source=Youtube"

Data analytics has been rapidly growing, with companies looking to generate insights and drive their business with the help of data. In this Data Analytics Full Course video, you will learn what data analytics is, why data analytics is necessary, the types of data analytics, and the various data analytics applications. You will then understand a case study and perform analysis of data using Python and R. In addition to that; we will see the top 10 data analysis tools and understand the difference between a data scientist and a data analyst. Finally, we’ll see the top interview questions that will help you crack a data analyst interview.

Dataset Link - https://drive.google.com/drive..../folders/1U8CF0Xx3Ni

00:00:00 What is Data Analytics
00:05:21 Types of data Analytics
00:11:58 Why Data Analytics
00:17:17 Data Analytics using Python
02:01:29 Data Analytics using R
02:34:22 Data Analysis Tools
02:53:20 Data Analytics Jobs, Career and Salary
03:18:41 Data Scientist vs Data Analyst
03:30:19 Data Analyst Interview Questions

⏩ Check out the Data Analytics Playlist: link: https://www.youtube.com/playli....st?list=PLEiEAq2VkUU

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➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 8X higher live interaction in live online classes by industry experts
- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
-
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Resume preparation and LinkedIn profile building
- 1:1 mock interview
- Career accelerator webinars

✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

👉Learn more at: https://www.simplilearn.com/data-analyst-certification-course?utm_campaign=DataAnalytics&utm_medium=Description&utm_source=youtube

wisdom
2 Views · 6 months ago

Data Analyst in Python by DataCamp: https://datacamp.pxf.io/raO5vj
Data Analyst Certification by DataCamp: https://datacamp.pxf.io/Z6Bg2K

Portfolio, Projects, Resume, Courses & Certifications, Newsletter
https://mochen.info

Sponsorships: https://mo-chen.notion.site/partnerships

Hi, I'm Mo! I'm a Data & Analytics Manager. I'm all about turning complex, big data into insights and actions. I am not interested in building yet another dashboard that nobody looks at - I'm interested in solving the most challenging business problems using data.

=========================================================

VIDEO SUMMARY
I'll show you how to gain the skills needed for a data analyst job in the fastest possible way, and I'll also show you how to create a job application strategy that will actually land you your next role. I’ll cover technical skills, data portfolios, and job application strategies in a way that you can implement actionable next steps.

COURSES & CERTIFICATES
Get 25% OFF DataCamp's Courses & Certificates: https://datacamp.pxf.io/DataCampMoChen

INDUSTRY RECOGNIZED CERTIFICATIONS
Data Analyst Certification Program: https://datacamp.pxf.io/dataAnalystCertDataCamp
PowerBI Data Analyst Certification Program: https://datacamp.pxf.io/PowerBIDataAnalyst
Data Scientist Certification Program: https://datacamp.pxf.io/DataScientistCert
SQL Associate Certification Program: https://datacamp.pxf.io/SQLAssociateCert

TOP DATA ANALYST COURSES
Data Analyst with Python: https://datacamp.pxf.io/dataAnalystWithPython
Data Analyst with PowerBI: https://datacamp.pxf.io/dataAnalystPowerBIMoChen
Associate Data Analyst in SQL: https://datacamp.pxf.io/AssociateDataAnalystSQL

TOP DATA SCIENTIST COURSES
Associate Data Scientist in Python: https://datacamp.pxf.io/Associ....ateDataScientistPyth
Associate Data Scientist in R: https://datacamp.pxf.io/AssociateDataScientistR

TOP DATA ENGINEER COURSES
Data Engineer in Python: https://datacamp.pxf.io/DataEngineerInPython

TOP BUSINESS INTELLIGENCE COURSES
PowerBI Fundamentals: https://datacamp.pxf.io/PowerBIFundamentals
Tableau Fundamentals: https://datacamp.pxf.io/TableauFundamentals

TOP PROGRAMMING LANGUAGE COURSES
Python Fundamentals for Data Science: https://datacamp.pxf.io/Python....FundamentalsDataScie
Python Fundamentals for Programming: https://datacamp.pxf.io/Python....FundamentalsProgramm
SQL Fundamentals: https://datacamp.pxf.io/SQLFundamentals
R Programming Fundamentals: https://datacamp.pxf.io/RFundamentals

TOP AI COURSES
AI Engineer for Developers Course: https://datacamp.pxf.io/AIEngineerDevelopers
AI Engineer for Data Scientists Course: https://datacamp.pxf.io/AIEngineerDataScientists
Developing AI Applications Course: https://datacamp.pxf.io/AIApplications

TIMESTAMPS
00:00 Overview of 3 main topics
00:41 Which technical skills to master and how
03:57 How to build a data portfolio that stands out
05:33 How to create a job application strategy that actually works

wisdom
2 Views · 6 months ago

Learn Data Analysis with Python in this comprehensive tutorial for beginners, with exercises included!
NOTE: Check description for updated Notebook links.

Data Analysis has been around for a long time, but up until a few years ago, it was practiced using closed, expensive and limited tools like Excel or Tableau. Python, SQL and other open libraries have changed Data Analysis forever.

In this tutorial you'll learn the whole process of Data Analysis: reading data from multiple sources (CSVs, SQL, Excel, etc), processing them using NumPy and Pandas, visualize them using Matplotlib and Seaborn and clean and process it to create reports.
Additionally, we've included a thorough Jupyter Notebook tutorial, and a quick Python reference to refresh your programming skills.

💻 Course created by Santiago Basulto from DataWars
🔗 Check out all Data Science courses from DataWars: https://datawars.io/ref=fcc

⚠️ Note: Instead of loading the notebooks on notebooks.ai, you should use Google Colab instead. Here are instructions on loading a notebook directly from GitHub into Google Colab: https://colab.research.google.....com/github/googlecol

❤️ Try interactive Python courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from our friends at Scrimba)

 ⭐️ Course Contents ⭐️
⌨️ Part 1: Introduction
What is Data Analysis, why Python?, what other options are there? what's the cycle of a Data Analysis project? What's the difference between Data Analysis and Data Science?
🔗 Slides for this section: https://docs.google.com/presen....tation/d/1XXhVx2a7z2

⌨️ Part 2: Real Life Example of a Python/Pandas Data Analysis project (00:11:11)
A demonstration of a real life data analysis project using Python, Pandas, SQL and Seaborn. Don't worry, we'll dig deeper in the following sections
🔗 Notebooks: https://github.com/rmotr-curri....culum/FreeCodeCamp-P

⌨️ Part 3: Jupyter Notebooks Tutorial (00:30:50)
A step by step tutorial to learn how to use Juptyer Notebooks
🔗 Twitter Cheat Sheet: https://twitter.com/rmotr_com/....status/1122176794696
🔗 Notebooks: https://github.com/rmotr-curri....culum/ds-content-int

⌨️ Part 4: Intro to NumPy (01:04:58)
Learn why NumPy was such an important library for the data-processing world in Python. Learn about low level details of computations and memory storage, and why tools like Excel will always be limited when processing large volumes of data.
🔗 Notebooks: https://github.com/rmotr-curri....culum/freecodecamp-i

⌨️ Part 5: Intro to Pandas (01:57:08)
Pandas is arguably the most important library for Data Processing in the Python world. Learn how it works and how its main data structure, the Data Frame, compares to other tools like spreadsheets or DFs used for Big Data
🔗 Notebooks: https://github.com/rmotr-curri....culum/freecodecamp-i

⌨️ Part 6: Data Cleaning (02:47:18)
Learn the different types of issues that we'll face with our data: null values, invalid values, statistical outliers, etc, and how to clean them.
🔗 Notebooks: https://github.com/rmotr-curri....culum/data-cleaning-

⌨️ Part 7: Reading Data from other sources (03:25:15)
🔗 Notebooks: https://github.com/rmotr-curri....culum/RDP-Reading-Da

⌨️ Part 8: Python Recap (03:55:19)
If your Python or coding skills are rusty, check out this section for a quick recap of Python main features and control flow structures.
🔗 Notebooks: https://github.com/rmotr-curri....culum/ds-content-pyt

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

wisdom
4 Views · 6 months ago

Learn Excel step-by-step for data analysis and real-world analyst tasks in this complete tutorial designed for beginners and aspiring professionals. If you want to Learn Excel for Data Analyst Jobs, this course will guide you through the essential tools, formulas, and techniques used by data analysts in companies today.

This video is built as a practical roadmap to help you Learn Excel for Data Analyst Jobs by focusing on the most important Excel functions used in analytics. You will understand how to clean data, analyze datasets, create summaries with pivot tables, and build charts to present insights clearly.

Whether you are a student, job seeker, or professional switching careers, this tutorial will help you Learn Excel for Data Analyst Jobs and build the foundational Excel skills required for data analytics roles.

📖 Below are the topics covered in this 'Excel For Data Analytics Full Course' video:
00:00:00 - Introduction to Excel
00:51:38 - COUNTIF Functions
01:13:43 - Text Functions
01:53:03 - Logical Functions
02:45:22 - Lookup Functions
03:37:41 - Pivot Tables
04:14:56 - Conditional Formatting
04:48:17 - Charts

#excelfullcourse #exceltutorial #excelfordataanalysis #dataanalysis #intellipaat

🔥 Checkout Intellipaat's Data Analytics Training Program: https://intellipaat.com/data-a....nalytics-master-trai

➡️ About the Course
The growing need for data-driven decision-making in competitive businesses has resulted in a notable increase in the demand for skilled Data Analysts. This course covers an in-depth understanding of data analysis, including machine learning algorithms, statistical techniques, optimization techniques, and data visualization.

✅ Key Features - (Course Features)
👉🏼 50+ Live sessions across 7 months
👉🏼 218 Hrs of Self-paced tutorial videos
👉🏼 Get 200 Hrs of Project & Exercises
👉🏼 Learn from industry professionals and IIT Faculty
👉🏼 1-on-1 sessions with industry mentors
👉🏼 LinkedIn profile review and resume assistance
👉🏼 24*7 Support
👉🏼 No-cost EMI Option

➡️ What’s Covered in This Program? -
This data analytics program covers multiple courses that altogether cover a complete data analytics tech stack:
✅ Course 1: Linux and Python Fundamentals
✅ Course 2: Data Wrangling with SQL
✅ Course 3: Statistics And Probability
✅ Course 4: Machine Learning
✅ Course 5: Performance Metrics
✅ Course 6: Time Series Forecasting
✅ Course 7: Data Modeling
✅ Course 8: Microsoft Excel
✅ Course 9: Visualizations using Power BI

📌 Do subscribe to Intellipaat channel & come across more relevant Tech content: https://goo.gl/hhsGWb

▶️ Intellipaat Achievers Channel: https://www.youtube.com/@intellipaatachievers

📚For more information, please write back to us at sales@intellipaat.com or call us at IND: 7847955955 / USA: 1-800-216-8930

wisdom
3 Views · 6 months ago

📲 Curious about a career in Data Analytics? Book a call with a program advisor: https://bit.ly/47LEBk3

What exactly is data analytics? What would you be doing as a data analyst, and what kind of hard and soft skills do you need to start learning? In this video introduction, we give you a simple overview of data analytics, and detail some tangible examples of what the role involves!

In this video, William guides you through the term data analytics, introducing some of the key terminology, responsibilities and tasks that a data analyst would undertake on a day-to-day basis.

If you’re interested in learning more about data analytics, you can check out CareerFoundry’s detailed article on the topic here: http://bit.ly/What_Is_Data_Analytics

We also have a fantastic, free short course, to help give you a flavor of the profession. Sign up here: http://bit.ly/Become_A_Data_Analyst

For more weekly content, subscribe to our YouTube channel here: https://www.youtube.com/user/c....areerfoundry?sub_con

What more do you want to see from us on data analytics? What videos can we make regarding the topic? Let us know in the comments!

Video timestamps / chapters:

(00:00) Introduction
(00:41) What is data analytics
(01:49) What are data analytics used for?
(02:45) What does a data analyst do?
(04:06) Typical process of a data analyst
(06:38) The skills needed to become a data analyst
(08:12) Outro

We hope you enjoyed the video, thanks for watching!

#DataAnalytics #Data #DataAnalyst

Want more from CareerFoundry? Check out our other social media channels and blog here:
🔍 https://linktr.ee/CareerFoundry​

For more information on our courses, visit us at:
🖥 https://careerfoundry.com/

Data Analytics For Beginners - An Introduction (2021):
https://youtu.be/yZvFH7B6gKI

wisdom
1 Views · 6 months ago

Data Analyst Roadmap 2026. A data analyst career path can be broken down into 3 simple steps with timelines so that it's easy to follow for an entry-level data analyst. Curious about how to become a data analyst? Use this video as a reference to start your Data Analyst journey and answer data analytics important questions such as what data analyst skills (SQL, Microsoft Excel, Tableau, Data Visualization, Python) you should learn and what steps you should take for your data analytics portfolio. This video is good for a data analyst beginner interested in learning how to get a job as a data analyst, the day in the life of a data analyst, and what the analyst career path is.

📚 Resources
Excel: https://imp.i384100.net/jr6oAP
SQL (I've personally used DataCamp to learn SQL): https://datacamp.pxf.io/zNJ6xW
Get 25% off DataCamp using my link: https://datacamp.pxf.io/xkW3B1
Tableau: https://imp.i384100.net/xkoGb5
Python: https://imp.i384100.net/Gmdz5m
Google Data Analytics Certificate: https://imp.i384100.net/9gqYQy
Interview Query: https://shorturl.at/lyLNT

🖥️ My Desk Setup: https://www.amazon.com/shop/influencer-a81a3263

🙆🏻‍♀️ Connect
📫 Newsletter w/ Free Resume Template: https://learn.agathakang.com/resume
📸 Instagram: https://instagram.com/agathaakang
🔗 LinkedIn: https://www.linkedin.com/in/agatha-kang/

Business inquiries: info@agathakang.com

📄 ABOUT ME:
My mission is to help you grow your career, especially in the world of data analysis. Switching careers to become a data analyst from a non-tech background was overwhelming. I made a lot of mistakes and wasted time trying to figure it out. But having been a manager of data analytics and now a senior business intelligence engineer in tech (FAANG), I've learned a lot and I'm excited to use my experiences to help you navigate your career path. I hope this channel gives you the clarity and motivation to get started!

⌚️Timestamps
00:00 - Intro
00:29 - Roadmap
01:18 - Skills
01:55 - Excel
03:26 - SQL
04:48 - Tableau
05:44 - Projects
07:45 - Job Applications
08:50 - Outro

Content is for educational and entertainment purposes only. Some links are affiliate links that support the channel at no cost to you. As an Amazon Associate I earn from qualifying purchases. Thanks for your support!

wisdom
2 Views · 6 months ago

👉 MENTORSHIP – Ready to become a standout data analyst? Applications for the March 2026 cohort are now open!
Apply here → https://theanalyticsaccelerator.com/

🎁 2026 Roadmap - Get the expanded roadmap with links to resources and a month-by-month breakdown here → https://analyticsaccelerator.kit.com/roadmap

ABOUT THIS VIDEO

The data analyst advice you've been following is outdated.

After mentoring hundreds of people into data roles at Uber, Peloton, and Grubhub, I've learned what actually gets you hired in 2026 - and it's not just "learn SQL and hope for the best."

In this video, I'm breaking down:

• The 4 differentiating factors most tutorials ignore (domain knowledge, technical ecosystem, soft skills, clear purpose)
• The leanest tech stack you actually need: Excel, SQL, Tableau/Power BI (spoiler: probably not Python)
• Why your career background in consulting, marketing, finance, or operations is your biggest competitive advantage
• Portfolio projects that showcase real business impact vs generic Kaggle datasets
• Job search strategies and networking tips that beat cold applying every time
• Interview preparation tactics to level up with each round

Whether you're a self-taught data analyst looking to break into data analytics or making a career change to data, this roadmap will show you how to land your first data analyst job with fewer applications and a higher salary.

ABOUT ME
If we haven’t met yet - hi! I’m Christine, a former data director and hiring manager helping ambitious career transitioners and recent grads land their first job as a data analyst. I'll be sharing the insights and strategies that empowered over 70% of job-hunting students in the first cohort of my mentorship program landed their first data job within 6 months, in today's super-competitive job market.

If you want to become a standout data analyst through applied business skills, soft skills, and strategies for every part of the job hunt process - so that you can have confidence, professional leverage, and bring real impact to work - connect below for more insights and future workshops!

LINKS
- Get more tips in my newsletter - https://the-analytics-accelerator.kit.com/join
- Apply to the next cohort - https://theanalyticsaccelerator.com/
- Follow on LinkedIn - https://linkedin.com/in/christine-jiang
- Instagram - https://instagram.com/cjiaang (my photography, because why not)

Timestamps:
0:00 - Introduction
0:56 - The 4 Differentiators in 2026
3:09 - Months 1–3: Gain Technical Skills
5:10 - Months 2–4: Build Business Relevant Projects
6:59 - Months 4+: Job Hunt Strategy
11:43 - Months 4+: Interview Like an Analyst

Video URL: https://youtu.be/hGCKdMsfU7g

wisdom
20 Views · 6 months ago

Go from zero to a data analyst in 8-16 months. This step-by-step roadmap covers the essential skills you must learn to become a data analyst in 2024.

👉 Download the FREE roadmap PDF here: https://mosh.link/data-analyst-roadmap

✋ Stay connected

- Complete courses: https://codewithmosh.com
- Twitter: https://twitter.com/moshhamedani
- Facebook: https://www.facebook.com/programmingwithmosh/
- Instagram: https://www.instagram.com/codewithmosh.official/
- LinkedIn: https://www.linkedin.com/school/codewithmosh/

📚 Tutorials

https://youtu.be/_uQrJ0TkZlc?si=ZhlCrQs1SkaPNVa8
https://youtu.be/8JJ101D3knE?si=OGTuS35LQqSunuhh
https://youtu.be/7S_tz1z_5bA?si=QL7s_M2Ao90RDwG8

📖 Chapters

00:00 - Introduction
00:20 - Mathematics & Statistics
00:42 - Excel
00:59 - SQL
01:18 - Python
01:41 - Git
02:23 - Data Collection and Preprocessing
02:39 - Data Visualization
03:07 - Machine Learning Fundamentals
03:26 - Big Data

#dataanalyst #datascience #machinelearning

wisdom
3 Views · 6 months ago

Data Analytics Professional Certificate Complete Courses.
https://www.youtube.com/playli....st?list=PLtS8Ubq2bIl

Course Material : https://mega.nz/file/zJphgZpR#....ay5mBgZVUbfJHomS2_z2

---------- TIME STAMP ----------------

INTRODUCTION DATA ANALYTICS
0:00:00 Welcome to the Google Data Analytics
0:09:18 Introduction to the Course
0:14:18 Data analytics in everyday life
0:18:25 Cassie Dimensions of data analytics
0:23:21 What is the data ecosystem
0:28:07 How data informs better dicisions
0:32:08 What to expect moving forward

ALL ABOUT ANANLYTICS THINKING
0:33:41 Discovering data skill sets
0:34:27 Key data analyst skills
0:40:37 All about thinking analytically
0:45:40 Exploring core analytical skills
0:50:10 Using data to drive successful outcomes
0:55:07 Real-world data magic

THE WONDERFUL WORLD OF DATA
1:00:49 Learning about data phases and tools
1:03:03 phases of the data life cycle
1:07:48 Six Phases of data analytisis
1:14:24 Molly Example of the data process
1:20:38 Exploring data analyst tools

SET UP YOU TOOLBOX
1:26:47 The ins and outs of core data tools
1:28:49 Columns and rows and cells, oh my!
1:38:29 SQL in action
1:41:54 Angie Everyday Struggles when learning new skills
1:43:50 Becoming a data viz whiz
1:49:45 Lilah the power of a visualizaition

ENDLESS CAREER POSSIBILITIES
1:51:46 Evan How to access Qwiklabs
1:53:51 Evan Hands-on with Qwiklabs
1:58:00 Evan How to get chat support in a Qwiklab
1:59:24 Let's get down to business
2:00:14 The Job of a data analyst
2:04:47 Joey Path to becoming a data analyst
2:06:50 Tony Supporting careers in data analytics
2:09:10 The Power of data in business
2:13:21 Rachel data detectives
2:15:24 Understand data and fairness
2:20:30 Alex Fair and Ethical data decisions
2:23:31 Data analysts in different industries
2:29:30 Samah Interview best practices
2:32:07 Weekly Wrap-up
2:32:33 Congrats Course wrap-up



This is the first course in the Google Data Analytics Certificate. These courses will equip you with the skills you need to apply to introductory-level data analyst jobs. Organizations of all kinds need data analysts to help them improve their processes, identify opportunities and trends, launch new products, and make thoughtful decisions. In this course, you’ll be introduced to the world of data analytics through hands-on curriculum developed by Google. The material shared covers plenty of key data analytics topics, and it’s designed to give you an overview of what’s to come in the Google Data Analytics Certificate. Current Google data analysts will instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.

Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary.

By the end of this course, you will:
- Gain an understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job.
- Learn about key analytical skills (data cleaning, data analysis, data visualization) and tools (spreadsheets, SQL, R programming, Tableau) that you can add to your professional toolbox.
- Discover a wide variety of terms and concepts relevant to the role of a junior data analyst, such as the data life cycle and the data analysis process.
- Evaluate the role of analytics in the data ecosystem.
- Conduct an analytical thinking self-assessment.
- Explore job opportunities available to you upon program completion, and learn about best practices in the job search.

⌨️ The creator of this course is Google ( Team: Grow with Google )
⌨️ For earning certificate https://www.coursera.org

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wisdom
2 Views · 6 months ago

In this video, I talk share some insights around platforms where you can access free data analyst courses.

Time codes
0:00 - Intro
0:56 - platform 5
1:39 - platform 4
2:27 - platform 3
3:36 - platform 2
4:47 - platform 1

Platforms
https://coursera.org
https:/edx.org
https://docs.microsoft.com/en-us/learn/
https://freecodecamp.org
https://exercism.org


Resources
Edx - Free
Analyzing Data with Excel - https://bit.ly/3aYhcAQ
Data Processing and Analysis with Excel - https://bit.ly/3m05QCL

Coursera Data Analyst Certificates - Paid
Google Data Analyst Certificate - https://coursera.pxf.io/yRPM1N
IBM Data Analyst Certificate - https://coursera.pxf.io/e45z71

Coursera Excel Specializations - Paid
Excel Skills for Business Specialization - https://coursera.pxf.io/vn9MdL
Excel Skills for Data Analytics and Visualization Specialization - https://coursera.pxf.io/4ex9V3
Excel Skills for Business Forecasting Specialization - https://coursera.pxf.io/Kevbbe

LearnSQL - Paid
SQL Fundamentals - https://bit.ly/3K940IP (5% Discount code --- lsql-5z24dg)

PS - Will earn a small commission when you use the paid links but at no extra cost to you. Thanks for supporting the channel :)

Contact Me /Social Media
======================
📥 Email: theworklifeman@gmail.com
📸Instagram: https://www.instagram.com/walegbads/

wisdom
1 Views · 6 months ago

This video is specifically for anyone who is new to the data analysis field and looking to have an idea of what competences are required.
Included are some free courses, mostly from edx.org. These courses should get you started before moving on to more advance course.

PS: This is a beginner video and not suitable for intermediate or advanced data analyst.

Time codes
0:00 Beginner guide intro
1:25 Why excel is important
3:11 What are databases
4:10 Types of visualization
5:06 Statistics in data science
7:34 Practice datasets

Resources
Edx - Free
Analyzing Data with Excel - https://bit.ly/3aYhcAQ
Data Processing and Analysis with Excel - https://bit.ly/3m05QCL

Coursera Data Analyst Certificates - Paid
Google Data Analyst Certificate - https://coursera.pxf.io/yRPM1N
IBM Data Analyst Certificate - https://coursera.pxf.io/e45z71

Coursera Excel Specializations - Paid
Excel Skills for Business Specialization - https://coursera.pxf.io/vn9MdL
Excel Skills for Data Analytics and Visualization Specialization - https://coursera.pxf.io/4ex9V3
Excel Skills for Business Forecasting Specialization - https://coursera.pxf.io/Kevbbe


DataCamp - Paid
Power BI PL 300 Certification - https://datacamp.pxf.io/oqADvo
Data Analyst Associate Certification - https://datacamp.pxf.io/zNWGv0

LearnSQL - Paid
SQL Fundamentals - https://bit.ly/3K940IP (5% Discount code --- lsql-5z24dg)

PS - Will earn a small commission when you use the paid links but at no extra cost to you. Thanks for supporting the channel :)

Contact Me /Social Media
======================
📥 Email: theworklifeman@gmail.com
📸Instagram: https://www.instagram.com/walegbads/

wisdom
3 Views · 6 months ago

📁 FREE Course Files & Projects 👉 https://lukeb.co/excel_files
🏆 Supporter Access: Problems, Certificate, & More 👉 https://lukeb.co/excel

⚠️ Use "Download Zip" to get all GitHub files (downloading individually corrupts files)
Still having issues downloading the Course Files & Projects?
Try Google Drive instead 👉 https://lukeb.co/excel_files_alternate

My FREE Course to be a Data Analyst 👉 https://lukebarousse.com/5daycourse

𝗖𝗼𝘂𝗿𝘀𝗲 𝗢𝘂𝘁𝗹𝗶𝗻𝗲
▔▔▔▔▔▔▔
👋 Intro
0:00:00 - Welcome
0:03:53 - What is Excel?
0:07:19 - About Course

0️⃣ Excel Setup
0:11:19 - Excel Install

1️⃣ Spreadsheets Intro
0:22:42 - Worksheets
0:39:15 - Workbooks
0:52:06 - Ribbon

2️⃣ Formulas & Functions
1:06:39 - Formulas Intro
1:18:08 - Function Intro
1:29:14 - Logical Functions
1:39:54 - Math Functions
1:49:46 - Statistical Functions
2:01:14 - Array Formulas
2:21:28 - Lookup Function
2:39:25 - Text Functions
2:53:19 - Date and Time Functions

3️⃣ Charts
3:01:33 - Charts Intro
3:22:05 - Charts Advanced
3:35:37 - Charts Statistics
3:47:59 - Sparklines

4️⃣ Spreadsheet Advanced
3:51:57 - Tables
4:09:28 - Formatting
4:26:00 - Collaboration

📊 Project #1 - Salary Dashboard
4:40:30 - Project #1: Build Dashboard
5:26:43 - Project #1: Share Projects

5️⃣ PivotTables
5:33:46 - PivotTable Intro
5:54:53 - PivotTable Advanced
6:09:33 - PivotCharts

6️⃣ Advanced Data Analysis
6:19:43 - Analysis Add-ins
6:39:00 - Data Tables
6:48:06 - Analysis ToolPak

7️⃣ Power Query
7:03:04 - Power Query Intro
7:23:26 - Power Query Editor
7:53:13 - Advanced Transformations
8:14:58 - Append vs Merge
8:39:13 - M Language

8️⃣ Power Pivot / DAX
9:03:11 - Power Pivot Intro
9:29:01 - Power Pivot Window
9:48:18 - DAX Intro
10:09:34 - DAX Advanced

📈 Project #2 - Salary Analysis
10:27:40 - Project #2: Share w/ Git & GitHub
10:45:13 - Project #2: Document w/ README.md

𝗟𝗶𝗻𝗸𝘀 𝗠𝗲𝗻𝘁𝗶𝗼𝗻𝗲𝗱 (𝗯𝘆 𝗖𝗵𝗮𝗽𝘁𝗲𝗿)
▔▔▔▔▔▔▔▔▔▔▔▔▔▔
👋 Intro
Kelly’s LinkedIn: https://www.linkedin.com/in/kellyjianadams/
Kelly’s Website: https://www.kellyjadams.com

0️⃣ Excel Setup
Run Windows on a Mac (Virtual Machine) - https://lukeb.co/parallels
Microsoft 365 (Recommended) - https://www.microsoft.com/en-us/microsoft-365
Office Home & Student 2024 - https://www.microsoft.com/en-us/microsoft-365/p/office-home-2024/cfq7ttc0pqvj

📊 Project #1 - Salary Dashboard
One Drive Folder - https://onedrive.live.com
Project #1: Excel Online Version - https://lukeb.co/excel_dashboard

7️⃣ Power Query
What is Power Query? - https://learn.microsoft.com/en....-us/power-query/powe
Wikipedia Table S&P 500 - https://en.wikipedia.org/wiki/List_of_S&P_500_companies

8️⃣ Power Pivot / DAX
Merges (SQL Joins) - https://lukeb.co/sql_joins
DAX Guide - https://learn.microsoft.com/en-us/dax/

📈 Project #2 - Salary Analysis
Git Download - https://git-scm.com/downloads
GitHub Sign-up - https://github.com/signup
GitHub Desktop - https://desktop.github.com/download/
Markdown Cheatsheet - https://markdownguide.org/cheat-sheet/

📚 Recommended Books & Courses
SQL for Data Analytics - https://youtu.be/7mz73uXD9DA
The Excel 365 Bible - https://geni.us/excel_bible
M is for (Data) Monkey (renamed: Master Your Data) - https://geni.us/power_query

𝗦𝗼𝗰𝗶𝗮𝗹 𝗠𝗲𝗱𝗶𝗮
▔▔▔▔▔▔
📫Newsletter: https://www.lukebarousse.com/
👨🏼‍💼 Linkedin: https://www.linkedin.com/in/luke-b/
🅧 X/Twitter: https://twitter.com/LukeBarousse
🌄 Instagram: https://www.instagram.com/lukebarousse/
⏰ TikTok: https://www.tiktok.com/@lukebarousse

As an Amazon, Coursera, and Parallels Affiliate Programs member, I earn a commission from qualifying purchases on the links above. It costs you nothing but helps me with content creation.

#datanerd #dataanalyst #datascience