IBM Data Analyst Complete Course | Data Analyst Tutorial For Beginners,

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

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