Data Analytics Full Course 2026 | Data Analytics Tutorial | Data Analyst Course | Simplilearn

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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
00:10:48 - 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

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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.
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✅ 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