Free Download Master Generative AI for Data Analytics in PythonPublished 1/2026
Created by Shan Singh
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Level: All |
Genre: eLearning |
Language: English |
Duration: 46 Lectures ( 5h 37m ) |
Size: 5 GB
✓ Use Generative AI tools to automate real-world data analytics tasks in Python
✓ Write effective prompts to generate insights, summaries, and reports from datasets
✓ Build end-to-end data analytics projects enhanced with Generative AI
✓ Perform faster exploratory data analysis (EDA) using AI-generated code and explanations
✓ SQL & Database Management: Write and optimize SQL queries, use joins, window functions, and integrate Generative AI for data cleaning.
Requirements● Basics of Python is good to have !
DescriptionGenerative AI is transforming how data analysts work. Manual analysis is being replaced by AI-powered automation, faster insights, and smarter decision-making.
In this course, you will learn how to use ChatGPT, Google Gemini, and modern LLMs (Large Language Models) to perform end-to-end Data Analytics in Python - from raw data to business insights and dashboards.
This is not just theory. You will build real-world AI-powered data analytics workflows and projects that show you exactly how Generative AI is used in modern analytics jobs.
What Makes This Course Different?
Instead of learning data analysis the old manual way, you'll learn how to
Use ChatGPT & Generative AI for Data Analysis
Automate EDA (Exploratory Data Analysis) using AI
Generate and debug SQL queries with LLMs
Use AI for data cleaning, data quality checks, and validation
Create Python visualizations with AI-generated code
Build AI-assisted dashboards and reports
Write powerful prompt engineering templates for analytics
You are not just learning tools - you are learning how to work like a modern AI-powered Data Analyst.
Skills You Will Gain
By the end of this course, you will be able to
• Perform Data Analysis using ChatGPT and Generative AI
• Use Python for AI-powered analytics workflows
• Automate EDA, data cleaning, and reporting
• Use LLMs for SQL query generation and optimization
• Generate business insights from data using AI prompts
• Build interactive dashboards with AI assistance
• Create automated AI data reports and executive summaries
These are highly in-demand skills in today's Data Analytics, Business Intelligence, and AI-driven roles.
Who this course is for■ Data analysts and aspiring data analysts who want to use Generative AI to work faster and smarter
■ Python users who want to apply GenAI to real-world data analysis projects
■ Business analysts who want to generate automated insights, summaries, and reports using AI
■ Students and professionals who want to build job-ready GenAI + Data Analytics skills
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