Data Analytics with AI
Use ChatGPT, Copilot, and AI tools to 10x your analytics productivity.
Why Learn AI & Generative AI for Data Analytics?
AI is transforming data analytics — analysts who know how to use AI tools are 10x more productive than those who do not. ChatGPT can write SQL, Python, and formulas. Copilot can analyze data in Excel and Power BI. Learning to use AI for analytics is the fastest way to upgrade your skills in 2024.
Who uses AI & Generative AI
What You'll Learn
Core topics covered when learning AI & Generative AI for data analytics:
Real-World Use Cases for AI & Generative AI
What data analysts actually use AI & Generative AI for on the job:
Real-World Example
In practice
Using Copilot to analyze sales data and generate insights in minutes — asking natural language questions like "which region had the highest growth?" and getting instant visualizations, summaries, and recommendations.
Learning Path for AI & Generative AI
A structured path to go from zero to job-ready with AI & Generative AI:
Get familiar with AI & Generative AI's interface and core concepts. Focus on: ChatGPT for data analysis and Microsoft Copilot in Excel/Power BI. Do not skip the fundamentals — they come up in every interview.
Apply what you have learned to a real dataset. Build a project using AI & Generative AI that demonstrates Automated insights generation and Natural language queries on data. Upload it to GitHub or share it publicly.
Deepen advanced topics: LLM-powered dashboards and AI for data cleaning. Add a second portfolio project. Start applying to junior data analyst roles. AI & Generative AI proficiency combined with SQL is enough to land your first role.
Prerequisites
What you need before starting to learn AI & Generative AI for data analytics:
Free Resources to Start Learning AI & Generative AI
High-quality free resources to begin your AI & Generative AI analytics journey:
Frequently Asked Questions
How to do data analytics with AI & Generative AI?+
Start with the basics: ChatGPT for data analysis, Microsoft Copilot in Excel/Power BI, AI-powered SQL generation. AI is transforming data analytics — analysts who know how to use AI tools are 10x more productive than those who do not. ChatGPT can write SQL, Python, and formulas. Copilot can analyze data in Excel and Power BI. Learning to use AI for analytics is the fastest way to upgrade your skills in 2024. With 1–2 weeks of focused practice, you can go from beginner to job-ready.
Is AI & Generative AI enough for data analytics?+
AI & Generative AI covers a wide range of analytics use cases including Automated insights generation, Natural language queries on data, Dashboard creation with Copilot. For most analyst roles, pairing AI & Generative AI with SQL and a BI tool (Power BI or Tableau) gives you a complete skill set. AI is transforming data analytics — analysts who know how to use AI tools are 10x more productive than those who do not. ChatGPT can write SQL, Python, and formulas. Copilot can analyze data in Excel and Power BI. Learning to use AI for analytics is the fastest way to upgrade your skills in 2024.
How long to learn AI & Generative AI for data analytics?+
You can learn the fundamentals of AI & Generative AI in 1–2 weeks with 1–2 hours of daily practice. Difficulty: Beginner. Prerequisites: Basic Excel or analytics knowledge.
Other Data Analytics Tools
Learn AI & Generative AI for Data Analytics — Structured & Job-Focused
The SkillsetMaster Data Analytics course covers AI & Generative AI alongside SQL, Power BI, Python, and real-world projects — everything you need to land your first data analyst role.
Over 2,000 students have used this course to transition into data analytics. Includes live mentorship, project feedback, and placement support.
₹4,999 68% OFF