Data and AI Analytics for Non-Programmers

Correct. Everything in this course is done in Excel, Google Sheets and Power BI, all of which are built for exactly this work. Power Query and DAX are used, and although DAX is a formula language it is far closer to spreadsheet formulas than to programming. If you later want Python or SQL, this course leaves you well placed, but nothing here depends on it.

You need a spreadsheet, either Excel or Google Sheets, and Power BI Desktop for the dashboard modules, which is free on Windows. If you are on a Mac we will discuss the practical alternatives in the first class. We keep the course workable with the tools most workplaces already have.

Honestly, and in both directions. AI assistants are genuinely good at writing formulas, drafting DAX, explaining an inherited spreadsheet and suggesting cleaning steps, and used well they make you noticeably faster. They are also very capable of producing a confident wrong answer. So we teach you to use them and to verify everything they produce against known subtotals before you present it.

Yes. The final month is a capstone: you choose a real question, source and clean the data, model it, build the dashboard and present the findings, including your assumptions and limitations. It is designed to be the project you show in an interview, because it demonstrates the entire workflow rather than one tool.

Most data courses lose people because they open with programming or with tidy academic datasets that behave nothing like real ones. This one starts in the tools you already have and works with genuinely messy data from the first weeks, because cleaning is the part where real analysis actually fails. It is live and small, so you get unstuck in class rather than quietly falling behind.

Group classes start at ₹1,499 per month for two classes a week. A Mini Batch of three to four students is ₹2,499 per month, and 1-on-1 classes are ₹4,999 per month. There is a free demo class first, so you can see the teaching before you decide.