Practical Technical Hands On Guide For BA

SQL is no longer enough. AI hasn't replaced the business analyst — it has raised the bar for what one is expected to do. This 165-page guide is your step-by-step path to becoming the AI-fluent BA every team wants.

Across 16 chapters you'll move from Python, APIs, and data wrangling to prompt engineering, LLMs, retrieval-augmented generation, automation, and responsible AI — each explained for a BA, not an engineer. No computer-science background required.

You get hands-on code you can run, real BA examples (requirements, dashboards, migrations), a mini-project per chapter, a curated library of 80+ free resources, a phased 12-month roadmap, and three portfolio-ready capstone projects.

Stop being the person who waits on the data team. Become the one they rely on.

What's inside:

1. 165 pages, 16 chapters, beginner-to-intermediate — no coding background needed
2. Beyond SQL: Python, APIs, pandas, visualisation/BI, and statistics
3. The full AI stack: prompt engineering, LLMs, RAG, AI-assisted requirements, automation
4. Cloud, data platforms, and responsible-AI governance
5. A mini-project in every chapter + 3 capstone projects to build your portfolio
6. A 12-month roadmap and 80+ curated free learning resources