Crack the Data Science & AI Interview: Data Analyst, Data Science and Generative AI — 200 Real Questions with Answers and Practice — 0 to 3 Years Experience

Three roles. One hiring pipeline.

Data Analyst, Data Scientist and Generative AI Engineer roles share more of their interview ground than most candidates expect. This book covers all three — each part ordered by how often the questions are genuinely asked, not by textbook order.

200 Questions across three self-contained parts, plus three appendices on learning, practice and interview day. Each part stands alone, so you can read only the one matching the role you are interviewing for — or all three, because the pipelines overlap more than most candidates realise.

Inside this book:

• Part One — Data Analyst & Power BI (70 questions)
• Part Two — Data Science (65 questions)
• Part Three — Generative AI (65 questions)
• Appendices — Learning, Practice & Interview Day (A–C)

What you get:

• SQL first — roughly half of a data analyst interview
• Machine learning, model evaluation and feature engineering
• LLMs, prompt engineering, RAG, agents and production concerns
• Real analytical scenarios, not just definitions
• The follow-up questions an interviewer asks next

Covers: SQL and window functions · Power BI and DAX · Excel · statistics · Pandas and NumPy · supervised learning · model evaluation · feature engineering · large language models · prompt engineering · retrieval-augmented generation · agents and tool calling · evaluation and guardrails

Written by a software professional with over twenty years of industry experience — and built for people at the start of theirs.