Data Science with Generative AI

Master Edition — Data Science with Generative AI

One connected system, not six books stapled together. 79 chapters and 10 full capstone projects — roughly 1,900 pages — taking you from your first line of Python to designing, evaluating, and deploying agentic generative-AI systems in production. Written to be read in the order that matches where you're actually starting from, with a built-in "Start Here" guide pointing beginners, analysts, engineers, and GenAI-focused readers each to their own path through the material.

Inside:

• Foundations & Python from zero — including how to learn with an AI assistant instead of just copying it
• Math/stats intuition, SQL & databases, data engineering pipelines, exploratory analysis & visualization
• Classical machine learning through neural networks and deep learning
• How large language models actually work, building GenAI-powered data applications, AI agents built from scratch and with frameworks, fine-tuning, multimodal AI, rigorous evaluation
• MLOps & production, AI security/governance/responsible AI, and 10 end-to-end capstone projects from an empty folder to a deployed system
• Career chapters: roles, portfolio-building, working professionally alongside AI tools

Every chapter follows the same structure — Concept, Beginner Example, Python Code, GenAI Application, Professional Technique, Mini Project, Exercises, Challenge, Interview Questions, Chapter Summary — so once you're used to navigating one chapter, you can navigate all 79.

Who it's for: complete beginners, analysts moving into data science, software engineers adding ML/AI to what they build, and GenAI-focused readers who want LLMs, RAG, and agents first.

What you get: PDF + EPUB of the full master book. (Book + Resources adds runnable code files and notebooks for every chapter plus the 5 fictional-company practice datasets; Full Bundle adds the standalone Prompt Library, the Start Here reading-path guide, and the living Errata & Updates page tracking library-version drift.)

Buy once, own every volume. This is the whole system.