Data Science — Textbook & Study Material

Download the official textbook for Data Science and see the full chapter list so you know exactly what to cover.

Official textbook download

What you will study (chapters)

Chapter 1
Introduction to Data Science
Chapter 2
Data Types, Data Sources, and Data Quality
Chapter 3
Data Life Cycle and Project Workflow
Chapter 4
Data Collection Methods and Sampling
Chapter 5
Data Cleaning and Preprocessing
Chapter 6
Data Wrangling and Storage
Chapter 7
Descriptive Statistics and Visualization
Chapter 8
Probability & Distributions
Chapter 9
Inferential Statistics and Hypothesis Testing
Chapter 10
Fundamentals of Machine Learning
Chapter 11
Regression and Classification Basics
Chapter 12
Ethics, Privacy, and Responsible Data Science

Frequently asked questions

Is the Data Science textbook available for free?

Yes — the book linked above is a free download. We link to the source rather than re-hosting it, so you always get the current edition. Check the edition against the syllabus for your exam year.

Is the Data Science textbook enough to score well, or do I need extra notes?

The official textbook is the core — most exam questions are set directly from it, so read it thoroughly first. Add concise notes and solved past papers for revision and exam practice rather than switching to unofficial books.

How should I study the Data Science textbook chapter by chapter?

Cover the high-weightage chapters first (use the exam pattern as a guide), make a one-page summary per chapter, and immediately solve a few past-paper questions on it. Active recall beats passive re-reading.

How can I prepare for Data Science faster?

Begin with the most-frequently-asked topics and the last few years of question papers, then test yourself under timed conditions. If you want guided help, you can use the free AI study tutor for Data Science — practise past-paper questions and get instant feedback — or a focused Data Science study guide that condenses the syllabus into the topics that matter most — both are free to start.

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