Slides

Lecture slides are organized by chapter. Decks are released as they are prepared, so chapters without a link are still in progress.

Instructors are welcome to adapt these slides for teaching, with attribution to the book. The slides are supplementary material; the text of the book itself remains under the publisher’s copyright.

Chapter	Title
1	Introduction
2	What is Data Science?

Part I. Technical Foundations

Chapter	Title
3	Computing Foundations
4	Mathematics and Optimization Foundations
5	Statistics and Machine Learning Foundations

Part II. The Four Pillars

Chapter	Title
6	Data Engineering
7	Data Analytics
8	Data Protection
9	Data Science Ethics

Part III. Context and Process

Chapter	Title
10	The Social and Policy Context
11	Data Science Lifecycle

Part IV. Practice

Chapter	Title
12	Data Science Applications—Examples
13	Data Science System Architecture

Part V. Synthesis and Outlook

Chapter	Title
14	Conclusions

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