About the Book
- Page ID
- 51672
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Overview
This book is a practical, beginner-friendly, interactive introduction to data science, designed for students with no programming experience and little background in math or statistics. Instead of deriving equations or emphasizing computer science theory, the book uses real-life examples and data to show how programming, math, and statistics work together in practice. Students apply these concepts to common data science tasks such as exploring data, identifying patterns, testing ideas, and making predictions.
Starting with the basics, the book gradually builds toward statistical analysis and introductory machine learning. As students read about each concept, they immediately put it into practice by running and experimenting with Python code within the book. This hands-on approach gives students experience with standard data science tools while learning to approach problems the way a data scientist does.
Acknowledgment
This book would not have been possible without the support of Shagun Kaur and Jyothsna Viswanadha of De Anza College and Delmar Larsen of Libretexts.


