Principles of Data Science



Book Details
Authors | Shaun V. Ault, Soohyun Nam Liao, Larry Musolino |
Publisher | OpenStax |
Published | 2025 |
Edition | 1 |
Paperback | 573 pages |
Language | English |
ISBN-13 | 9798385161850, 9798385161867, 9781961584600 |
ISBN-10 | 8385161856, 8385161864, 1961584603 |
License | Creative Commons Attribution-NonCommercial-ShareAlike |
Book Description
Principles of Data Science is intended to support one- or two-semester courses in data science. It is appropriate for data science majors and minors as well as students concentrating in business, finance, health care, engineering, the sciences, and a number of other fields where data science has become critically important.
The authors have included a diverse mix of scenarios, examples, and data types for analysis and discussion purposes. These include both fictional contexts and real-world sources, such as the Federal Reserve Economic Database and Nasdaq. Data sets focus on a range of topics: business, science, social sciences. Applications include healthcare, physical sciences, demographics, policy, and finance. Data ethics and the emergence of artificial intelligence are covered deeply - both in their own chapters and as consistent threads throughout the course material.
The authors and contributors have developed rich in-chapter example problems and extensive practice exercises that encourage students to apply concepts in a variety of situations. Technical illustrations and Python code support and supplement the principles and theory. The text also includes direct links to downloadable data sets and Python code, as well as guidance on how to use them.
This book is available under a Creative Commons Attribution-NonCommercial-ShareAlike license (CC BY-NC-SA), which means that you are free to copy, distribute, and modify it, as long as you credit the original author, don't use it for commercial purposes, and share any adaptations under the same license.
If you enjoyed the book and would like to support the author, you can purchase a printed copy (hardcover or paperback) from official retailers.