Davis B., Glanz H. Data Science for All Global Edition 2025

Textbook in PDF format

We are all consumers of data, and you may become directly engaged with data work in your future career. Data Science for All, 1st Edition takes you on a thorough yet reader-friendly journey into the subject to help you navigate a data-rich world. The authors demystify data science, covering its entire lifecycle from preparation and analysis to storytelling. Designed for students of all majors and backgrounds, it distills the most applicable ideas from the component fields of statistics, computer science, and domain application, helping you apply them immediately to your everyday life. Learning by doing is emphasized through the authors’ unique STAR framework and various tools that encourage a more engaging and practical experience.
About the Authors.
Preface.
Acknowledgments.
Reviewers.
Index of Activities.
What Is Data Science?
Data Wrangling: Preprocessing.
Making Sense of Data through Visualization.
Exploratory Data Analysis.
Data Management.
Understanding Uncertainty, Probability, and Variability.
Drawing Conclusions from Data.
Machine Learning.
Supervised Learning.
Unsupervised Learning.
Appendix A Try It Yourself Answers.
Appendix B Chapter Review Questions Answers.
Appendix C Sources.
Appendix D Index