Berkeley's core data science classes all offer its students free access to an interactive online textbook. The books are created using a service from Project Jupyter in collaboration with the Berkeley Data Science Education Program (DSEP) known as a Jupyter Book. The most updated textbooks for these core classes are listed below.
The contents of all of these books are licensed for free consumption under the following license: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Authors: Ani Adhikari and John Denero
Contributions: David Wagner and Henry Milner
This is the textbook for the Foundations of Data Science class at UC Berkeley(link is external)
Authors: Sam Wu, Joseph Gonzalez, and Deb Nolan
Data 100 is the upper-division, semester-long data science course that follows Data 8, the Foundations of Data Science(link is external). The reader’s assumed background is detailed in the About This Book(link is external) page.
Authors: Ani Adhikari and Jim Pitman
This is the textbook for the Probability for Data Science(link is external) class at UC Berkeley.