Need help with textbook?
Click the “chat” button below for chat support from the developer who created it, or find similar developers for support.

About the developer

DS-100
152 Stars 62 Forks 789 Commits 3 Opened issues

Description

Principles and Techniques of Data Science, the textbook for Data 100 at UC Berkeley

Services available

!
?

Need anything else?

Contributors list

Principles and Techniques of Data Science

By Sam Lau, Joey Gonzalez, and Deb Nolan.

This is the textbook for Data 100, the Principles and Techniques of Data Science course at UC Berkeley.

Data 100 is the upper-division, semester-long data science course that follows Data 8, the Foundations of Data Science. The reader's assumed background is detailed in the About This Book page.

The contents of this book are licensed for free consumption under the following license: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

To set up the textbook for local development, see the the setup guide.

We use cookies. If you continue to browse the site, you agree to the use of cookies. For more information on our use of cookies please see our Privacy Policy.