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Principles and Techniques of Data Science, the textbook for Data 100 at UC Berkeley
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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.
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].