| jupyter |
|---|
python3 |
This text offers supplementary resources to accompany lectures presented in the Spring 2024 Edition of the UC Berkeley course Data 100: Principles and Techniques of Data Science.
New notes will be added each week to accompany live lectures. See the full calendar of lectures on the course website.
If you spot any typos or would like to suggest any changes, please fill out the Data 100 Content Feedback Form (Spring 2024). Note that this link will only work if you have an @berkeley.edu email address. If you’re not a student at Berkeley and would like to provide feedback, please email us at data100.instructors@berkeley.edu.