📚 Resources

Table of contents

1. Past Exams
2. Videos
3. Readings
   1. Textbooks
   2. Articles and Visual Explainers
   3. Other Links
4. Regular Expressions

Past Exams

Some past exams with detailed solutions can be found at practice.dsc80.com.

Videos

Both of these videos were recorded in previous iterations of the course, but are still useful.

• DSC 80 Environment Setup and Assignment Workflow.
• Working with the command-line in DSC 80.

Readings

Textbooks

• Learning Data Science. The textbook for Berkeley’s Data 100 course, co-authored by HDSI’s own Sam Lau. Most of our supplemental readings will come from here.
• DSC 80 Course Notes. These notes were originally written for DSC 80 but have not been updated in a few years. Some of our supplemental readings will come from here.
• Python for Data Analysis. A classic foundational guide, written by the creator of pandas himself, Wes McKinney.
• DSC 10 Course Notes. A great refresher on babypandas.
• Computational and Inferential Thinking. The textbook for Berkeley’s Data 8 course and the second half of DSC 10.

Articles and Visual Explainers

• Views and Copies in pandas. A great read if you’d like to learn more about the infamous SettingWithCopyWarning.
• Permutation Testing Visualization.
• A Visual Introduction to Machine Learning.
• MLU Explain. A collection of interactive articles prepared by Jared Wilber explaining core machine learning ideas, like cross-validation, random forests, and precision and recall.
• Machine Learning for Everyone. Ideas in machine learning, explained simply.

Other Links

• Pandas Tutor. A tool to help you visualize DataFrame manipulations.
• Fast Permutation Tests.

Regular Expressions

• regex101.com. A helpful site to have open while writing regular expressions.
• Python re library documentation and how-to.
• regex “cheat sheet”. Originally from Berkeley’s Data 100 course.