Additional Resources

This section provides links to additional resources for teaching Data 6 and related courses.

Course Materials¶

• Data 6 Course Website - Syllabi and assignments for semesters at UC Berkeley

• Data 6 Course Notes - Online lecture notes

• Public Student Materials - Jupyter notebooks for labs, homeworks, and projects

• Data 6 GitHub Organization

Foundational Texts¶

We strongly recommend supplementing Data 6 materials with these foundational texts:

• Data 8: Computational and Inferential Thinking: The Foundations of Data Science, 2nd Edition, by Ani Adhikari, John DeNero, David Wagner

• CS 61A: Composing Programs, by John DeNero

• Stat 20: Course Notes by Andrew Bray

Related Courses¶

• Data 8: Foundations of Data Science

• Zero to Data 8

Technical Infrastructure¶

• The Data Science Educator’s Guide to Technical Infrastructure

• JupyterHub Documentation

• Otter Documentation

Community and Support¶

• Data Science at Berkeley

• Contact: data6@berkeley.edu

• Data 6 Instructor Interest Form

DUBOIS Project¶

This material is based upon work supported by the U.S. National Science Foundation under award Nos. 2245877, 2245878, 2245879, and the California Learning Lab.

Learn more about the DUBOIS project: https://dubois-ctds.github.io/

Accessibility¶

• Jupyter Accessibility Documentation

• Accessibility Extension

Privacy and Security¶

• HECVAT Documentation