Data 100: Principles and Techniques of Data Science

Adoption materials in progress

A full Data 100 adoption package is actively being developed. Public student materials and instructor resources are available now; the standardized adoption workflow will apply once the package is complete.

Data 100 is UC Berkeley's upper-division "Principles and Techniques of Data Science" course, building on Data 8 with deeper coverage of the data science lifecycle, modeling, and machine learning.

Materials

• Course site: ds100.org
• Course notes: ds100.org/course-notes
• Optional supplementary textbook: Learning Data Science
• Public student materials: DS-100/sp25-student
• Private instructor repo (solutions and instructor materials): DS-100/materials-ptds-private — complete the Data 100 Instructor Interest Form for access.

Get started

Interested in adopting Data 100? Complete the Data 100 Instructor Interest Form or email ds-help@berkeley.edu and we'll help you get started.