External Resources

Data 8 is a foundational data science course combining three perspectives: inferential thinking, computational thinking, and real-world relevance. Find information on the Data 8 course website, textbook, and further resources related to adopting the course here. 

Instructor Interest Form - Interested in adopting Data 8 curriculum? Complete our interest form!

Data 100 is an intermediate level class that explores key areas of data science including question formulation, data collection and cleaning, visualization, statistical inference, predictive modeling, and decision making.​ Read more about Data 100 goals, course materials, website, textbook, and adoption guide here. 

Explore past presentations and register for the 2023 National Workshop on Data Science Education hosted by UC Berkeley CDSS on topics related to data science pedagogy. 

Browse guides on adopting and developing courses related to the data science major and/or minor, as well as related programs such as Human Contexts and Ethics (HCE). Other information relevant to instructors teaching modules and connectors can also be found. 

Overview two major infrastructural accessories - JupyterHub and Otter Grader - essential for teaching data science courses at scale. Deployment guides and community forums are linked to assist instructors in shaping their courses with the right services. 

Discover and connect to the data science instructor community, both at Berkeley and around the nation.

The California Alliance for Data Science Education (CADSE) seeks to advance data science education in California Community Colleges (CCCs), California State Universities, and the University of California system. Read more about CADSE success stories and initiatives expanding across the state.