The Data Science Academic Resource Kit is a guide to orient Berkeley instructors on the resources and services for developing data science courses. The kit builds on the successes of the Division of Data Sciences module and connector courses and spans introductory workshops to content development. The Data Science Academic Resource Kit is a collaboration between the Division of Data Science, DLab, BIDS Education Training Working Group.
Each instructors has unique goals whether it is exploring the possibilities in data science for the first time to creating an upper division course that utilizes data science methods. To support this diversity, we provide three curriculum development options that vary by time commitment and skill set.
Departmental upper division courses
Education Resources Kit Overview
Instructor Training Resources
Instructors who have interest in creating data sciences course content can utilize these training opportunities.
3 day data science workshop for faculty instructors interested in creating new data science courses. Currently only offered during the summer session.
D-Lab provides a variety of free workshop trainings for those interested in learning Python, R, Stata, Excel, Geospatial Mapping, Qualitative Methods, etc. These are good places to start familiarizing yourself with how data workshop series are organized, developed, and taught.
Instructional Content Development
Modules Development Team
Teams of graduate and undergraduate students have already successfully implemented a variety of data courses in departments across campus. These courses range from semester-long courses to single class sessions and everything in between.
Infrastructure & Teaching Support
Resource guide to setup your own cloud computing environment.
Guide for data science Instructors.