2026 Fall
PUBPOL 246 001 - LEC 001
Data Science for Public Policy
Felix Owusu
Class #:30941
Units: 4
Instruction Mode:
In-Person Instruction
Offered through
Richard and Rhoda Goldman School of Public Policy
Current Enrollment
Total Open Seats:
3
Enrolled: 83
Waitlisted: 0
Capacity: 86
Waitlist Max: 15
Open Reserved Seats:
1 unreserved seats
2 reserved for Graduate Students in the Goldman School of Public Policy
Hours & Workload
2 hours of instructor presentation of course materials per week, 8 hours of outside work hours per week, and 2 hours of instructional experiences requiring special laboratory equipment and facilities per week.
Other classes by Felix Owusu
Course Catalog Description
Data and analytics have become essential for tackling real-world social and policy problems. This course will cover key tools in this setting: data wrangling and description with (often messy) data sets, including data aggregation and manipulation; visualization; and introduction to more advanced statistical programming. Students will explore these topics via individual- and group-based applied data projects, including hands-on assignments during class. The goal is for students to “get their hands dirty” with data and to produce workable—rather than ideal—solutions to problems. Data sets will be drawn from governments, non-profits, and other partner organizations. The course will be taught using the open-source programming language, R.
Rules & Requirements
Repeat Rules
Course is not repeatable for credit.
Reserved Seats
Reserved Seating For This Term
Current Enrollment
Open Reserved Seats:
1 unreserved seats
2 reserved for Graduate Students in the Goldman School of Public Policy
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials