2026 Fall PUBPOL 246 001 LEC 001

2026 Fall

PUBPOL 246 001 - LEC 001

Data Science for Public Policy

Felix Owusu

Aug 26, 2026 - Dec 11, 2026
Tu, Th
03:30 pm - 04:59 pm
Class #:30941
Units: 4

Instruction Mode: In-Person Instruction

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.

Textbook Lookup

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eTextbooks

Associated Sections