Course # 31202 Section Number 2 Day(s) Tu- Th Time(s) 11:00am-12:20pm Term Fall 2025 Course Instructor Dan Black Syllabus Syllabus 9/4/24 This course focuses on the statistical concepts and tools used to study the association between variables and causal inference. This course will introduce students to regression analysis and explore its uses in policy analyses. This course will assume a greater statistical sophistication on the part of students than is assumed in PPHA 31002. Must be a Harris masters student to enroll. No exceptions for non-Harris students, even by consent. Notes Harris students can self-select into Advanced Statistics during preregistration/registration. Attendance at discussion sessions is required for this course. Course Prerequisite Must be a Harris masters student to enroll. Recent News More news University of Chicago’s Harris School of Public Policy and Institute for Climate and Sustainable Growth Launch New Pathbreaking Master’s Program in Climate and Energy Policy Tue., July 08, 2025 Provost Katherine Baicker Appointed Emmett Dedmon Distinguished Service Professor Thu., July 03, 2025 Alumni Profile: Daisuke Kageyama, MPP'23 Thu., June 26, 2025 Upcoming Events More events Get to Know Harris! A Virtual Information Session Wed., July 09, 2025 | 8:30 AM Harris Alumni Roundtables in Washington, DC: Transitions between public and private sector roles Wed., July 09, 2025 | 8:30 AM Office of Federal Relations 1730 Pennsylvania Ave NW Washington, DC 20006 United States Harris Summer Mixer in Washington, DC: Cultivating Policy Connections Thu., July 10, 2025 | 5:00 PM Harris Summer Mixer in Washington, DC: Cultivating Policy Connections Office of Federal Relations 1730 Pennsylvania Ave NW Washington,, DC 20006 United States