Course # 31302 Section Number 2 Day(s) M- W Time(s) 3:00pm-4:20pm Term Winter 2027 Course Instructor Sheng-Hao Lo TA Session(s) TA Session: Advanced Statistics for Data Analysis II - 31302/2D01 Syllabus Syllabus 1/13/26 A continuation of PPHA 31202, 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 31102. 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. Course Sections Quarter Course # Title Instructor Day(s) Time(s) Syllabus Winter 2027 PPHA 31302/1 Advanced Statistics for Data Analysis II Sheng-Hao Lo Monday, Wednesday 1:30pm-2:50pm Syllabus Winter 2027 PPHA 31302/2 Advanced Statistics for Data Analysis II Sheng-Hao Lo Monday, Wednesday 3:00pm-4:20pm Syllabus TA Sessions Quarter Course # Title Instructor Day(s) Time(s) Syllabus Winter 2027 PPHA 31302/1D01 TA Session: Advanced Statistics for Data Analysis II Staff Friday 2:30pm-3:20pm Winter 2027 PPHA 31302/2D01 TA Session: Advanced Statistics for Data Analysis II Staff Friday 3:30pm-4:20pm Recent News More news Harris Public Policy Launches Custom Executive Education Program with Paraguay’s BECAL Thu., October 01, 2026 Reducing Emissions Both Effectively and Fairly Calls for Mix of Climate Policy Approaches Tue., September 29, 2026 Chicago Public Media and University of Chicago Harris School of Public Policy Launch Chicago in Conversation Wed., September 23, 2026 Upcoming Events More events San Francisco Coffee Chat Mon., October 05, 2026 | 3:00 PM Up Front Featuring Professor James A. Robinson Tue., October 06, 2026 | 6:30 PM Get to Know Harris! A Virtual Information Session Wed., October 07, 2026 | 12:00 PM