Course # 31302 Section Number 1 Day(s) M- W Time(s) 1:30pm-2:50pm Term Winter 2027 Course Instructor Sheng-Hao Lo TA Session(s) TA Session: Advanced Statistics for Data Analysis II - 31302/1D01 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 Alumnus Diego Macera Receives 2026 Rising Star Award Mon., November 02, 2026 Answering His Own Question: Ayan Sarkar, MPP Class of 2027 Fri., October 30, 2026 Q&A: Eyal Frank on the Stakes of Rolling Back Environmental Protections Wed., October 28, 2026 Upcoming Events More events Get to Know Harris! Emerging Leaders Program Thu., November 05, 2026 | 3:00 PM Evening Master's Program Class Visit Thu., November 05, 2026 | 5:15 PM IGE Applied Workshop Series: From Problem to Evidence to Implementation | Part One Tue., November 10, 2026 | 9:00 AM