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 Student Profile: Khalil Williams, MA Class of 2027 Wed., August 19, 2026 Police Leadership Training Gains Momentum in the United States Congress Fri., August 14, 2026 Hunting Viruses in Your Water System Fri., August 07, 2026 Upcoming Events More events Harris Summer Mixer in Chicago, IL Thu., August 20, 2026 | 5:30 PM River Roast 315 N La Salle St Chicago, IL 60654 United States Public Sector Scholarship Information Session Fri., August 21, 2026 | 11:00 AM Building Your Harris Application Wed., August 26, 2026 | 10:00 AM