Course # 31202 Section Number 2 Day(s) Tu- Th Time(s) 11:00am-12:20pm Term Fall 2026 Course Instructor Jeffrey Grogger TA Session(s) TA Session: Advanced Statistics for Data Analysis I - 31202/2D01 Syllabus Syllabus 8/20/26 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. Course Sections Quarter Course # Title Instructor Day(s) Time(s) Syllabus Fall 2026 PPHA 31202/1 Advanced Statistics for Data Analysis I Jeffrey Grogger Tuesday, Thursday 9:30am-10:50am Syllabus Fall 2026 PPHA 31202/2 Advanced Statistics for Data Analysis I Jeffrey Grogger Tuesday, Thursday 11:00am-12:20pm Syllabus TA Sessions Quarter Course # Title Instructor Day(s) Time(s) Syllabus Fall 2026 PPHA 31202/1D01 TA Session: Advanced Statistics for Data Analysis I Staff Friday 2:30pm-3:20pm Fall 2026 PPHA 31202/2D01 TA Session: Advanced Statistics for Data Analysis I 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 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 Get to Know Harris! A Virtual Information Session Wed., November 11, 2026 | 8:30 AM