Course # 31202 Section Number 1 Day(s) Tu- Th Time(s) 9:30am-10:50am Term Fall 2025 Course Instructor Dan Black TA Session(s) TA Session: Advanced Statistics for Data Analysis I - 31202/1D01 Syllabus Syllabus 8/29/25 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 2025 PPHA 31202/1 Advanced Statistics for Data Analysis I Dan Black Tuesday, Thursday 9:30am-10:50am Syllabus Fall 2025 PPHA 31202/2 Advanced Statistics for Data Analysis I Dan Black Tuesday, Thursday 11:00am-12:20pm Syllabus TA Sessions Quarter Course # Title Instructor Day(s) Time(s) Syllabus Fall 2025 PPHA 31202/1D01 TA Session: Advanced Statistics for Data Analysis I Staff Friday 10:30am-11:50am Fall 2025 PPHA 31202/2D01 TA Session: Advanced Statistics for Data Analysis I Staff Friday 1:30pm-2:50pm Recent News More news Green Subsidies Could Deliver the Same Climate Impact at Half the Cost Thu., January 29, 2026 Alumni Profile: Martha MacLaren, MPP’25 Wed., January 28, 2026 Former NYPD Chief of Department Kenneth E. Corey Named Executive Director of the Policing Leadership Academy Wed., January 28, 2026 Upcoming Events More events Credential Program Faculty Spotlight: Sample Class with Professor Sheng-Hao Lo Mon., February 02, 2026 | 7:00 PM Get to Know Harris! A Virtual Information Session Wed., February 04, 2026 | 12:00 PM MACRM Virtual Session: Current Student Panel Thu., February 05, 2026 | 9:00 AM