Course # 30545 Section Number 2 Day(s) M- W Time(s) 1:30pm-2:50pm Term Fall 2025 Specialization Data Analytics Course Instructor Chris Clapp Syllabus Syllabus 1/6/25 The objective of this course is to train students to be insightful users of modern machine-learning methods. The class covers regularization methods for regression and classification, as well as large-scale approaches to inference and testing. In order to have greater flexibility when analyzing datasets, both frequentist and Bayesian methods are investigated. This class is required for the Data Analytic specialization but is open to all students who have taken the Harris core statistics classes (or the equivalent) and have some exposure to programming. Notes Students must register separately for both a lecture (PPHA 30545) and a discussion (PPHA 30547). Attendance at discussions is optional but encouraged for this course. Recent News More news New Series to Examine Shifting Powers in U.S. Government Tue., July 29, 2025 Mapping the Mortality Gap: New Evidence from Robert Kaestner on Racial Disparities in Death Rates Mon., July 28, 2025 The Lightbulb Moment That Lit a Career in Public Finance: The 2025 CC DuBois Alumni Service Award Winner Tells Her Story Mon., July 28, 2025 Upcoming Events More events Civic Leadership Academy 2026 Virtual Information Session Wed., July 30, 2025 | 12:00 PM UChicago Summer Send-Off in Tokyo Thu., July 31, 2025 | 7:30 PM DevilCraft-Hamamatsucho, Risewell Building, 1F, Minato-ku Tokyo 105-0013 Japan Harris Summer Campus Visit Mon., August 04, 2025 | 10:00 AM Harris School of Public Policy 1307 E 60th St Chicago, IL 60637 United States