Course # 30545 Section Number 1 Day(s) M- W Time(s) 10:30am-11:50am Term Winter 2025 Specialization Data Analytics Course Instructor Chris Clapp Syllabus Syllabus 7/1/24 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 are required to register for both a lecture (PPHA 30545) and a language-specific lab (PPHA 30547 in R or PPHA 30548 in Python). This section will have a Python programming focus. Recent News More news Affordable Care Act Led to Parents Staying in Jobs Longer, Study Finds Tue., July 16, 2024 Harris Voices: Amilcar Guzman, CLA'24, on an Education Inside and Outside the Classroom Mon., July 15, 2024 What's the Right Amount of Repression? UChicago Scholars Explore the Dictator's Dilemma Mon., July 15, 2024 Upcoming Events More events Get to Know Harris! A Virtual Information Session Wed., July 17, 2024 | 12:00 PM Civic Leadership Academy 2025 Virtual Information Session Thu., July 18, 2024 | 12:00 PM Virtual Event Chicago, IL 60637 United States Harris Campus Visit Thu., July 25, 2024 | 10:00 AM Keller Center 1307 E 60th St Chicago, IL 60637 United States