Day(s) Monday Wednesday Time(s) 4:30pm-5:50pm Course # PPHA 30545 Term Spring 2023 Specialization Data Analytics 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. Syllabus 4/5/2023 Instructor(s) Guillaume A Pouliot Recent News More news Student Profile: Vladimir Bejdo, DPSS’23 Thu., July 18, 2024 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 Upcoming Events More events Harris Campus Visit Thu., July 25, 2024 | 10:00 AM Keller Center 1307 E 60th St Chicago, IL 60637 United States Get to Know Harris! Public Sector Scholarship Fri., July 26, 2024 | 12:00 PM Get to Know Harris! MACRM and PhD Information Session Thu., August 01, 2024 | 8:30 AM