Day(s) Monday Wednesday Time(s) 3:00 PM - 4:20 PM Course # PPHA 30545 Term Spring 2023 Certificate Program Data Analytics Must have taken PPHA 30535 Data and Programming for Public Policy I-R and PPHA 30536 Data and Programming for Public Policy II-R or obtain instructor consent to enroll. The objective of the Data Science sequence is to train students to be successful and autonomous applied economists and data scientists in government and industry. In the first two courses of the sequence, students learned programming, as well as how to handle, summarize, and visualize modern datasets. 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. Syllabus 4/5/2023 Instructor(s) Guillaume A Pouliot Recent News Alumni Profile: Geet Chawla, MPP’21 Thu., September 21, 2023 Ali Fendrick and Troy Boyd Jr., Both AM'19, Apply Harris Toolkit to Schools in Chicago Wed., September 20, 2023 More news Upcoming Events Impact Investing and ESG Evening Reception with Kamran Khan, Gabriel Presler, and Professor Justin Marlowe Tue., September 26, 2023 | 5:00 PM Gleacher Center 450 N. Cityfront Plaza Dr. Room 300 Chicago, IL 60611 United States UChicago Harris Coffee Chat in Ithaca Tue., September 26, 2023 | 5:30 PM Collegetown Bagels 420 College Ave Ithaca, NY 14850 United States More events