Day(s) Monday Wednesday Time(s) 3:00 PM - 4:20 PM Course # PPHA 30545 Term Spring 2023 Specialization 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 More news Student Profile: Carrie Collins, MPP Class of 2024 Tue., April 30, 2024 Alumni Profile: Eloísa Ávila-Uribe, MACRM’23 Fri., April 26, 2024 Ariel Kalil: Multigenerational households are key to better support for kids of single mothers Thu., April 25, 2024 Upcoming Events More events Harris Reunion Weekend 2024 Fri., May 03, 2024 | 12:00 PM 1307 E. 60th Street Chicago, IL 60613 United States Data and Policy Summer Scholars Program (DPSS): Deep-Dive Conversation with Jose Macias and Alexandra Sobczynski Mon., May 06, 2024 | 7:30 PM International Policy Action Lab Mini Class with Austin Wright Tue., May 07, 2024 | 6:00 AM