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, Zhen Zeng, IPAL’23, MPP Class of 2026 Tue., April 23, 2024 Jean Lin Pao, MPP'91, and the Ongoing Fight for Small Business Mon., April 22, 2024 Student profile: Sohyun Lim, MPP Class of 2025 Thu., April 18, 2024 Upcoming Events More events Harris Evening Master's Program Class Visit—Economic Analysis III: Public Finance and Budgeting With Professor Justin Marlowe Tue., April 23, 2024 | 5:45 PM Convene 311 West Monroe St. 2nd Floor Reception Chicago, IL 60606 United States Campus Visit Wed., April 24, 2024 | 12:20 PM 1307 E 60th St Chicago, IL 60487 United States Climate Capital & Sustainable Solutions: Diverse Perspectives on Funding the Climate Crisis Wed., April 24, 2024 | 6:30 PM St. Bartholomew's Church 325 Park Ave. New York, NY 10022 United States