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: Sohyun Lim, MPP Class of 2025 Thu., April 18, 2024 Q&A: Kim Wolske On How to Make Solar Panels More Accessible Thu., April 18, 2024 Climate change may cost $38 trillion a year by 2049, study says Thu., April 18, 2024 Upcoming Events More events Ask Admissions: SDG (Sustainable Development Goals) Challenge Program for High School Students Mon., April 22, 2024 | 8:00 AM Ask Admissions: Credential Programs Mon., April 22, 2024 | 9:00 PM Ask Admissions: Credential Programs Tue., April 23, 2024 | 7:00 AM