Advanced Data Sci for Pub Pol

3 Credits · Level: Graduate

This course aims to provide advanced skills and knowledge in data science and exposure to specific applications and challenges of these methods in policy analysis and governance. Designed to complement training in econometrics and statistical inference, the course will explore advanced R programming, tools for reproducible research, non-parametric statistics, simulation methods, machine learning, and cloud computing. Building on the Introduction to Data Science course, this course places more emphasis on advanced statistical methods and applications. This class is highly applied and is meant to prepare students for roles in either computational social science or applied data science in the public sector. Students are expected to have a familiarity with the R programming language, Quarto, Git, and the fundamentals of predictive modeling. Introduction to Data Science (PPOL 670, PPOL 6803 , or GOVT 8009 ) is a prerequisite.