Steven Perry

This course teaches fundamental data visualization skills to undergraduate students in the Data Science minor. Students will learn how to create data visualizations in Python or R, how to design effective visualizations that account for visual perception, and how to explain and present data to technical and non-technical audiences.

Exploration of the role that public bureaucracy plays in national policy making. Includes an examination of sources of agency power, which are linked to different policy outcomes.

This course provides an in-depth introduction to the methods of program evaluation. The associated lab provides concrete examples for the students to gain practical experience in applying these methods. The methods presented will include: Randomized Controlled Trials, Instrumental Variables, Difference in Difference, Propensity Score Matching, and Regression Discontinuity Design. At the end of this course, students should be able to use these methods to conduct impact evaluations of social programs and to do a critical assessment of evaluations performed by others.