Advanced Quantitative Methods for Social Sciences





Title: Visiting Assistant Professor. Purdue University (2018, 2017).
Summary: The goal of this course is to equip students with the tools, and thus the responsibility, to conduct accountable quantitative social science. Students will learn advanced data analysis skills to implement and replicate methods that are now considered basic staples of quantitative science. Specically, we will study statistical learning techniques like linear regression, classication, sampling, subset selection, and unsupervised learning. By the end of this course, students will be empowered to conduct better, faster, and more effcient quantitative research, and to replicate or evaluate the research conducted by others.

Syllabus124 KB