14.310x Data Analysis for Social Scientists (Spring 2023, MIT OCW). Instructors: Prof. Esther Duflo and Dr. Sara Ellison. This course introduces methods for harnessing data to answer questions of cultural, social, economic, and policy interest. We will start with essential notions of probability and statistics. We will proceed to cover techniques in modern data analysis: regression and econometrics, design of experiments, randomized control trials (and A/B testing), machine learning, and data visualization. We will illustrate these concepts with applications drawn from real-world examples and frontier research. Finally, we will provide instruction on the use of the statistical package R, and opportunities for students to perform self-directed empirical analyses.
(from ocw.mit.edu)
Lecture 16 - (M0re) Explanatory Data Analysis: Nonparametric Comparisons and Regressions