Data Science W241

Experiments and Causal Inference

3 units

Course Description

This course introduces students to experimentation in the social sciences. This topic has increased considerably in importance since 1995, as researchers have learned to think creatively about how to generate data in more scientific ways, and developments in information technology have facilitated the development of better data gathering. Key to this area of inquiry is the insight that correlation does not necessarily imply causality. In this course, we learn how to use experiments to establish causal effects and how to be appropriately skeptical of findings from observational data.

Prerequisites

Data Science W201 and W203. MIDS students only.

Course History

Spring 2018

Instructor(s): D. Alex Hughes
Instructor(s): Daniel Hedblom
Instructor(s): Daniel Hedblom
Instructor(s): Daniel Hedblom
Instructor(s): D. Alex Hughes
Instructor(s): D. Alex Hughes

Fall 2017

Instructor(s): D. Alex Hughes
Instructor(s): D. Alex Hughes
Instructor(s): Daniel Hedblom
Instructor(s): Daniel Hedblom

Summer 2017

Instructor(s): D. Alex Hughes
Instructor(s): D. Alex Hughes
Instructor(s): D. Alex Hughes

Spring 2017

Instructor(s): D. Alex Hughes
Instructor(s): D. Alex Hughes

Last updated:

October 7, 2016