Experiments and Causal Inference


3 units

Course Description

This course introduces students to experimentation in data science. Particular attention is paid to the formation of causal questions, and the design and analysis of experiments to provide answers to these questions. 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 has facilitated the development of better data gathering.

Previously listed as Info 290.

Requirements Satisfied

MIMS: Social Science and Policy Requirement
Ph.D. Major/Minor Areas — Social Aspects of Information
Applied Data Science Certificate — Elective
Last updated: July 7, 2022