Causal Inference 2
By Coursera
on Coursera
· Data Science
About This Course
This course offers a rigorous mathematical survey of advanced topics in causal inference at the Master’s level. Inferences about causation are of great importance in science, medicine, policy, and business. This course provides an introduction to the statistical literature on causal inference that has emerged in the last 35-40 years and that has revolutionized the way in which statisticians and applied researchers in many disciplines use data to make inferences about causal relationships. We will study advanced topics in causal inference, including mediation, principal stratification, longitudinal causal inference, regression discontinuity, interference, and fixed effects models.
Instructor
Michael E. Sobel
Frequently Asked Questions
How much does Causal Inference 2 cost?
Visit the Causal Inference 2 course page for current pricing and available discounts.
Who teaches Causal Inference 2?
Causal Inference 2 is taught by Michael E. Sobel, Columbia University.
What skill level is Causal Inference 2 for?
This course is designed for beginner learners.