Overview

Causal Inference with R is the first course in a series on causal inference concepts and methods created by Duke University with support from eBay, Inc. Designed to teach you causal inference concepts, methods, and how to code in R with realistic data, this introduction focuses on how to interpret treatment effects, and how to explore and derive key summary statistics from dataframes. This course covers the following concepts:

• Basic concepts behind causal inference
• Introduction to treatment effects
• Cofounders, counterfactuals, and p-hacking