Learn the Basics of Causal Inference with R

Discover the principles of causation and causal inference in this Linear Regression in R course. Learn foundational concepts and advanced techniques like matching, weighting, and difference-in-differences to explore why things happen. Develop skills to isolate variables, work with complex datasets, and interpret your analysis effectively.

Syllabus

Causal Inference Course Welcome: Welcome to Causal Inference!

Informational: Introduction and Course Overview

Conceptual Foundations of Causal Inference: Learn the conceptual foundations of causal inference.

Lesson: Potential Outcomes Framework
Article: Finding Causal Effects
Quiz: Causal Inference Foundations

Matching and Weighting Methods: Learn about matching and weighting methods for causal inference.

Article: Introduction to Matching and Weighting Methods
Article: Introduction to Stratification
Lesson: Propensity Scores
Quiz: Matching and Weighting Quiz
Project: Impact of Cover Crops on Wheat Crop Yields

Regression Discontinuity Design and Instrumental Variables: Learn about regression discontinuity design and instrumental variables for causal inference.

Lesson: Regression Discontinuity Design
Lesson: Instrumental Variables
Quiz: RDD and IV Quiz
Project: Effect of Emergency Weather Systems on Transit Times