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Learn the Basics of Causal Inference with R

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Overview

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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
  • Difference in Differences: Learn about the difference in differences method for causal inference.
    • Lesson: Difference in Differences for Causal Inference
    • Quiz: Difference in Differences
    • Project: Enhanced Recovery After Surgery

Taught by

Andrea Hassler

Reviews

4.7 rating at Codecademy based on 21 ratings

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