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Potential Outcomes Framework for Causal Inference

Offered By: Codecademy

Tags

Causal Inference Courses Data Analysis Courses R Programming Courses

Course Description

Overview

Use the Potential Outcomes Framework to estimate what we cannot measure.

You hear it all the time: "correlation is not causation." By taking this course, you'll find out what causation really is. Leverage the Potential Outcomes Framework to think counterfactually, and develop a formal language for causal inference.




### Take-Away Skills
In this course, you will learn the conceptual foundations for determining causal inference and how to work with data to understand why things happen. You'll develop a framework to think about problems counterfactually using the Potential Outcomes Framework.

[Some knowledge of R](https://www.codecademy.com/learn/learn-r) is required.


Syllabus

  • Conceptual Foundations of Causal Inference: Establish a conceptual foundation for causal inference. Think counterfactual, and estimate what you want to know.
    • Lesson: Potential Outcomes Framework
    • Article: Finding Causal Effects
    • Quiz: Causal Inference Foundations
    • Article: Next Steps

Taught by

Kenny Lin

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