Free
Course

Difference in Differences for Causal Inference

Learn how to use the difference in differences method to estimate effects by analyzing trends over time.

  • Skill level

    Advanced
  • Time to complete

    Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary
    1 hour
  • Certificate of completion

    Included with paid plans
  • Prerequisites

    None

About this course

Sometimes you want to know what would have happened anyhow. For example, if a law didn’t go into effect, or a virus hadn’t swept through a country. We might be able to see some effect, but might not know exactly what to attribute it to. Difference in differences is a technique to estimate those effects by analyzing trends over time.

Syllabus

The platform

Hands-on learning

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Meet the creator of the course
David Patlut
David studied Computer Science at the University of Massachusetts Amherst. He was previously a software engineering instructor at Fullstack Academy and New York Code & Design Academy.
David studied Computer Science at the University of Massachusetts Amherst. Prior to joining Codecademy, he was a software engineering instructor at Fullstack Academy and New York Code & Design Academy.

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Frequently asked questions about Difference in Differences for Causal Inference

  • Correlation isn’t causation, and it’s not enough to say that two things are related. We have to show proof, and the difference-in-differences technique is a causal inference method we can use to prove (as much as possible) that one thing causes another.

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