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Codecademy

Matching and Weighting Methods for Causal Inference

via Codecademy

Overview

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One of the biggest challenges data scientists face is having sparse data to answer your question. This course will introduce you to some of the most common techniques for balancing data into treatment and control groups, estimating treatment effects, and making the most of the data that you do have.

Syllabus

  • Matching and Weighting Methods: Learn about matching and weighting methods including stratification and propensity scores!
    • 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
    • Article: Next Steps

Taught by

Kenny Lin

Reviews

3.6 rating at Codecademy based on 7 ratings

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