Matching and Weighting Methods for Causal Inference

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Use matching, weighting, propensity scores, and stratification to prepare data for causal analysis.

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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.

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    Matching and Weighting Methods for Causal Inference
    Matching and Weighting Methods for Causal Inference
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