In Brief: "Correlation is not causation." We hear it all the time, but how do we actually prove an effect? This video is the second part of our mini course on application of Causal Inference in data science.
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moral hazard - Parallel data trends - Calculating the treatment effect - Assumptions for a valid This video is the second part of our mini course on application of Causal Inference in data science. "Correlation is not causation." We hear it all the time, but how do we actually prove an effect?
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- moral hazard - Parallel data trends - Calculating the treatment effect - Assumptions for a valid
- "Correlation is not causation." We hear it all the time, but how do we actually prove an effect?
- This video is the second part of our mini course on application of Causal Inference in data science.
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