Causal Inference Introduction

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Causal Inference is a set of tools used to scientifically prove cause and effect, very commonly used in economics and medicine. This series will go over the basics that any data scientist should understand about causal inference - and point them to the tools they would need to perform it.

I give a brief introduction and plug to the Causal Inference Series.
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Very much looking forward to the series. Love and appreciate all the videos you do.

ivansummers
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Love all of your content related Data Science. Please keep continue doing. You're really helping a lot. Live long 🙏

datanerd
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Looking forward to hearing what you say. I am doing my PhD in using machine learning to measure causal effects.

bevansmith