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Causal Inference with Python

Applied methods for product data science and interviews.

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Causal Inference with Python course illustration showing Python code and observed versus counterfactual outcome lines

$20 per month, billed yearly

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  • 4,000+ Interview Questions
  • 20+ Courses - DS, DE, MLE
  • Detailed Solutions in Texts and Videos
  • Created by Engineers at Meta and Google
  • Lifetime Slack Community Access
Dan Lee
Dan Lee

Data & AI Lead

Last updated

About the Course

Most causal inference courses start with estimators. This one starts with a product decision. You will define the treatment, outcome, unit, estimand, assumptions, and falsification checks before choosing a method.


Then use Python, pandas, statsmodels, and scikit-learn on realistic feature, pricing, growth, and marketplace cases.

Explore the Course

Causal Inference with Python course illustration showing Python code and observed versus counterfactual outcome lines

$20 per month, billed yearly

Join Premium
  • 4,000+ Interview Questions
  • 20+ Courses - DS, DE, MLE
  • Detailed Solutions in Texts and Videos
  • Created by Engineers at Meta and Google
  • Lifetime Slack Community Access