flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This Causal Inference Course gives you practical tools to design and evaluate programs with credible impact estimates. Learn DAGs, counterfactuals, matching, weighting, regression, and instrumental variables, plus data preparation, diagnostics, and robustness checks. Using R or Python, you will build reproducible workflows, communicate results clearly, and turn evidence into confident policy and investment decisions.
Elevify advantages
Develop skills
- Causal DAG design: build clean DAGs to expose bias and valid identification paths.
- Regression for impact: estimate robust treatment effects with clear economics focus.
- Matching and weighting: apply PS, IPW, and diagnostics for balanced comparisons.
- Instrumental variables: run 2SLS and defend LATE assumptions in policy settings.
- Reproducible causal workflows: code, document, and report transparent impact studies.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workloadWhat our students say
Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.

Giulio CarloPrompt Engineering Student
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