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Causal inference Course

Causal inference Course
from 4 to 360h flexible workload
certificate valid in your country

What will I learn?

This Causal Inference Course provides practical tools to design and evaluate programmes 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 workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What 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 Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
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 Carlo
Giulio CarloPrompt Engineering Student

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