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Causal inference Course

Causal inference Course
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 workload
Workload: between 4 and 360 hours

What our students say

I was just promoted to Intelligence Advisor for the Prison System, and the Elevify course was crucial for me to be the chosen one.
EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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