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Causal inference Course

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

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

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