Causal inference Course
This course builds expertise in causal inference for economics and policy. Clean and analyse data, construct DAGs, implement matching, regression, and IV techniques, perform robustness tests, and convert programme data into trustworthy impact assessments for informed business or policy decisions. Ideal for turning evidence into action.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Gain practical skills in causal inference to design and assess programmes with reliable impact results. Master DAGs, counterfactuals, matching, weighting, regression, and instrumental variables, along with data prep, checks, and diagnostics. Use R or Python for repeatable workflows, clear reporting, and data-driven policy or investment choices.
Elevify advantages
Develop skills
- Design causal DAGs to identify biases and valid paths clearly.
- Estimate treatment effects using regression with economic insights.
- Implement propensity score matching, IPW, and balance diagnostics.
- Apply 2SLS instrumental variables and justify LATE in real policies.
- Create reproducible workflows for transparent causal analysis.
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.What our students say
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