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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 equips you with practical tools to design and assess programmes with reliable impact estimates. You will learn about DAGs, counterfactuals, matching, weighting, regression, and instrumental variables, along with preparing data, running diagnostics, and performing robustness checks. Using R or Python, you will create reproducible workflows, communicate findings clearly, and use evidence to make sound policy and investment decisions.

Elevify advantages

Develop skills

  • Causal DAG design: construct clear DAGs to reveal bias and valid identification paths.
  • Regression for impact: estimate strong treatment effects with a sharp economics focus.
  • Matching and weighting: use PS, IPW, and diagnostics for balanced comparisons.
  • Instrumental variables: implement 2SLS and justify LATE assumptions in policy contexts.
  • 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 the chosen one.
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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