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Causal Inference Course
Get ready to unlock the power of causal inference with our course designed specially for economics people in Senegal. We go deep into collecting and managing data, learning how to clean data and deal with data wey no complete. You go learn the important things about causal inference and why e dey important for judging how policy dey work. You go get chance to use statistical software, do regression analysis, and understand the results. You go learn how to talk about your findings well, using methods like Instrumental Variables and Regression Discontinuity Design to give good policy recommendations.
- Master data cleaning: Make sure your economic data analysis dey correct and reliable.
- Handle missing data: Learn ways to manage data wey no complete well-well.
- Apply causal inference: Judge how policy dey affect things using strong statistical methods.
- Conduct regression analysis: Understand difficult economic relationships with clarity.
- Communicate findings: Talk about the things wey you find from the data in a clear and convincing way.

flexible workload from 4 to 360h
certificate recognized by MEC
What will I learn?
Get ready to unlock the power of causal inference with our course designed specially for economics people in Senegal. We go deep into collecting and managing data, learning how to clean data and deal with data wey no complete. You go learn the important things about causal inference and why e dey important for judging how policy dey work. You go get chance to use statistical software, do regression analysis, and understand the results. You go learn how to talk about your findings well, using methods like Instrumental Variables and Regression Discontinuity Design to give good policy recommendations.
Elevify advantages
Develop skills
- Master data cleaning: Make sure your economic data analysis dey correct and reliable.
- Handle missing data: Learn ways to manage data wey no complete well-well.
- Apply causal inference: Judge how policy dey affect things using strong statistical methods.
- Conduct regression analysis: Understand difficult economic relationships with clarity.
- Communicate findings: Talk about the things wey you find from the data in a clear and convincing way.
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 workloadWhat our students say
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