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Causal Inference Course
Get ready to understand how to figure out what *really* causes things to happen, specially for people who work with money and how the country runs. This course will teach you how to collect and look after data, including cleaning it up and dealing with data that's missing. You'll learn the main ideas behind finding causes and why it's important for deciding if government programs are working. You'll also get to use computer programs to do stats, use regression to understand data, and read the results. By the end, you'll know how to explain what you find clearly, using methods like Instrumental Variables and Regression Discontinuity Design, so you can advise the government on what to do.
- Master data cleaning: Make sure the economic data we use is correct and reliable for good analysis.
- Handle missing data: Learn ways to deal with datasets that don't have all the information.
- Apply causal inference: Use advanced ways to see if government programs are actually making a difference.
- Conduct regression analysis: Understand complex economic relationships very well.
- Communicate findings: Explain what the data shows in a way that everyone can understand and that convinces them.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Get ready to understand how to figure out what *really* causes things to happen, specially for people who work with money and how the country runs. This course will teach you how to collect and look after data, including cleaning it up and dealing with data that's missing. You'll learn the main ideas behind finding causes and why it's important for deciding if government programs are working. You'll also get to use computer programs to do stats, use regression to understand data, and read the results. By the end, you'll know how to explain what you find clearly, using methods like Instrumental Variables and Regression Discontinuity Design, so you can advise the government on what to do.
Elevify advantages
Develop skills
- Master data cleaning: Make sure the economic data we use is correct and reliable for good analysis.
- Handle missing data: Learn ways to deal with datasets that don't have all the information.
- Apply causal inference: Use advanced ways to see if government programs are actually making a difference.
- Conduct regression analysis: Understand complex economic relationships very well.
- Communicate findings: Explain what the data shows in a way that everyone can understand and that convinces them.
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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