Causal Inference Course
What will I learn?
Open your eye to the power of causal inference with our well-put-together lessons wey dey tailor make e fit economics professionals. Enter inside data collection and management, you go master data cleaning and how to handle data wey dey miss. Explore important causal inference things and why e dey matter for policy evaluation. You go get experience with statistical software, regression analysis, and how to understand the results. Learn how to talk about wetin you find for clear way, using things like Instrumental Variables and Regression Discontinuity Design so you go fit give correct policy advice.
Apoia's Unique Features
Develop skills
Enhance the development of the practical skills listed below
Master data cleaning: Make sure say your economic data dey correct and reliable for analysis.
Handle missing data: Learn ways to manage data wey no complete well-well.
Apply causal inference: Evaluate how policy dey affect things using correct statistical methods.
Conduct regression analysis: Understand difficult economic relations with precision.
Communicate findings: Present wetin you see from the data for clear and convincing way.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and workload.
- Select which chapter to begin with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You can generate additional chapters like the examples below
This is a free course, aimed at personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.