Causal Inference Course
What will I learn?
Ithute ka botlalo go sekaseka mabaka a dilo ka thuto e e tseneletseng e e diretsweng baitsanape ba tsa ikonomi. Tsenelela mo kgobokanyong le tsamaiso ya data, o ithuta mekgwa e e jaaka go phepafatsa data le go samagana le data e e tlhokafalang. Ithute ka dikgopolo tsa botlhokwa tsa go sekaseka mabaka a dilo le botlhokwa jwa tsone mo tshekatshekong ya dipholisi. Nna le maitemogelo a go dirisa mananeo a dikhomputara tsa dipalo, tshekatsheko ya regression, le go tlhaloganya dipoelo. Ithute go tlhalosa dipoelo ka bokgabane, o dirisa mekgwa e e jaaka Instrumental Variables le Regression Discontinuity Design go dira ditshwetso tse di theilweng mo go utlwaleng mabapi le dipholisi.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Ithute go phepafatsa data: Netefatsa gore tshekatsheko ya data ya ikonomi e nepagame e bile e ka ikanngwa.
Samagana le data e e tlhokafalang: Tlhabolola maano a go samagana le data e e sa felelang ka bokgabane.
Dirisa causal inference: Sekaseka seabe sa dipholisi o dirisa mekgwa e e kwa godimo ya dipalo.
Dira tshekatsheko ya regression: Tlhaloganya dikamano tse di raraganeng tsa ikonomi ka nepagamo.
Tlhalosa dipoelo: Tlhalosa dintlha tse di theilweng mo dateng ka phepafalo le ka go kgothatsa.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Choose which chapter to start with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can add
You’ll be able to generate more chapters like the examples below
This is a free course, focused on 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.