Data Science Basics Course
What will I learn?
Thibolla maatla a data ka Thuto ya Motheo ya Data Science, e e rulaganyeditsweng badiri ba thuto. Ithute ka botlalo dikgopolo tsa botlhokwa jaaka go kgobokanya data, go e phepafatsa, le go e bontsha ka mokgwa o o bonolo. Ithute ditsela tsa go sekaseka data, go balela dipalo, go dira diteko tsa hypothesis, go senola mekgwa le ditiragalo. Ithute go tlhaloganya dipoelo le go di tlhalosa sentle, o ntse o itshwareletse botho jwa data le tshiamo. Oketsa maduo a gago mo thutong ka ditsela tse di mosola e bile e le tsa maemo a a kwa godimo mo thutong e e tseneletseng e e ka ithutelwang ka nako e o e ratang.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Ithute go kgobokanya data ka botswerere: Ithute mekgwa e e mosola ya go kgobokanya mefuta e e farologaneng ya data.
Phepafatsa data ka bonako: Dirisa mekgwa ya go netefatsa gore data e nepagame e bile e ka ikanngwa.
Bontsha data ka tsela e e kgatlhang: Dira ditshwantsho tse di kgatlhang go senola mekgwa le ditiragalo.
Sekaseka data ka go dirisa dipalo: Dira regression le diteko tsa hypothesis ka botswerere.
Tlhalosa dipoelo sentle: Tlhabolola bokgoni jwa go bega dipoelo tsa data ka botswerere le ka botho.
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.