Data Science And Analytics Course
What will I learn?
Ithute ka maatla a data ka Khoso ya rona ya Data Science le Ditlhatlhobo, e e diretsweng batho ba ba itseng ka Business Intelligence. Ithute ka dintlha tse di ka dirisiwang, ditlhatlhobo tsa dipoelo, le ponelopele ya data o dirisa Python. Nna le bokgoni mo ditlhatlhobong tsa statistical, kgaoganyo ya bareki, le mekgwa ya go tlhotlhomisa data. Tokafatsa bokgoni jwa gago jwa go tlhagisa dintlha go bua ka dikgakololo tse di theilweng mo dateng ka boammaaruri. Khoso e e khutshwane e e maêmô a a kwa godimo e go thusa ka didirisiwa tsa go fetola data go nna ditshwetso tsa kgwebo tsa maêmô a a kwa godimo, tsotlhe ka lebelo la gago.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Epulola dintlha tse di ka dirisiwang: Nna le bokgoni mo go tlhaloganyeng data go dira ditshwetso tsa maêmô a a kwa godimo.
Sekaseka dipoelo: Sekaseka meteri go oketsa maduo a kgwebo.
Bontsha data ka boammaaruri: Tlhamela diponelopele tse di nang le seriti o dirisa Python.
Dira ditlhatlhobo tsa statistical: Dirisa regression le diteko tsa kgopolo.
Kgaoganya bareki: Lemoga le go sekaseka ditlhopha tsa bareki tse di farologaneng.
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.