Data Science And Data Analytics Course
What will I learn?
Tswinya maatla a data ka Kosi ya rona ya Data Science le Data Analytics, e e diretsweng bomankge ba Business Intelligence ba ba eletsegang go oketsa bokgoni jwa bone. Ithute ka mekgwa ya go tlhotlhomisa data, itse go dirisa data visualization, le go tlhaloganya popego e e rarakaneng ya data. Ithute go lemoga ditsela tse di tlwaelegileng, go bona diphoso, le go sobokanya data ka descriptive statistics. Tokafatsa bokgoni jwa gago mo go phepafatseng data, go e baakanya, le mekgwa ya go bolelela pele thekiso. Tlhama dikgakololo tse di ka dirisiwang mme o bone tlhaloganyo e e tletseng ka ga kgaoganyo ya bareki. Kosi e e fana ka diteng tse di sobokilweng, tsa maemo a a kwa godimo go godisa tiro ya gago mo go data analytics.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Itseng go dirisa data visualization: Dira dichate le dikerafo tse di nang le mosola go bona tlhaloganyo.
Dira ditlhotlhomiso tsa tshimologo: Senola mekgwa e e fitlhegileng mo dikgapetleng tsa data tse di rarakaneng.
Phepafatsa o bo o baakanye data: Netefatsa boammaaruri le go tshepega ga data.
Tlhama dipolelelopele tsa thekiso: Bolelela pele ditsela tse di tla latelwang mo isagong ka boammaaruri.
Kgaoganya bareki ka botlalo: Lemoga o bo o lebeletse batho ba ba botlhokwa.
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.