Project-Based Data Science Course
What will I learn?
Oketsa bokgoni jwa gago jwa Botlhale jwa Kgwebo ka Thuto ya rona ya Saense ya Data e e Theilweng mo Diporojekeng. Ithute ka botlalo go sekaseka le go phepafatsa data, ithute mekgwa ya go samagana le boleng jo bo tlogetsweng, mme o tlhaloganye popego e e raraganeng ya data. Ithute go toloka maduo a ditlhotlhomiso, go ntsha dintlha tse di ka dirisiwang, le go di fetolela mo ditshwetsong tsa togamaano tsa kgwebo. To kafatsa bokgoni jwa gago jwa go supa data ka metswedi le mekgwa e e mosola. Tlhama dipego le ditlhagiso tse di gogelang tse di diretsweng bareetsi ba e seng ba boranyane. Nna le boitseanape mo dipalopalong tse di tlhalosang le mekgwa ya go phuthela, tsotlhe ka go dirisa dikarolo tse di sobokantsweng, tsa boleng bo bo kwa godimo, tse di itebagantseng le go itshimololela.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Ithute ka botlalo go phepafatsa data: Lemoga le go samagana le boleng jo bo tlogetsweng ka bonako.
Sekaseka dintlha tsa data: Fetolela dintlha tse di bonweng mo maano a kgwebo a a ka dirisiwang.
Supa data ka tsela e e mosola: Tlhama dichate le dikerafo tse di nang le seriti.
Kwala dipego tse di gogelang: Tlhaeletsana data le bareetsi ba e seng ba boranyane.
Dirisa mekgwa ya go phuthela: Diragatsa K-Means le go phuthela ka mokgwa wa thagahalo.
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.