Data Science And Machine Learning Course
What will I learn?
Oketsa maduo a gago mo go tsa Business Intelligence ka Thuto ya Data Science le Machine Learning. Ithute bokgoni jwa go tsenya tirisong dikao, go netefatsa gore di ka okediwa le go kopanngwa sentle mo ditseleng tsa tsamaiso. Nna setswerere mo go begeng ka bokhutshwane ka go sobokanya diphitlhelelo, go bontsha lesedi la data, le go tlhama dikgakololo tse di tlhamaletseng. Ithute ka botlalo tshekatsheko ya data, go baakanya data, le go bolelela pele ka ARIMA le Prophet. Tokafatsa bokgoni jwa gago mo go thapeng dikao, go di sekaseka, le go baya dintlha sentle gore di nne le bokao jo bo siameng. Ikopanye le rona jaanong go fetola data go nna botlhale jo bo ka dirisiwang.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Nna setswerere mo go tsenyeng dikao tirisong: Netefatsa gore di ka okediwa le go kopanngwa sentle mo ditseleng tsa tsamaiso.
Tlhalosa lesedi: Baya data ka matlho le go tlhama dikgakololo tse di tlhamaletseng, tse di ka dirisiwang.
Dira EDA: Sekaseka mokgwa, ditlhatloso, le kgolagano ka botswerere.
Baakanya data: Tsibogela boleng jo bo tlogetsweng le go dira dipopego tsa nako.
Bolelela pele ka nepagamo: Dirisa ARIMA le Prophet go bona dipolelelopele tse di nepagetseng.
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.