Statistics And Probability Course
What will I learn?
Bula maatla a data ka Khoso ya rona ya Dipalopalo le Go Akanyetsa Diphatlha, e e diretsweng batho ba ba eletsegang go nna dipalopalo tsa maemo a a kwa godimo. Ithute ka botlalo dikgopolo tsa diphatlha, itsenye mo go Bayesian le conditional probability, mme o sekaseke go phepafatsa data le tshekatsheko ya go e tlhatlhoba. Nna le bokgoni mo go direng diteko tsa hypothesis, dipalopalo tse di tlhalosang, le go supa data ka mokgwa o o bonalang. Ithute go dira ditshwetso tse di nang le botlhalefi, go tlhalosa diphitlhelelo ka bokgabane, le go dira dikgakololo tse di ikaegileng ka data. Totofatsa bokgoni jwa gago ka tshekatsheko ya correlation le regression, tsotlhe ka mokgwa o o sobokantsweng, wa maemo a a kwa godimo.
Apoia's Unique Advantages
Develop skills
Enhance the development of the practical skills listed below
Itseng Bayesian le conditional probability go dira ditshupo tsa data.
Phepafatsa le go sekaseka data go bona tlhatlhobo e e botlhale le go e baakanya.
Dira diteko tsa hypothesis mme o tlhalose diphatlha tsa p-values ka tshepho.
Supa data ka mokgwa o o bonalang go senola mekgwa e e masisi le pharologanyo.
Tlhalosa ditlhaloganyo le dikgakololo tse di ikaegileng ka data ka phepafalo.
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.