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Statistics And Probability Course
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.
- 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.
from 4 to 360h flexible workload
certificate recognized by MEC
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.
Elevify advantages
Develop skills
- 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
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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