Statistics Course For Data Science

What will I learn?
Ithute go dirisa maatla a tshedimosetso ka Khoso ya rona ya Dipalopalo tsa Go Sekaseka Tshedimosetso, e e diretsweng batho ba ba dirang ka Botlhale jwa Kgwebo (Business Intelligence). Ithute ka botlalo go leka dikakanyo (hypothesis testing), o bo o itse thata boleng jwa p (p-values), diteko tsa t (t-tests), le ANOVA. Tokafatsa bokgoni jwa gago jwa go kwala dipego ka go tlhalosa dintlha sentle le go dira ditshwetso tse di siameng. Ithute ka tshekatsheko ya kgolagano (regression analysis), go akaretsa go lekana ga mofuta le mekgwa e e farologaneng. Nonotsha bokgoni jwa gago jwa go phepafatsa le go baakanya tshedimosetso, mme o itse thata go sekaseka tshedimosetso ya thekiso ka go kgaoganya bareki ka ditlhopha le go bona gore dilo di fetoga jang. Godisa tsela e o bonang tshedimosetso ka yone ka di-histogram, dichate tsa mephakalatsa, le dikerafo tsa mela. Ikopanye le rona jaanong go fetola bokgoni jwa gago jwa tshedimosetso!
Elevify advantages
Develop skills
- Itse thata go leka dikakanyo: Sekaseka tshedimosetso ka boleng jwa p (p-values), diteko tsa t (t-tests), le ANOVA.
- Kwala dipego tse di tlhaloganyesegang: Tlhalosa dintlha ka nepagamo le ka phepafalo.
- Itse thata kgolagano (regression): Dirisa mefuta e e tlhamaletseng le e e farologaneng sentle.
- Phepafatsa o bo o baakanye tshedimosetso: Netefatsa gore e nepagetse ka go e fetola le go e tlhatlhoba.
- Bona tshedimosetso ka pono e e tsabakelang: Dira dichate le dikerafo tse di nang le mosola go bona dintlha botoka.
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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