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Bayesian Statistics Course

Bayesian Statistics Course
from 4 to 360h flexible workload
certificate recognized by MEC

What will I learn?

Notlolla matla a Dipalo-palo tsa Bayesian ka thupelo ya rona e pharalletseng e etseditsweng ditsebi tsa dipalo-palo. Kena ka hare ho Mekgwa ya Bayesian Inference, o tsebe Theorem ya Bayesian, mme o hloaea dikarolo tsa Prior le Posterior Distributions. Ithute ho bokella, ho hlwekisa le ho hlophisa data ka nepo, mme o fane ka diphumaneho tsa hao ka ho hlaka. Ntlafatsa boiphihlelo ba hao ba ho etsa diqeto ka Bayesian Analysis mme o dule o le kapele ho mekgwa ya mmaraka. Kena hona jwale ho phahamisa tsebo ya hao ya dipalo-palo ka dikahare tse sebetsang le tsa boleng bo hodimo.

Elevify advantages

Develop skills

  • Tseba Bayesian inference: Sekaseka data ka nepo le ka tshepo.
  • Ntlafatsa priors: Kopanya data e ntjha bakeng sa dipredikshene tse nepahetseng tsa dipalo-palo.
  • Bona data ya Bayesian: Theha dikerafo tse hlakileng le tse qobellang tsa dipalo-palo.
  • Fana ka diphumaneho: Fetolela diphetho tse rarahaneng bakeng sa bamamedi bao e seng ditsebi.
  • Etsa diqeto tse nang le tsebo: Sebedisa tlhahlobo ya Bayesian bakeng sa temohisiso ya maqheka.

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.
Workload: between 4 and 360 hours

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