Overview
Context of the Bayesian Modeling with RJAGS course at Data Camp
The Bayesian approach to statistics and machine learning is logical, flexible, and intuitive.
These range in scope from fundamental one-parameter models to intermediate multivariate & generalized linear regression models.
The popularity of such Bayesian models has grown along with the availability of computing resources required for their implementation.
You will utilize one of these resources - the rjags package in R. Combining the power of R with the JAGS (Just Another Gibbs Sampler) engine, rjags provides a framework for Bayesian modeling, inference, and prediction.
Programme Structure
Chapters
- Bayesian Models & Markov Chains
- Bayesian Inference & Prediction
- Multivariate & Generalized Linear Models
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Computer Sciences Data Science & Big Data Machine Learning View 589 other Short Courses in Data Science & Big Data in United StatesAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
PREREQUISITES
- Fundamentals of Bayesian Data Analysis in R
- Introduction to the Tidyverse
Tuition Fee
To always see correct tuition fees
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
Basic Access: Free; Premium (for individuals): $12.42 per month billed annually; Teams: $25 per month billed annually; Enterprise: Contact sales for pricing
Funding
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