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Overview
Context
Bayesian estimation offers a flexible alternative to modeling techniques where the inferences depend on p-values.
In this Bayesian Regression Modeling with rstanarm course offered by Data Camp, you’ll be introduced to prior distributions, posterior predictive model checking, and model comparisons within the Bayesian framework. You’ll also learn how to use your estimated model to make predictions for new data.
What you will do during this course:
- A review of frequentist regression using lm(), an introduction to Bayesian regression using stan_glm(), and a comparison of the respective outputs.
- Learn how to modify your Bayesian model including changing the number and length of chains, changing prior distributions, and adding predictors.
- Learn how to determine if our estimated model fits our data and how to compare competing models.
- Learn how to use the estimated model to create visualizations of your model and make predictions for new data.
Programme Structure
Chapters
- Bayesian Linear Models
- Modifying a Bayesian Model
- Assessing Model Fit
- Presenting and Using a Bayesian Regression
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- New York City, United States
Disciplines
Statistics View 109 other Short Courses in Statistics in United StatesWhat students do after studying
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Academic 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
- This coursed is aimed at Advanced learners with strong experience in programming in R.
- This course is useful for anyone interested in developing a deeper understanding of Bayesian regression, especially data scientists, statisticians, analysts, and software developers.
PREREQUISITES
- Bayesian Modeling with RJAGS
- Introduction to Data Visualization with ggplot2
- Intermediate Regression in R
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions
Funding
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