Thursday 04 Jul 17:30

Get up to speed with Bayesian data analysis in R

Hands On Data Science


LEVEL: Intermediate

Bayesian data analysis is a powerful tool for inferential statistics and prediction

and this 3 hour tutorial will get you up to speed with doing Bayesian data analysis using R.

The goal of the tutorial is for you to get an understanding of what Bayesian data analysis is and why it is useful.

After the tutorial you should be able to run simple Bayesian analyses in R.

Part ONE: The tutorial will introduce Bayesian modelling from a simulation-based perspective.

Part TWO: Introduction three packages for doing Bayesian data analysis: Rstanarm, Google's CausalImpact, and Facebook's Prophet.

Target audience:

The target audience is users with little or no knowledge of Bayesian statistics, but with basic knowledge of R.


Make sure to bring a laptop running R with the packages Rstanarm, CausalImpact, and Prophet installed.

To make sure these packages work try running the following script in an R session:


17.30-17.45 – Meet & Greet

17.45-18.30 – Part One - Introduction Bayesian modelling

18.30-19.00 – Meet & Eat

19.00-20.30 – Part Two - Baysian Data Analysis

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