"Get Up and Running in Bayesian Data Analysis"
A one-day course, Monday 25 November 2019, Farringdon, central London
Bayesian data analysis is a powerful tool for inferential statistics and
prediction, and this one-day course will get you up to speed with doing
Bayesian data analysis using R or python. The goal of the course 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 Bayesian
analyses in R or python and will be setup to learn about more advanced
Bayesian techniques. The target audience you with little or no knowledge
of Bayesian statistics, but with basic knowledge of R and/or Python.
Part one of the tutorial will introduce Bayesian modelling from a
simulation-based perspective. Part two will introduce three packages for
doing Bayesian data analysis: Rstanarm, PyMC3 GLM, and Facebook's
Prophet. Part three will introduce you to the popular and powerful Stan
framework for building and running flexible Bayesian models in R and Python.
The course will be taught by Rasmus Bååth, a popular blogger and
YouTuber on Bayesian methods, based at Lund University in Sweden, and
King (makers of Candy Crush). Rasmus is particularly interested in
making Bayes accessible to beginners and has experience through academic
teaching, writing and creating online courses.
There is a reduced price for students and unwaged participants at GBP
125 including VAT -- email [log in to unmask] to get this or if you
want an invoice prior to paying through your organisation. Full price is
GBP 270 and can be booked at
Data Sherpa, BayesCamp
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Training & coaching: Bayesian models & data visualisation
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