The main aim of this course is to teach you the foundations of Bayesian statistics.
We use hands-on examples in R to understand the intuition behind the Bayesian approach.
Instructor: András Aszódi.
Online exercises are available when this course is running. Please select
the option “Bayes” from the dropdown in the “Request an exercise notebook” form.
We cannot go into the specific data analysis problems of your particular project.
Note that “Bayesian statistics” is a huge subject and this introductory course
only teaches you the basics.
Good knowledge of how to calculate probabilities and familiarity with
discrete and continuous distributions are required.
If you attended our Think Statistics! with R training
then you are well prepared.
In addition, some basic familiarity with R is required.
Our R as a programming language training
provides a good foundation.
Number of participants: minimum 5, maximum 10.
Length: The course takes one half-day,
from 09:00 to 13:00 with 2 breaks.
Please provide affiliated Organisation, and your use-case or resource use estimation (CPU-hours, GPU-hours, Memory)