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Overview
Key facts
You'll learn to apply Bayesian methods to your own research and understand other people's results using Bayesian analysis.
University College London (UCL) offers the Bayesian Analysis - an Introduction programme.
Programme Structure
Courses include:
- understand the differences between frequentist and Bayesian methods
- understand the important features of Bayesian methods and how best to define them (e.g. priors and likelihoods)
- interpret Bayesian analysis results presented by others
- know how best to report/explain applied Bayesian analysis
- use WinBugs to apply Bayesian analysis
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
Data Analytics View 17 other Short Courses in Data Analytics in United KingdomAcademic 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
- The course is aimed at professionals who want to be able to understand the fundamental principles of Bayesian analysis to assist their own research as well as interpreting other people's findings.
- There are no pre-requisites but it's desirable to have a basic knowledge of statistics, i.e. notion of statistical inference, p-values and confidence intervals.
Tuition Fee
To always see correct tuition fees
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International
150 GBP/fullTuition FeeBased on the tuition of 150 GBP for the full programme during 1 days. -
National
150 GBP/fullTuition FeeBased on the tuition of 150 GBP for the full programme during 1 days.
Funding
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