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Overview
Bayesian methods are becoming an increasingly popular approach to data analysis across a wide range of research fields. They offer a flexible and structured framework for statistical inference, differing fundamentally from traditional (frequentist) methods.
However, many researchers have limited opportunities to learn the core principles of Bayesian inference, making it challenging to apply these techniques effectively.
What you’ll study
By the end of the Introduction to Bayesian Data Analysis using R course at Nottingham Trent University, you will have a solid foundation in Bayesian analysis, giving you the confidence to apply these methods effectively in research and professional settings.
Programme Structure
Topics include:
- What is Bayesian Data Analysis?
- Bayes’ Rule in Action
- A Simple Bayesian Model
- Markov Chain Monte Carlo (MCMC) Methods
- Bayesian Linear Models
- Bayesian Model Evaluation and Comparison
- Extending the Linear Model
- Bayesian Generalised Linear Models (GLMs)
- Bayesian Multilevel and Mixed Effects Models
Key information
Duration
- Part-time
- 3 days
Start dates & application deadlines
- StartingApply anytime.
Language
English
Delivered
Online
Campus Location
- Nottingham, United Kingdom
Disciplines
Statistics Data Science & Big Data View 48 other Short Courses in Data Science & Big Data in United KingdomWhat 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 course is suitable for researchers, analysts, and data professionals working with statistical models. It is particularly relevant for:
- PhD students and early-career researchers looking to strengthen their statistical skills.
- Academics and applied researchers needing Bayesian methods for complex data analysis.
- Data analysts and statisticians aiming to enhance their modelling expertise.
- Industry professionals transitioning into data science roles.
- Familiarity with R programming is assumed.
- If you are new to R, we recommend Introduction to Statistics using R and RStudio before taking this course.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents480 GBP / full≈ 480 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents480 GBP / full≈ 480 GBP / full
Funding
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