# PR Stats: Providing training courses in statistics

> Expert\-led online courses in R, Python, Bayesian statistics and ecology\. Species distribution modelling, GLMs, machine learning and more\. Browse all courses\.

Generated by Yoast SEO v28.5, this is an llms.txt file, meant for consumption by LLMs.

## Pages
- [Recorded Courses](https://prstats.org/recorded-courses/)
- [Live Courses](https://prstats.org/live-courses/)
- [Home Page](https://prstats.org/)
- [Basket](https://prstats.org/basket/)
- [Contact](https://prstats.org/contact/)

## Products
- [IMLRPR RECORDED](https://prstats.org/course/introduction-to-machine-learning-imlrpr/): IMLRPR RECORDED
- [DERP01 ONLINE](https://prstats.org/course/designing-effective-research-posters-derp01/): DERP01 ONLINE
- [MGMC01 ONLINE](https://prstats.org/course/metagenomic-data-analysis-of-microbial-communities-mgmc01/): MGMC01 ONLINE
- [BMIN04 AN](https://prstats.org/course/bayesian-modelling-using-r-inla-bmin04/): BMIN04 AN
- [BMIN04 ONLINE](https://prstats.org/course/bayesian-modelling-using-r-inla-bmin04/): BMIN04 ONLINE

## Venues
- [Recorded](https://prstats.org/venue/recorded/)
- [Delivered remotely \(Finland\)](https://prstats.org/venue/delivered-remotely-finland/)
- [Delivered remotely \(Canada\)](https://prstats.org/venue/delivered-remotely-canada/)
- [Delivered remotely \(Australia\)](https://prstats.org/venue/delivered-remotely-australia/)
- [Delivered remotely \(Portugal\)](https://prstats.org/venue/delivered-remotely-portugal-2/)

## Organisers
- [Oliver Hooker \(Course Organiser\)](https://prstats.org/organiser/oliver-hooker/)
- [Dr\. Emmanuel Paradis](https://prstats.org/organiser/dr-emmanuel-paradis/)
- [Dr\. Andrew Parnell](https://prstats.org/organiser/dr-andrew-parnell/)
- [Dr\. Olivier Gauthier](https://prstats.org/organiser/dr-olivier-gauthier/)
- [Dr\. Doug McNeall](https://prstats.org/organiser/dr-doug-mcneall/)

## Events
- [Introduction to Machine Learning \(IMLRPR\)](https://prstats.org/course/introduction-to-machine-learning-imlrpr/): Learn machine learning in R with practical, hands\-on instruction\. Covers supervised, unsupervised models, interpretability, and evaluation in 40 hours\.
- [Designing Effective Research Posters \(DERP01\)](https://prstats.org/course/designing-effective-research-posters-derp01/): Learn how to design clear, engaging research posters using effective layouts, data visualisation, and scientific communication principles\.
- [Metagenomic Data Analysis of Microbial Communities \(MGMC01\)](https://prstats.org/course/metagenomic-data-analysis-of-microbial-communities-mgmc01/): Learn metagenomic data analysis for microbial communities\. Analyse shotgun sequencing data, profile microbiomes, and interpret microbial diversity using R\.
- [Bayesian Modelling Using R\-INLA Course \(BMIN04\)](https://prstats.org/course/bayesian-modelling-using-r-inla-bmin04/): Learn Bayesian modelling with the R\-INLA package\. Build, fit, and interpret INLA models, define priors and latent effects, and apply INLA to real data in a five day course\.
- [Path Analysis, Structural Equations, and Causal Inference for Biologists \(PSCB04\)](https://prstats.org/course/path-analysis-structural-equations-and-causal-inference-for-biologists-pscb04/): Learn path analysis and structural equation modelling in R\. Practical online training in causal inference and SEM workflows\.

## Instructors
- [Dr\. Jeferyd Yepes](https://prstats.org/instructor/dr-jeferyd-yepes/)
- [Dr\. Javier Fernández\-González](https://prstats.org/instructor/dr-javier-fernandez-gonzalez/)
- [Dr\. Miguel Angel Ibarra Arellano](https://prstats.org/instructor/msc-miguel-angel-ibarra-arellano/)
- [Dr\. Andrew MacDonald](https://prstats.org/instructor/dr-andrew-macdonald/)
- [Dr\. Gavin Simpson](https://prstats.org/instructor/dr-gavin-simpson/)

## Categories
- [Tutors](https://prstats.org/layout_category/tutors/)

## Product categories
- [Uncategorised](https://prstats.org/product-category/uncategorised/)

## Optional
- [Sitemap index](https://prstats.org/sitemap_index.xml)