PR Stats

Live online course on end-to-end single cell RNA-seq analysis, taught by Frances Turner, a bioinformatician at the University of Edinburgh with vast experience supporting real research projects

16–19 March
prstats.org/course/singl...

#PhDStudents #SingleCell #Bioinformatics #Genomics #DataScience

Advanced Python for Ecologists and Evolutionary Biologists - PR Stats Advanced Python for Biologists (APYB01) builds on core Python skills to teach advanced features, including OOP, functional programming, testing, and performance profiling. Designed for biologists solv...

Live online course on advanced Python for biological research, taught by Martin Jones, founder of Python for Biologists and former Lecturer in Bioinformatics at the University of Edinburgh.

23–26 March
Details: prstats.org/course/advan...

#PhDStudents #Python #Bioinformatics #ComputationalBiology

Deep Learning using R (DLUR01) | PR Statistics A two day online course introducing deep learning in R using the torch package. Learn neural network foundations, training workflows, MLPs, CNNs and transformer models, implement a minimal GPT, and ap...

Live online course on deep learning using R, taught by Mark Andrews, Senior Lecturer in Psychology with extensive experience in Bayesian modelling, statistical computing, and machine learning.

21–22 April
prstats.org/course/deep-...

#PhDStudents #DeepLearning #RStats #MachineLearning #DataScience

Multivariate Analysis of Ecological Communities Using VEGAN (VGNR09) - PR Stats Analyse ecological community data in R using VEGAN. Learn ordination, clustering, and multivariate statistics with real datasets.

Live online course!

On community ecology analysis using vegan in R, taught by Antoine Becker-Scarpitta, a community and forest ecologist with extensive experience in applied ecological modelling

20–24 April
prstats.org/course/multi...

#PhDStudents #Ecology #RStats #CommunityEcology #Biodiversity

Deep Learning Using Python (DLUP01) - PR Stats Learn deep learning with Python and PyTorch in this two day online course. Build neural networks, CNNs and transformer models, implement training workflows, and work with real datasets. Ideal for rese...

Deep learning with real research data

Live online course on deep learning using Python, taught by Mark Andrews, an experienced instructor in applied modelling and computational methods

14–15 April
Details prstats.org/course/deep-...

#PhDStudents #DeepLearning #Python #MachineLearning #DataScience

Python for Data Science and Statistical Computing (PYDS01) - PR Stats A two day online course teaching Python for data science and statistical computing. Learn programming essentials, NumPy, Pandas, data visualisation, and basic statistical analysis using real datasets....

Practical Python for data science and statistical computing in PhD research.

Taught by Mark Andrews, Senior Lecturer in Psychology and long standing instructor in applied Bayesian data analysis.

7–8 April
Details: prstats.org/course/pytho...

#PhDStudents #Python #DataScience #BayesianStatistics

Python for Biological Data Exploration and Visualization | PR Statistics Master data exploration and visualisation techniques using Python. This practical course is designed for researchers and scientists with basic Python experience. Learn to clean, analyse, and present b...

Live online course on Python for biological data exploration and visualisation, taught by Martin Jones, founder of Python for Biologists and former Lecturer in Bioinformatics at the University of Edinburgh

2–5 March 2026
prstats.org/course/pytho...

#PhDStudents #Python #Bioinformatics #DataScience

Bayesian Modelling Using R-INLA | PR Statistics A five day online course introducing Bayesian inference and the INLA methodology using R-INLA. Learn model fitting, GLMMs, multilevel and spatial models, priors, latent effects, imputation, and advanc...

Live online course on Bayesian modelling with R-INLA, taught by Virgilio Gómez-Rubio, author of Bayesian Inference with INLA and a leading contributor to the R Bayesian ecosystem.

23–27 February
Details: prstats.org/course/bayes...

#PhDStudents #BayesianStatistics #RStats #DataScience #Statistics

Introduction to Processing and Analysis of Spatial Multiplexed Proteomics Data | PR Statistics This 5-day live online course provides a comprehensive introduction to processing and analysing spatial multiplexed proteomics data from imaging platforms such as CODEX, MACSIMA, and CycIF. Participan...

Spatial Multiplexed Proteomics Data course 9 to 13 Feb

An intro to processing fluorescence microscopy taught by Dr Victor Perez Meza, an image analysis specialist focused on artefact correction

prstats.org/course/intro...

#SpatialProteomics #SpatialOmics #ImageAnalysis #Microscopy #Bioinformatics

Deep Learning Using Python - PR Stats Learn deep learning with Python and PyTorch in this two day online course. Build neural networks, CNNs and transformer models, implement training workflows, and work with real datasets. Ideal for rese...

Deep Learning Using Python course 12–13 Feb. A practical introduction to neural networks, model training, and applied deep learning workflows. Led by Dr Mark Andrews, an experienced instructor in data science and machine learning.

prstats.org/course/deep-...

#DeepLearning #Python #MachineLearning

Introduction to Python for Ecologists and Evolutionary Biologists - PR Stats Introduction to Python for Biologists (IPYB01) is a beginner-friendly course that equips researchers with essential programming skills for bioinformatics. Using biological examples, the course teaches...

Introduction to Python for Biologists
26–29 Jan | Online

A hands-on 4-day course for life scientists new to coding. Learn to build reproducible workflows using Python.

prstats.org/course/introduction-to-python-for-biologists-ipyb01
#Python #Bioinformatics #LifeSciences #DataAnalysis #Programming

Bayesian SDM in R | PR Statistics A hands-on course in Bayesian species distribution modelling using R. Learn to incorporate uncertainty and make robust ecological predictions for conservation and environmental management.

Our Bayesian Species Distribution Modelling course runs 27 to 29 Jan
Three days of applied SDM, spatial workflows, and reproducible Bayesian modelling taught by Dr Márcia Barbosa, a leader in open ecological modelling

prstats.org/course/speci...

#SDM #Ecology #Bayesian #RStats #GIS #SpatialEcology

RNA-Seq Analysis | PR Statistics Master RNA-Seq data analysis with this comprehensive live online course. Across four days, participants will learn how to design RNA-Seq experiments, process raw sequencing data, perform quality contr...

Our RNA-seq Analysis course runs 26 to 29 Jan.

A practical introduction to processing and analysing transcriptomic data in R, taught by Dr Frances Turner. From raw reads to expression and interpretation.

prstats.org/course/rna-s...

#RNAseq #Bioinformatics #Genomics #Transcriptomics #NGS #RStats

Bayesian SDM in R | PR Statistics A hands-on course in Bayesian species distribution modelling using R. Learn to incorporate uncertainty and make robust ecological predictions for conservation and environmental management.

Species Distribution Modelling with Bayesian Statistics
27–29 Jan

Learn how to build, run, and interpret Bayesian species distribution models in R.

Dr Márcia Barbosa

prstats.org/course/species-distribution-modelling-with-bayesian-statistics-sdmb07
#Ecology #Rstats #Bayesian #Biodiversity #SDM

RNA-Seq Analysis | PR Statistics Master RNA-Seq data analysis with this comprehensive live online course. Across four days, participants will learn how to design RNA-Seq experiments, process raw sequencing data, perform quality contr...

RNA-seq Analysis using R
26–29 Jan |

A practical 4-day course covering the full RNA-seq workflow from raw reads to results using R and leading bioinformatics tools.

Instructor: Dr Frances Turner

prstats.org/course/rna-seq-analysis-rnaa01
#RNAseq #Transcriptomics #Bioinformatics #Genomics #Rstats

Congratulations!

Our winner for best short talk at #UKIRSC26 was Josh Symes “Risso’s dolphins of the South-West” 🏆🐬

Thank you to @prstats.bsky.social and Whales et al. ART for sponsoring this prize!

Introduction to Generalised Linear Mixed Models for Ecologists | PR Statistics A five day online course introducing linear models, GLMs, and multilevel models for ecological data using R, lme4, and rstanarm. Learn regression, ANOVA, interactions, diagnostics, overdispersion, zer...

GLMM for Ecologists course 2-6 Feb.

A practical introduction to building mixed models in R. Taught by Dr Andrew MacDonald, a statistician focused on connecting ecological theory with expressive statistical models

prstats.org/course/intro...

#GLMM #Ecology #RStats #MixedModels #DataAnalysis

Python for Data Science and Statistical Computing - PR Stats A two day online course teaching Python for data science and statistical computing. Learn programming essentials, NumPy, Pandas, data visualisation, and basic statistical analysis using real datasets....

Our Python for Data Science and Statistical Computing course runs 9 to 10 Feb. A practical introduction to data manipulation, visualisation, and statistical workflows

Taught by Dr Mark Andrews.

prstats.org/course/pytho...

#Python #DataScience #StatisticalComputing #ResearchSkills #MachineLearning

Deep Learning Using Python - PR Stats Learn deep learning with Python and PyTorch in this two day online course. Build neural networks, CNNs and transformer models, implement training workflows, and work with real datasets. Ideal for rese...

Deep Learning Using Python course 12–13 Feb. A practical introduction to neural networks, model training, and applied deep learning workflows. Led by Dr Mark Andrews, an experienced instructor in data science and machine learning.

prstats.org/course/deep-...

#DeepLearning #Python #MachineLearning

Introduction to Processing and Analysis of Spatial Multiplexed Proteomics Data | PR Statistics This 5-day live online course provides a comprehensive introduction to processing and analysing spatial multiplexed proteomics data from imaging platforms such as CODEX, MACSIMA, and CycIF. Participan...

Spatial Multiplexed Proteomics Data course 9 to 13 Feb

An intro to processing fluorescence microscopy taught by Dr Victor Perez Meza, an image analysis specialist focused on artefact correction

prstats.org/course/intro...

#SpatialProteomics #SpatialOmics #ImageAnalysis #Microscopy #Bioinformatics

Python for Data Science and Statistical Computing - PR Stats A two day online course teaching Python for data science and statistical computing. Learn programming essentials, NumPy, Pandas, data visualisation, and basic statistical analysis using real datasets....

Our Python for Data Science and Statistical Computing course runs 9 to 10 Feb. A practical introduction to data manipulation, visualisation, and statistical workflows

Taught by Dr Mark Andrews.

prstats.org/course/pytho...

#Python #DataScience #StatisticalComputing #ResearchSkills #MachineLearning

Introduction to Generalised Linear Mixed Models for Ecologists | PR Statistics A five day online course introducing linear models, GLMs, and multilevel models for ecological data using R, lme4, and rstanarm. Learn regression, ANOVA, interactions, diagnostics, overdispersion, zer...

GLMM for Ecologists course 2-6 Feb.

A practical introduction to building mixed models in R. Taught by Dr Andrew MacDonald, a statistician focused on connecting ecological theory with expressive statistical models

prstats.org/course/intro...

#GLMM #Ecology #RStats #MixedModels #DataAnalysis

Species‐observer link and kernel density estimation of background points allow for sampling bias correction in bird species distribution models Species distribution models (SDMs), broadly referring to both species distribution and ecological niche modelling frameworks, are widely used to predict habitat suitability. However, their performanc...

Last contribution! We propose a novel method for sampling bias correction by weighting observer kernel densities for individual species with the relative observers' contribution to the total number of focus species presences.
nsojournals.onlinelibrary.wiley.com/doi/10.1002/...

Model Selection and Model Simplification | PR Statistics This two-day course offers practical, hands-on training in statistical model selection, comparison, and evaluation using R. Participants will learn to choose among competing models, handle multiple pr...

Model Selection and Model Simplification using R
Choose, compare, and refine models from AIC and BIC to cross-validation and averaging
Instructor: Dr Mark Andrews

9–10 Dec

prstats.org/course/model-selection-and-model-simplification-msms06
#Statistics #Rstats #DataAnalysis #ModelSelection #Bayesian

Multivariate Analysis of Ecological Communities Using VEGAN - PR Stats Multivariate Analysis of Ecological Communities Using VEGAN (VGNR08) is a five-day intensive online course that teaches participants how to analyse ecological community data using the VEGAN package in...

Learn to apply multivariate methods in R to analyse ecological community data with the vegan package

8–12 Dec | Online

Dr Antoine Becker-Scarpitta, CIRAD

prstats.org/course/multivariate-analysis-of-ecological-communities-using-vegan-vgnr08
#Ecology #Rstats #Biodiversity #CommunityEcology #VeganR

Ecotrends: an R package for estimating habitat suitability trends over time ecotrends is an R package that provides a comprehensive framework for assessing species vulnerability by analysing temporal trends in habitat suitabil…

ecotrends is an R package for assessing species vulnerability through the analysis of temporal habitat suitability trends.
Ecotrends: an R package for estimating habitat suitability trends over time
www.sciencedirect.com/science/arti...

We’re expanding and looking for qualified researchers and academics to teach online courses in:
– Single-cell & spatial omics
– Genomics
– Ecological statistics
– Species distribution modelling

If you have hands-on experience and a passion for teaching, we’d love to hear from you.
DM for more info.

Bayesian SDM in R | PR Statistics A hands-on course in Bayesian species distribution modelling using R. Learn to incorporate uncertainty and make robust ecological predictions for conservation and environmental management.

Our Bayesian Species Distribution Modelling course runs 27 to 29 Jan
Three days of applied SDM, spatial workflows, and reproducible Bayesian modelling taught by Dr Márcia Barbosa, a leader in open ecological modelling

prstats.org/course/speci...

#SDM #Ecology #Bayesian #RStats #GIS #SpatialEcology

RNA-Seq Analysis | PR Statistics Master RNA-Seq data analysis with this comprehensive live online course. Across four days, participants will learn how to design RNA-Seq experiments, process raw sequencing data, perform quality contr...

Our RNA-seq Analysis course runs 26 to 29 Jan.

A practical introduction to processing and analysing transcriptomic data in R, taught by Dr Frances Turner. From raw reads to expression and interpretation.

prstats.org/course/rna-s...

#RNAseq #Bioinformatics #Genomics #Transcriptomics #NGS #RStats