PR Stats

Interactive Data Applications with Shiny (SHID01) Interactive Data Applications with Shiny is a hands-on R training course for researchers and data analysts who want to build interactive web applications using the Shiny framework. The course focuses ...

Turn your R analyses into interactive research tools

Live course on building interactive data applications with Shiny, taught by Mark Andrews, Senior Lecturer in Bayesian modelling and statistical computing

28–29 Apr
prstats.org/course/inter...

#RStats #Shiny #DataVisualization #DataScience

Stable Isotope Mixing Models Using SIBER, SIAR, MixSIAR (SIMM12) Stable Isotope Mixing Models Using SIBER, SIAR, and MixSIAR is a practical R training course for ecologists and environmental researchers using stable isotope data. The course focuses on applying Baye...

Live online course on stable isotope mixing models using SIBER, SIAR, & MixSIAR, taught by Andrew Parnell, Hamilton Professor of Statistics with extensive expertise in Bayesian hierarchical modelling.

27–30 Apr
prstats.org/course/stabl...

#StableIsotopes #BayesianStatistics #Ecology #RStats

Standard modelling procedure for Species Distribution and Ecological Niche Modelling (SDMS01) Standard Modelling Procedure for Species Distribution and Ecological Niche Modelling is a practical R training course for ecologists and environmental researchers working with species occurrence and e...

Live online course on standard workflows for species distribution & ecological niche modelling, taught by Neftalí Sillero, a spatial ecologist with over 70 peer reviewed publications

23–24 Apr
prstats.org/course/stand...

#PhDStudents #SpeciesDistributionModelling #SpatialEcology #GIS #Biodiversity

Analysing Ecological Data with Detection Error A four day online course on analysing ecological field data with detection error using R. Learn data manipulation, occupancy models, N-mixture models, distance sampling, time-removal methods, detectab...

Strengthen your ecological inference

Live course on analysing ecological data with imperfect detection, taught by Dr Péter Solymos, developer of widely used R tools for ecological modelling

20–23 April
prstats.org/course/analy...

#PhDStudents #Ecology #RStats #EcologicalStatistics #Biodiversity

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

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

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

Your model is only as good as its assumptions. 📊 But what happens when your data breaks the rules? Let’s dive into how to check your model assumptions—and exactly how to fix those pesky violations: 🧵👇
easystats.github.io/performance/...
#rstats #easystats #performance

Machine Learning for Time Series (MLTP01) Machine Learning for Time Series is a practical Python training course for researchers and analysts working with temporal data across scientific and applied domains. The course focuses on applying mac...

Live online course on time series modelling and forecasting, taught by Mark Andrews, Senior Lecturer and experienced instructor in Bayesian data analysis and statistical computing.

11–15 May 2026
Details: prstats.org/course/machi...

#PhDStudents #TimeSeries #MachineLearning #DataScience #RStats

Movement Ecology (the Analysis of Movement Data) A five day online course on movement ecology and the analysis of movement data using R. Learn movement path analysis, home range estimation, interaction metrics, resource and habitat selection, scale ...

Live online course on movement ecology & the analysis of tracking & telemetry data, taught by leading ecologists working at the interface of behaviour, habitat selection, & biodiversity dynamics

11–15 May
prstats.org/course/movem...

#MovementEcology #QuantitativeEcology #SpatialEcology #RStats

Bayesian Statistical Modelling with Stan and brms (BMSB01) Bayesian Statistical Modelling with Stan and brms is an advanced R training course for researchers who want to apply Bayesian statistical methods to real research data. The course focuses on building,...

Move beyond default models.

Live online course on Bayesian statistical modelling with Stan & brms, taught by Mark Andrews, Senior Lecturer & experienced instructor in applied Bayesian methods

5–7 May
Details: prstats.org/course/bayes...

#PhDStudents #BayesianStatistics #Stan #RStats #DataScience

Bayesian Modelling Using R-INLA Course (BMIN04) 5-day live online Bayesian modelling course using R-INLA. Learn priors, hierarchical models, spatial analysis, and Bayesian inference.

Live online course on scalable Bayesian modelling using INLA, taught by Virgilio Gómez-Rubio, author of Bayesian Inference with INLA and leading contributor to Bayesian and spatial modelling in R

4–8 May
prstats.org/course/bayes...

#PhDStudents #BayesianStatistics #INLA #RStats #SpatialStatistics

Interactive Data Applications with Shiny (SHID01) Interactive Data Applications with Shiny is a hands-on R training course for researchers and data analysts who want to build interactive web applications using the Shiny framework. The course focuses ...

Turn your R analyses into interactive research tools

Live course on building interactive data applications with Shiny, taught by Mark Andrews, Senior Lecturer in Bayesian modelling and statistical computing

28–29 Apr
prstats.org/course/inter...

#RStats #Shiny #DataVisualization #DataScience

Stable Isotope Mixing Models Using SIBER, SIAR, MixSIAR (SIMM12) Stable Isotope Mixing Models Using SIBER, SIAR, and MixSIAR is a practical R training course for ecologists and environmental researchers using stable isotope data. The course focuses on applying Baye...

Live online course on stable isotope mixing models using SIBER, SIAR, & MixSIAR, taught by Andrew Parnell, Hamilton Professor of Statistics with extensive expertise in Bayesian hierarchical modelling.

27–30 Apr
prstats.org/course/stabl...

#StableIsotopes #BayesianStatistics #Ecology #RStats

Standard modelling procedure for Species Distribution and Ecological Niche Modelling (SDMS01) Standard Modelling Procedure for Species Distribution and Ecological Niche Modelling is a practical R training course for ecologists and environmental researchers working with species occurrence and e...

Live online course on standard workflows for species distribution & ecological niche modelling, taught by Neftalí Sillero, a spatial ecologist with over 70 peer reviewed publications

23–24 Apr
prstats.org/course/stand...

#PhDStudents #SpeciesDistributionModelling #SpatialEcology #GIS #Biodiversity

Analysing Ecological Data with Detection Error A four day online course on analysing ecological field data with detection error using R. Learn data manipulation, occupancy models, N-mixture models, distance sampling, time-removal methods, detectab...

Strengthen your ecological inference

Live course on analysing ecological data with imperfect detection, taught by Dr Péter Solymos, developer of widely used R tools for ecological modelling

20–23 April
prstats.org/course/analy...

#PhDStudents #Ecology #RStats #EcologicalStatistics #Biodiversity

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

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

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