Live online course on time series modelling & forecasting, taught by Mark Andrews, Senior Lecturer & experienced instructor in Bayesian data analysis & statistical computing 11–15 May prstats.org/course/machine-l… #PhDStudents #TimeSeries #MachineLearning #DataScience #RStats

Live online course on movement ecology & the analysis of telemetry data, taught by leading ecologists working at the interface of behaviour, habitat selection, & biodiversity dynamics 11–15 May prstats.org/course/movement-… #MovementEcology #QuantitativeEcology #SpatialEcology #RStats

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 2026 Details: prstats.org/course/bayesian-… #PhDStudents #BayesianStatistics #Stan #RStats #DataScience

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 & spatial modelling in R 4–8 May prstats.org/course/bayesian-… #BayesianStatistics #INLA #RStats #SpatialStatistics

Turn your R analyses into interactive research Live course building interactive data applications with Shiny, taught by Mark Andrews, Senior Lecturer in Bayesian modelling & statistical computing 28–29 Apr prstats.org/course/interacti… #RStats #Shiny #DataVisualization #DataScience

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 modelling. 27–30 Apr prstats.org/course/stable-is… #StableIsotopes #BayesianStatistics #Ecology #RStats

Live online course on 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/standard-… #SpeciesDistributionModelling #SpatialEcology #GIS #Biodiversity

Strengthen your ecological inference Live course on analysing ecological data with imperfect detection, taught by Péter Solymos, developer of widely used R tools for ecological modelling 20–23 Apr prstats.org/course/analysing… #Ecology #RStats #EcologicalStatistics #Biodiversity

Live online course on single cell RNA-seq analysis, taught by Frances Turner, a bioinformatician at the University of Edinburgh with experience supporting real research projects 16–19 March prstats.org/course/single-ce… #PhDStudents #SingleCell #Bioinformatics #Genomics #DataScience

Live online course on advanced Python for biological research, taught by Martin Jones, founder of Python for Biologists and former Lecturer in Bioinformatics at University of Edinburgh 23–26 Mar prstats.org/course/advanced-… #PhDStudents #Python #Bioinformatics #ComputationalBiology

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 Apr prstats.org/course/deep-lear… #DeepLearning #RStats #MachineLearning #DataScience

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/multivari… #PhDStudents #Ecology #RStats #Biodiversity

Deep learning with real data Live online course on deep learning using Python, taught by Mark Andrews, an experienced instructor in applied modelling and computational methods 14–15 Apr prstats.org/course/deep-lear… #PhDStudents #DeepLearning #Python #MachineLearning #DataScience

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 prstats.org/course/python-fo… #PhDStudents #Python #DataScience #BayesianStatistics

Live online Python course for biological data exploration and visualisation, taught by Martin Jones, founder of Python for Biologists and former Lecturer in Bioinformatics at Edinburgh University 2–5 Mar prstats.org/course/python-fo… #PhDStudents #Python #Bioinformatics #DataScience

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 Feb Details: prstats.org/course/bayesian-… #PhDStudents #BayesianStatistics #RStats #DataScience

Deep Learning Python course 12–13 Feb. A practical introduction to neural networks, model training, and applied deep learning workflows. Led by Dr Mark Andrews, an instructor in data science and machine learning. prstats.org/course/deep-lear… #DeepLearning #Python #MachineLearning

Spatial Multiplexed Proteomics Data course 9 to 13 Feb Intro to processing fluorescence microscopy taught by Dr Victor Perez Meza, an image analysis specialist focused on artefact correction prstats.org/course/introduct… #SpatialProteomics #SpatialOmics #ImageAnalysis #Bioinformatics

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/python-fo… #Python #DataScience #StatisticalComputing #ResearchSkills

GLMM for Ecologists course 2-6 Feb. An 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/introduct… #GLMM #Ecology #RStats #MixedModels #DataAnalysis