67 Photos and videos
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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
3
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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
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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
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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
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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
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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
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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
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