
£100Registration Fee
View DetailsModel Validation for Species Distribution and Ecological Niche Modelling (MVSDPR)
Learn how to validate species distribution and ecological niche models.

£100Registration Fee
View DetailsLearn how to validate species distribution and ecological niche models.

£350Registration Fee
View DetailsLearn advanced SDM and ENM techniques in R. Includes Maxent tuning, MESS and null models, and building mechanistic models and virtual species.

£100Registration Fee
View DetailsLearn mechanistic species distribution and ecological niche modelling with NicheMapR in R including microclimate modeling.

£450Registration Fee
View DetailsTake your Python skills further. Learn OOP, testing, and optimisation for complex bioinformatics tasks.

£480Registration Fee
View DetailsLearn 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.

£350Registration Fee
View DetailsLearn population structure analysis for evolutionary biology using genetic data, population genetics methods, and evolutionary inference.

£350Registration Fee
View DetailsLearn single-cell RNA-seq data analysis using Seurat. Master quality control, normalisation, batch correction, clustering and dataset integration.

£350Registration Fee
View DetailsVisualise spatial data in R using the tmap package. Learn to create static and interactive maps, customise layouts, and publish high-quality visualisations.

£150Registration Fee
View DetailsLearn QGIS and spatial data analysis workflows. Practical online training in mapping, GIS, and spatial data processing.

£450Registration Fee
View DetailsAnalyse entire ecological communities with hierarchical models and joint species distribution modelling in R.

£400Registration Fee
View DetailsLearn metagenomic data analysis for microbial communities. Analyse shotgun sequencing data, profile microbiomes, and interpret microbial diversity using R.

£0Registration Fee
View DetailsLearn R and RStudio from scratch with this free 6-hour recorded course—no coding experience needed.

£250Registration Fee
View DetailsLearn eco-phylogenetic and comparative methods in R.

£200Registration Fee
View DetailsLearn spatial phylogenetics and Bayesian eco-phylogenetic modelling in R. Ideal for ecologists and biogeographers.

£300Registration Fee
View DetailsComprehensive on-demand course in data wrangling, visualisation, GLMs, mixed models, and model selection using R. Ideal for researchers in ecology, biology, and social sciences.

£0Registration Fee
View DetailsOnline course introducing Generalised Linear Models (GLMs) in R. Ideal for ecologists and applied scientists working with binary or count data.

£0Registration Fee
View DetailsOnline course introducing Generalised Linear Mixed Models (GLMMs) in R for ecologists and applied scientists. Learn mixed effects modelling in under 4 hours.

£150Registration Fee
View DetailsComprehensive on-demand GLM course for ecologists using R. Covers logistic, Poisson, zero-inflated, and mixed models with hands-on examples.

£300Registration Fee
View DetailsComprehensive on-demand GLM course for ecologists using R. Covers logistic, Poisson, zero-inflated, and mixed models with hands-on examples.

£150Registration Fee
View DetailsOn-demand introduction to linear and generalised mixed models in R. Covers multilevel modelling, nested and crossed designs, random effects, and Bayesian approaches.

£150Registration Fee
View DetailsLearn the fundamentals of time series analysis in R. Explore stationarity, ARIMA, decomposition, smoothing, and forecasting in this on-demand course.

£275Registration Fee
View DetailsMaster time series analysis and forecasting in R. Learn ARIMA, GAMs, exponential smoothing, Bayesian models, GARCH, and more in this on-demand course.

£150Registration Fee
View DetailsData Visualisation in R using ggplot2 – online course covering scatterplots, histograms, bar plots, boxplots, density plots, line plots, heatmaps, maps, and advanced customisation for publication-quality graphics.

£225Registration Fee
View DetailsLearn machine learning in R with this comprehensive course. Covers clustering, regression, trees, neural networks, and more—fully online and hands-on.

£480Registration Fee
View DetailsLearn multivariate analysis in R using the VEGAN package with this hands-on course for ecologists.

£350Registration Fee
View DetailsMaster stable isotope mixing models (SIMMs) using SIBER, Simmr, and MixSIAR in R. Analyse food webs and trophic relationships using real-world ecological datasets.

£350Registration Fee
View DetailsLearn remote sensing data analysis in R. Gain hands-on skills in coding, spatial data, ecosystem monitoring, and ecological change detection.

£450Registration Fee
View DetailsMaster GLMMs and LMMs in R with this 40-hour on-demand course. Ideal for ecologists handling grouped or hierarchical data. Learn at your own pace.

£480Registration Fee
View DetailsMovement Ecology in R: Analyse GPS, VHF, and Path Data Across Species

£400Registration Fee
View DetailsLearn how to analyse movement, acceleration, and other ecological time series using HMMs in R with moveHMM and momentuHMM.

£450Registration Fee
View DetailsOnline SEM and causal inference course for biologists. Learn path analysis, d-separation, latent variables, and multigroup models using R.

£225Registration Fee
View DetailsLearn how to analyse species interactions and ecological networks using R and igraph in this focused 6-hour course.

£150Registration Fee
View DetailsLearn model selection and model simplification in R. Practical online training in model comparison, AIC, and statistical workflows.

£150Registration Fee
View DetailsBayesian Regression & Mixed Models in R with brms – On-Demand Course

£200Registration Fee
View DetailsBayesian Data Analysis in R – On-Demand Course Using brms