£0Registration Fee
View DetailsFREE Recorded 1 Day Intro to R and R Studio
Recorded , United KingdomLearn R and RStudio from scratch with this free 6-hour recorded course—no coding experience needed.
£0Registration Fee
View DetailsLearn R and RStudio from scratch with this free 6-hour recorded course—no coding experience needed.
£450Registration Fee
View DetailsLearn eco-phylogenetic and comparative methods in R.
£350Registration Fee
View DetailsLearn spatial phylogenetics and Bayesian eco-phylogenetic modelling in R. Ideal for ecologists and biogeographers.
£450Registration 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.
£50Registration Fee
View DetailsOnline course introducing Generalised Linear Models (GLMs) in R. Ideal for ecologists and applied scientists working with binary or count data.
£50Registration 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.
£250Registration Fee
View DetailsComprehensive on-demand GLM course for ecologists using R. Covers logistic, Poisson, zero-inflated, and mixed models with hands-on examples.
£450Registration Fee
View DetailsMaster the Tidyverse and Tidymodels in R through hands-on ecological data science projects in this 40-hour live online course.
£450Registration Fee
View DetailsComprehensive on-demand GLM course for ecologists using R. Covers logistic, Poisson, zero-inflated, and mixed models with hands-on examples.
£250Registration 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.
£250Registration Fee
View DetailsLearn the fundamentals of time series analysis in R. Explore stationarity, ARIMA, decomposition, smoothing, and forecasting in this on-demand course.
£450Registration 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.
£250Registration 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.
£350Registration Fee
View DetailsLearn machine learning in R with this comprehensive course. Covers clustering, regression, trees, neural networks, and more—fully online and hands-on.
£485Registration Fee
View DetailsLearn multivariate analysis in R using the VEGAN package with this hands-on course for ecologists.
£450Registration Fee
View DetailsMaster stable isotope mixing models (SIMMs) using SIBER, SIAR, and MixSIAR in R. Analyse food webs and trophic relationships using real-world ecological datasets.
£480Registration Fee
View DetailsMaster ecological spatial visualisation using R: remote sensing, species distributions, color-safe maps, and more.
£450Registration 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 DetailsLearn advanced SDM and ENM techniques in R. Includes Maxent tuning, MESS and null models, and building mechanistic models and virtual species.
£480Registration Fee
View DetailsLearn advanced SDM and ENM techniques in R. Includes Maxent tuning, MESS and null models, and building mechanistic models and virtual species.
£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.