FREE Introduction to Generalised Linear Mixed Models for Ecologists
Free online course on Generalised Linear Mixed Models (GLMMs) in R. Learn to analyse grouped ecological data using mixed-effects models in one day.
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FREE Introduction to Generalised Linear Models for Ecologists
Free online course introducing Generalised Linear Models (GLMs) in R. Ideal for ecologists and applied scientists working with binary or count data.
Introduction to Generalised Linear Models for Ecologists
Master the fundamentals of Generalised Linear Models in R
FREE Introduction to Spatial Data visualisation and Mapping in R
Field Mapping and Species Identification for Ecologists – hands-on training in field data collection, GIS integration, and ecological survey methods.
Bayesian Multilevel Modelling using brms for Ecologists (COURSE FULL)
Learn SEM and causal inference in R. Use DAGs, latent variables, and path models for ecological analysis.
£450.00
5 events,
5 events,
5 events,
5 events,
5 events,
Model Selection and Model Simplification (COURSE FULL)
Model Selection and Simplification in R – a live online course covering model fit, nested model comparison, cross-validation, information criteria (AIC/BIC), and variable selection methods including stepwise, ridge, Lasso, and elastic net.
£250.00
6 events,
Network Analysis for Ecologists
Use R to analyse ecological networks. Learn metrics, simulation, and visualisation with igraph.
£250.00
5 events,
Spatial Data Visualisation and Mapping using TMAP (COURSE FULL)
Visualise spatial data in R using the tmap package. Learn to create static and interactive maps, customise layouts, and publish high-quality visualisations.
5 events,
5 events,
5 events,
5 events,
5 events,
6 events,
Visualizing Spatial Ecological Data (COURSE FULL)
Learn to visualise spatial ecological data in R. Explore remote sensing, species distributions, temporal patterns, and colour-safe scientific graphics.
Introduction to Spatial Data Analysis (COURSE FULL)
Learn spatial data analysis in R with this 5-day live online course. Covers vector and raster data, CRS, spatial joins, autocorrelation, interpolation, variograms, spatial regression, and reproducible workflows.
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£450.00
7 events,
Analysis of Avian Point-Count Data in the Presence of Detection Error
Analyse bird point-count data in R. Learn N-mixture, time-removal, and distance sampling models.
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£300.00
7 events,
7 events,
6 events,
5 events,
Single cell RNA-Seq analysis
Learn single cell RNA-Seq analysis with Seurat, 10x Genomics, and advanced QC methods. Gain cell type-specific insights in this live online course.
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£350.00