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 online course introducing Generalised Linear Models (GLMs) in R. Ideal for ecologists and applied scientists working with binary or count data. 
Master the fundamentals of Generalised Linear Models in R 
Field Mapping and Species Identification for Ecologists – hands-on training in field data collection, GIS integration, and ecological survey methods. 
Learn 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.
£500.00
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Explore and visualise biological data in Python using pandas and seaborn. Ideal for applied researchers.
£480.00
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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
Live online bioinformatics training in single-cell RNA-seq analysis using Seurat and 10x Genomics data.
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£350.00
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Take your Python skills further. Learn OOP, testing, and optimisation for complex bioinformatics tasks.
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£480.00
Causal Inference for Ecologists is an applied R course teaching researchers how to identify and estimate causal effects in ecological and environmental data.
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£400.00
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