Free online course on Generalised Linear Mixed Models (GLMMs) in R. Learn to analyse grouped ecological data using mixed-effects models in one day.
35 events found.
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6 events,
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. 
Beginner Python course for biologists. Learn file handling, loops, and bioinformatics-focused coding in Python.
£480.00
RNA-Seq analysis training – live online course covering experiment design, data QC, alignment, gene expression, DESeq2 differential expression, PCA, visualisation, and functional analysis.
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£350.00
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7 events,
Master Bayesian multilevel models in R with brms. Learn GLMs, priors, spatial/temporal autocorrelation, and species distribution modelling.
£385.00
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5 events,
Learn to build and interpret linear, generalised linear, and multilevel models for ecological data using R, lme4, and rstanarm in this five day applied training course.
£450.00
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5 events,
Learn spatial multiplexed proteomics data analysis with CODEX, CycIF, and MACSIMA. Master image processing, segmentation, phenotyping, and spatial analysis in R and Python.
£450.00
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5 events, |
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5 events,
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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5 events, |
5 events, |
5 events, |
5 events, |