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.
Expired Live Courses
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5 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. 
Online SEM and causal inference course for biologists. Learn path analysis, d-separation, latent variables, and multigroup models using R. |
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Use R to analyse ecological networks. Learn metrics, simulation, and visualisation with igraph.
£250.00
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5 events,
Visualise spatial data in R using the tmap package. Learn to create static and interactive maps, customise layouts, and publish high-quality visualisations. |
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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.
£450.00
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6 events,
Analyse bird point-count data in R. Learn N-mixture, time-removal, and distance sampling models. |
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6 events, |
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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. |