Learn SEM and causal inference in R. Use DAGs, latent variables, and path models for ecological analysis.
£450.00
35 events found.
Live Online Courses
Events
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2 events,
Online SEM and causal inference course for biologists. Learn path analysis, d-separation, latent variables, and multigroup models using R. |
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1 event,
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
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2 events,
Use R to analyse ecological networks. Learn metrics, simulation, and visualisation with igraph.
£250.00
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1 event,
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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1 event,
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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2 events,
Analyse bird point-count data in R. Learn N-mixture, time-removal, and distance sampling models. |
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1 event,
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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