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Stable Isotope Mixing Models Using SIBER, SIAR, MixSIAR (SIMM12)
Stable Isotope Mixing Models Using SIBER, SIAR, MixSIAR (SIMM12)
Stable Isotope Mixing Models in R is an applied course teaching ecologists how to use SIBER, SIAR, and MixSIAR for dietary analysis.
£480Registration Fee
View DetailsStable Isotope Mixing Models Using SIBER, SIAR, MixSIAR (SIMM12)
Delivered remotely (Portugal) , PortugalStable Isotope Mixing Models in R is an applied course teaching ecologists how to use SIBER, SIAR, and MixSIAR for dietary analysis.
Bayesian Nonlinear Models for Ecologists (BNLM01)
Bayesian Nonlinear Models for Ecologists (BNLM01)
Learn how to build, fit, and compare theory-driven nonlinear ecological models using Bayesian methods in R with brms.
£400Registration Fee
View DetailsBayesian Nonlinear Models for Ecologists (BNLM01)
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomCausal Inference for Ecologists is an applied R course teaching researchers how to identify and estimate causal effects in ecological and environmental data.
Interactive Data Applications with Shiny (SHID01)
Interactive Data Applications with Shiny (SHID01)
Interactive Data Applications with Shiny is a practical R Shiny course for researchers focused on building, customising, and deploying interactive web applications from data analyses.
£300Registration Fee
View DetailsInteractive Data Applications with Shiny (SHID01)
Delivered remotely (United Kingdom) Western European Time, United KingdomInteractive Data Applications with Shiny is a practical R Shiny course for researchers focused on building, customising, and deploying interactive web applications from data analyses.
Bayesian Modelling Using R-INLA Course (BMIN04)
Bayesian Modelling Using R-INLA Course (BMIN04)
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.
£500Registration Fee
View DetailsBayesian Modelling Using R-INLA Course (BMIN04)
Delivered remotely (United Kingdom) Western European Time, United KingdomLearn 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.
Bayesian Statistical Modelling with Stan and brms (BMSB01)
Bayesian Statistical Modelling with Stan and brms (BMSB01)
Bayesian Statistical Modelling with Stan and brms is an advanced R course for researchers covering Bayesian model building, diagnostics, and interpretation using Stan and brms.
£400Registration Fee
View DetailsBayesian Statistical Modelling with Stan and brms (BMSB01)
Delivered remotely (United Kingdom) Western European Time, United KingdomBayesian Statistical Modelling with Stan and brms is an advanced R course for researchers covering Bayesian model building, diagnostics, and interpretation using Stan and brms.
Movement Ecology (the Analysis of Movement Data) (MOVE09)
Movement Ecology (the Analysis of Movement Data) (MOVE09)
Learn to analyse animal movement data using spatial methods, home range estimation, interaction metrics and resource or step selection models through hands-on training in R.
£480Registration Fee
View DetailsMovement Ecology (the Analysis of Movement Data) (MOVE09)
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomLearn to analyse animal movement data using spatial methods, home range estimation, interaction metrics and resource or step selection models through hands-on training in R.
Species Distribution Modelling (SDMs) and Ecological Niche Modelling (ENMs) (SDMR07)
Species Distribution Modelling (SDMs) and Ecological Niche Modelling (ENMs) (SDMR07)
Learn ENM and SDM modelling in R. Apply tools like Maxent and Biomod2 to predict species distributions and environmental niches.
£480Registration Fee
View DetailsSpecies Distribution Modelling (SDMs) and Ecological Niche Modelling (ENMs) (SDMR07)
Delivered remotely (Portugal) , PortugalLearn ENM and SDM modelling in R. Apply tools like Maxent and Biomod2 to predict species distributions and environmental niches.
Interactive Maps with tmap & Shiny (IMTS01)
Interactive Maps with tmap & Shiny (IMTS01)
Visualise spatial data in R using the tmap package. Learn to create static and interactive maps, customise layouts, and publish high-quality visualisations.
£350Registration Fee
View DetailsInteractive Maps with tmap & Shiny (IMTS01)
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomVisualise spatial data in R using the tmap package. Learn to create static and interactive maps, customise layouts, and publish high-quality visualisations.
University of Birmingham private course – Interactive Maps with tmap & Shiny (UoB01)
University of Birmingham private course – Interactive Maps with tmap & Shiny (UoB01)
Visualise spatial data in R using the tmap package. Learn to create static and interactive maps, customise layouts, and publish high-quality visualisations.
£0Registration Fee
View Details
Species Distribution Modelling With Bayesian Statistics (SDMB08)
Species Distribution Modelling With Bayesian Statistics (SDMB08)
Model species distributions using BART in R. Covers uncertainty, variable selection, and full Bayesian workflow.
£385Registration Fee
View DetailsSpecies Distribution Modelling With Bayesian Statistics (SDMB08)
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomMaster Bayesian multilevel models in R with brms. Learn GLMs, priors, spatial/temporal autocorrelation, and species distribution modelling.
Python for Biological Data Exploration and Visualization (PYBD01)
Python for Biological Data Exploration and Visualization (PYBD01)
Explore and visualise biological data in Python using pandas and seaborn. Ideal for applied researchers.
£480Registration Fee
View DetailsPython for Biological Data Exploration and Visualization (PYBD01)
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomExplore and visualise biological data in Python using pandas and seaborn. Ideal for applied researchers.
Introduction to Processing and Analysis of Spatial Multiplexed Proteomics Data (SPMP02)
Introduction to Processing and Analysis of Spatial Multiplexed Proteomics Data (SPMP02)
Learn spatial multiplexed proteomics data analysis with CODEX, CycIF, and MACSIMA. Master image processing, segmentation, phenotyping, and spatial analysis in R and Python.
£450Registration Fee
View DetailsIntroduction to Processing and Analysis of Spatial Multiplexed Proteomics Data (SPMP02)
Delivered remotely (United Kingdom) Western European Time, United KingdomLearn spatial multiplexed proteomics data analysis with CODEX, CycIF, and MACSIMA. Master image processing, segmentation, phenotyping, and spatial analysis in R and Python.
Introduction to Python for Bioinformatics (IPYB02)
Introduction to Python for Bioinformatics (IPYB02)
Beginner Python course for biologists. Learn file handling, loops, and bioinformatics-focused coding in Python.
£480Registration Fee
View DetailsIntroduction to Python for Bioinformatics (IPYB02)
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomBeginner Python course for biologists. Learn file handling, loops, and bioinformatics-focused coding in Python.
Reproducible Spatial Ecology: Visualization, Reporting, and AI-Assisted Workflows with R (RSPE01)
Reproducible Spatial Ecology: Visualization, Reporting, and AI-Assisted Workflows with R (RSPE01)
Learn spatial ecological data visualisation in R. Master mapping, remote sensing, publication-quality graphics, accessible colour scales, and reproducible workflows.
£350Registration Fee
View DetailsReproducible Spatial Ecology: Visualization, Reporting, and AI-Assisted Workflows with R (RSPE01)
Delivered remotely (Portugal) , PortugalLearn spatial ecological data visualisation in R. Master mapping, remote sensing, publication-quality graphics, accessible colour scales, and reproducible workflows.
Advanced Python for Bioinformatics (APYB02)
Advanced Python for Bioinformatics (APYB02)
Take your Python skills further. Learn OOP, testing, and optimisation for complex bioinformatics tasks.
£480Registration Fee
View DetailsAdvanced Python for Bioinformatics (APYB02)
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomTake your Python skills further. Learn OOP, testing, and optimisation for complex bioinformatics tasks.
RNA-Seq Analysis (RNAA02)
RNA-Seq Analysis (RNAA02)
RNA-Seq analysis training – live online course covering experiment design, data QC, alignment, gene expression, DESeq2 differential expression, PCA, visualisation, and functional analysis.
£350Registration Fee
View DetailsRNA-Seq Analysis (RNAA02)
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomRNA-Seq analysis training – live online course covering experiment design, data QC, alignment, gene expression, DESeq2 differential expression, PCA, visualisation, and functional analysis.
Advanced Static Cartography in R (ASCR01)
Advanced Static Cartography in R (ASCR01)
Turn spatial data into clear, publication-quality maps using advanced cartography in R.
£350Registration Fee
View DetailsAdvanced Static Cartography in R (ASCR01)
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomTurn spatial data into clear, publication-quality maps using advanced cartography in R.
Bioacoustics Data Analysis (BIAC06)
Bioacoustics Data Analysis (BIAC06)
Analyse animal acoustic signals in R. Learn spectrograms, annotations, and bioacoustic workflows.
£400Registration Fee
View DetailsBioacoustics Data Analysis (BIAC06)
Delivered remotely (United Kingdom) Western European Time, United KingdomAnalyse animal acoustic signals in R. Learn spectrograms, annotations, and bioacoustic workflows.
Joint Species Distribution Modelling (JSDM) using HMSC: A Hierarchical Modelling Approach (JSDM01)
Joint Species Distribution Modelling (JSDM) using HMSC: A Hierarchical Modelling Approach (JSDM01)
Analyse entire ecological communities with hierarchical models and joint species distribution modelling in R.
£450Registration Fee
View DetailsJoint Species Distribution Modelling (JSDM) using HMSC: A Hierarchical Modelling Approach (JSDM01)
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomAnalyse entire ecological communities with hierarchical models and joint species distribution modelling in R.
Single cell RNA-Seq analysis (SCRN03)
Single cell RNA-Seq analysis (SCRN03)
Learn single cell RNA-Seq analysis with Seurat, 10x Genomics, and advanced QC methods. Gain cell type-specific insights in this live online course.
£350Registration Fee
View DetailsSingle cell RNA-Seq analysis (SCRN03)
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomLearn single cell RNA-Seq analysis with Seurat, 10x Genomics, and advanced QC methods. Gain cell type-specific insights in this live online course.
Network Analysis for Ecologists (NWAE02)
Network Analysis for Ecologists (NWAE02)
Use R to analyse ecological networks. Learn metrics, simulation, and visualisation with igraph.
£250Registration Fee
View DetailsNetwork Analysis for Ecologists (NWAE02)
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomUse R to analyse ecological networks. Learn metrics, simulation, and visualisation with igraph.
Introduction to Snakemake (SNKM03)
Introduction to Snakemake (SNKM03)
Learn Snakemake to automate data workflows. Build reproducible, scalable pipelines for research with hands-on training in this 4-day live online course.
£350Registration Fee
View DetailsIntroduction to Snakemake (SNKM03)
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomLearn Snakemake to automate data workflows. Build reproducible, scalable pipelines for research with hands-on training in this 4-day live online course.