Live Courses
Visualizing Spatial Ecological Data (COURSE FULL)
Visualizing Spatial Ecological Data (COURSE FULL)
Learn to visualise spatial ecological data in R. Explore remote sensing, species distributions, temporal patterns, and colour-safe scientific graphics.
Duration: 5 Days, 8 hours per day- Next Date: November 17-21, 2025
- Format: Live Online Format
£480Registration Fee
View DetailsVisualizing Spatial Ecological Data (COURSE FULL)
Delivered remotely (Portugal) , PortugalLearn to visualise spatial ecological data in R. Explore remote sensing, species distributions, temporal patterns, and colour-safe scientific graphics.
Introduction to Spatial Data Analysis (COURSE FULL)
Introduction to Spatial Data Analysis (COURSE FULL)
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.
- Duration: 5 Days, 6 hours per day
- Next Date: November 17-21, 2025
- Format: Live Online Format
£450Registration Fee
View DetailsIntroduction to Spatial Data Analysis (COURSE FULL)
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomLearn 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.
Analysis of Avian Point-Count Data in the Presence of Detection Error
Analysis of Avian Point-Count Data in the Presence of Detection Error
Analyse bird point-count data in R. Learn N-mixture, time-removal, and distance sampling models.
- Duration: 3 Days, 4 hours per day
- Next Date: November 18-20, 2025
- Format: Live Online Format
£300Registration Fee
View DetailsAnalysis of Avian Point-Count Data in the Presence of Detection Error
Delivered remotely (United Kingdom) Western European Time, United KingdomAnalyse bird point-count data in R. Learn N-mixture, time-removal, and distance sampling models.
Single cell RNA-Seq analysis
Single cell RNA-Seq analysis
Learn single cell RNA-Seq analysis with Seurat, 10x Genomics, and advanced QC methods. Gain cell type-specific insights in this live online course.
- Duration: 4 Days, 3.5 hours per day
- Next Date: November 24 - 27 2025
- Format: Live Online Format
£350Registration Fee
View DetailsSingle cell RNA-Seq analysis
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.
Zero-Inflated Models (COURSE FULL)
Zero-Inflated Models (COURSE FULL)
A one-day live online course on zero-inflated models in R. Learn to model count data with excess zeros using ZIP, ZINB, and hurdle approaches, plus model diagnostics and interpretation.
- Duration: 1 Days, 6 hours per day
- Next Date: December 1, 2025
- Format: Live Online Format
£150Registration Fee
View DetailsZero-Inflated Models (COURSE FULL)
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomA one-day live online course on zero-inflated models in R. Learn to model count data with excess zeros using ZIP, ZINB, and hurdle approaches, plus model diagnostics and interpretation.
Tree-Based Models (COURSE FULL)
Tree-Based Models (COURSE FULL)
Learn decision trees, random forests, and boosted models in R. This one-day live online course covers CART, bagging, boosting, and model interpretation for applied data analysis.
- Duration: 1 Days, 6 hours per day
- Next Date: December 2, 2025
- Format: Live Online Format
£150Registration Fee
View DetailsTree-Based Models (COURSE FULL)
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomLearn decision trees, random forests, and boosted models in R. This one-day live online course covers CART, bagging, boosting, and model interpretation for applied data analysis.
Advanced Species Distribution Modelling (SDM’s) and Ecological Niche Modelling (ENM’s)
Advanced Species Distribution Modelling (SDM’s) and Ecological Niche Modelling (ENM’s)
Learn advanced SDM and ENM techniques in R. Includes Maxent tuning, MESS and null models, and building mechanistic models and virtual species.
- Duration: 5 Days, 8 hours per day
- Next Date: December 1-5 2025
- Format: Live Online Format
£480Registration Fee
View DetailsAdvanced Species Distribution Modelling (SDM’s) and Ecological Niche Modelling (ENM’s)
Delivered remotely (Portugal) , PortugalLearn advanced SDM and ENM techniques in R. Includes Maxent tuning, MESS and null models, and building mechanistic models and virtual species.
Bayesian Multilevel Modelling using brms for Ecologists
Bayesian Multilevel Modelling using brms for Ecologists
Learn applied Bayesian modelling in R with brms for ecological data. Build, fit, and interpret hierarchical and GLMMs in this hands-on workshop.
- Duration: 5 Days, 7 hours per day
- Next Date: December 1-5, 2025
- Format: Live Online Format
£450Registration Fee
View DetailsBayesian Multilevel Modelling using brms for Ecologists
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomLearn applied Bayesian modelling in R with brms for ecological data. Build, fit, and interpret hierarchical and GLMMs in this hands-on workshop.
Data Visualisation in R using ggplot2 (COURSE FULL)
Data Visualisation in R using ggplot2 (COURSE FULL)
Data Visualisation in R using ggplot2 – online course covering scatterplots, histograms, bar plots, boxplots, density plots, line plots, heatmaps, maps, and advanced customisation for publication-quality graphics.
- Duration: 3 Days, 4 hours per day
- Next Date: December 3-5, 2025
- Format: Live Online Format
£250Registration Fee
View DetailsData Visualisation in R using ggplot2 (COURSE FULL)
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomData Visualisation in R using ggplot2 – online course covering scatterplots, histograms, bar plots, boxplots, density plots, line plots, heatmaps, maps, and advanced customisation for publication-quality graphics.
Multivariate Analysis of Ecological Communities Using VEGAN
Multivariate Analysis of Ecological Communities Using VEGAN
Analyse ecological community data in R using VEGAN. Learn ordination, clustering, and multivariate statistics with real datasets.
- Duration: 5 Days, 7 hours per day
- Next Date: December 8-12, 2025
- Format: Live Online Format
£485Registration Fee
View DetailsMultivariate Analysis of Ecological Communities Using VEGAN
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomAnalyse ecological community data in R using VEGAN. Learn ordination, clustering, and multivariate statistics with real datasets.
Introduction to Generalised Linear Mixed Models for Ecologists (COURSE FULL)
Introduction to Generalised Linear Mixed Models for Ecologists (COURSE FULL)
Model hierarchical ecological data using GLMMs in R. Covers lme4, brms, and Bayesian methods for ecologists.
- Duration: 5 Days, 8 hours per day
- Next Date: December 8-12, 2025
- Format: Live Online Format
£450Registration Fee
View DetailsIntroduction to Generalised Linear Mixed Models for Ecologists (COURSE FULL)
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomModel hierarchical ecological data using GLMMs in R. Covers lme4, brms, and Bayesian methods for ecologists.
Model Selection and Model Simplification
Model Selection and Model Simplification
This two-day hands-on course teaches researchers how to select, compare, and evaluate statistical models in R using cross-validation, information criteria (AIC, AICc, BIC), and regularization methods. Participants will learn model averaging, mixed effects model selection, and best practices for transparent, theory-driven analysis.
- Duration: 2 Days, 6 hours per day
- Next Date: December 9-10, 2025
- Format: Live Online Format
£300Registration Fee
View DetailsModel Selection and Model Simplification
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomThis two-day hands-on course teaches researchers how to select, compare, and evaluate statistical models in R using cross-validation, information criteria (AIC, AICc, BIC), and regularization methods. Participants will learn model averaging, mixed effects model selection, and best practices for transparent, theory-driven analysis.
Introduction to Generalised Linear Models using R (COURSE FULL)
Introduction to Generalised Linear Models using R (COURSE FULL)
Learn Generalised Linear Models (GLMs) in R with this live online course. Covers Poisson regression, logistic regression, multinomial, ordinal, Gamma models, mixed-effects, and Bayesian GLMs. Ideal for researchers, postgraduate students, and data analysts.
- Duration: 5 Days, 6 hours per day
- Next Date: January 12-16, 2026
- Format: Live Online Format
£450Registration Fee
View DetailsIntroduction to Generalised Linear Models using R (COURSE FULL)
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomLearn Generalised Linear Models (GLMs) in R with this live online course. Covers Poisson regression, logistic regression, multinomial, ordinal, Gamma models, mixed-effects, and Bayesian GLMs. Ideal for researchers, postgraduate students, and data analysts.
Introduction to Python for Ecologists and Evolutionary Biologists
Introduction to Python for Ecologists and Evolutionary Biologists
Beginner Python course for biologists. Learn file handling, loops, and bioinformatics-focused coding in Python.
- Duration: 4 Days, 7 hours per day
- Next Date: January 26-29, 2026
- Format: Live Online Format
£480Registration Fee
View DetailsIntroduction to Python for Ecologists and Evolutionary Biologists
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomBeginner Python course for biologists. Learn file handling, loops, and bioinformatics-focused coding in Python.
RNA-Seq Analysis
RNA-Seq Analysis
RNA-Seq analysis training – live online course covering experiment design, data QC, alignment, gene expression, DESeq2 differential expression, PCA, visualisation, and functional analysis.
- Duration: 4 Days, 3.5 hours per day
- Next Date: January 26-29, 2026
- Format: Live Online Format
£350Registration Fee
View DetailsRNA-Seq Analysis
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.
Species Distribution Modelling With Bayesian Statistics
Species Distribution Modelling With Bayesian Statistics
Model species distributions using BART in R. Covers uncertainty, variable selection, and full Bayesian workflow.
- Duration: 3 Days, 4 hours per day
- Next Date: January 27-29, 2026
- Format: Live Online Format
£385Registration Fee
View DetailsSpecies Distribution Modelling With Bayesian Statistics
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.
Introduction to Processing and Analysis of Spatial Multiplexed Proteomics Data
Introduction to Processing and Analysis of Spatial Multiplexed Proteomics Data
- Learn spatial multiplexed proteomics data analysis with CODEX, CycIF, and MACSIMA. Master image processing, segmentation, phenotyping, and spatial analysis in R and Python.
- Duration: 5 Days, 5.5 hours per day
- Next Date: February 9-13, 2026
- Format: Live Online Format
£450Registration Fee
View DetailsIntroduction to Processing and Analysis of Spatial Multiplexed Proteomics Data
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 Snakemake
Introduction to Snakemake
Learn Snakemake to automate data workflows. Build reproducible, scalable pipelines for research with hands-on training in this 4-day live online course.
- Duration: 4 Days, 3 hours per day
- Next Date: February 23-26, 2026
- Format: Live Online Format
£350Registration Fee
View DetailsIntroduction to Snakemake
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.
Python for Biological Data Exploration and Visualization
Python for Biological Data Exploration and Visualization
Explore and visualise biological data in Python using pandas and seaborn. Ideal for applied researchers.
- Duration: 4 Days, 7 hours per day
- Next Date: March 2-5, 2026
- Format: Live Online Format
£480Registration Fee
View DetailsPython for Biological Data Exploration and Visualization
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomExplore and visualise biological data in Python using pandas and seaborn. Ideal for applied researchers.
Advanced Python for Ecologists and Evolutionary Biologists
Advanced Python for Ecologists and Evolutionary Biologists
Take your Python skills further. Learn OOP, testing, and optimisation for complex bioinformatics tasks.
- Duration: 4 Days, 7 hours per day
- Next Date: March 23-26, 2026
- Format: Live Online Format
£480Registration Fee
View DetailsAdvanced Python for Ecologists and Evolutionary Biologists
Delivered remotely (United Kingdom) Western European Time Zone, United KingdomTake your Python skills further. Learn OOP, testing, and optimisation for complex bioinformatics tasks.