3

Oliver Hooker (Course Organiser)

  1. Events
  2. Organisers
  3. Oliver Hooker (Course Organiser)
Events from this organiser
Today

SDMR06

Species Distribution Modelling (SDMs) and Ecological Niche Modelling (ENMs)

Species Distribution Modelling (SDMs) and Ecological Niche Modelling (ENMs)

Learn ENM and SDM modelling in R. Apply tools like Maxent and Biomod2 to predict species distributions and environmental niches.

  • Duration: 5 Days, 8 hours per day
  • Next Date: September 22-26 2025
  • Format: Live Online Format

£480Registration Fee

View Details

Species Distribution Modelling (SDMs) and Ecological Niche Modelling (ENMs)

Delivered remotely (Portugal) , Portugal

Learn ENM and SDM modelling in R. Apply tools like Maxent and Biomod2 to predict species distributions and environmental niches.

£430.00 – £480.00

BIAC05

Bioacoustics Data Analysis

Bioacoustics Data Analysis

Analyse animal acoustic signals in R. Learn spectrograms, annotations, and bioacoustic workflows.

  • Duration: 5 Days, 4 hours per day
  • Next Date: October 6-10, 2025
  • Format: Live Online Format

£400Registration Fee

View Details

Bioacoustics Data Analysis

Delivered remotely (United Kingdom) Western European Time, United Kingdom

Analyse animal acoustic signals in R. Learn spectrograms, annotations, and bioacoustic workflows.

£360.00 – £400.00
SNKM01

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: October 6-17, 2025
  • Format: Live Online Format

£350Registration Fee

View Details

Introduction to Snakemake

Delivered remotely (United Kingdom) Western European Time Zone, United Kingdom

Learn Snakemake to automate data workflows. Build reproducible, scalable pipelines for research with hands-on training in this 4-day live online course.

IMLR04

Introduction to Machine Learning

Introduction to Machine Learning

Learn machine learning in R with hands-on training. Covers supervised and unsupervised models, tuning, evaluation, and interpretability.

  • Duration: 5 Days, 8 hours per day
  • Next Date: October 13-17, 2025
  • Format: Live Online Format

£450Registration Fee

View Details

Introduction to Machine Learning

Delivered remotely (United Kingdom) Western European Time Zone, United Kingdom

Learn machine learning in R with hands-on training. Covers supervised and unsupervised models, tuning, evaluation, and interpretability.

£450.00
PSCB03

Path Analysis, Structural Equations, and Causal Inference for Biologists

Path Analysis, Structural Equations, and Causal Inference for Biologists

Online SEM and causal inference course for biologists. Learn path analysis, d-separation, latent variables, and multigroup models using R.

  • Duration: 35 hours
  • Next Date: October 20-30, 2025
  • Format: Live Online Format

£450Registration Fee

View Details

Path Analysis, Structural Equations, and Causal Inference for Biologists

Delivered remotely (United Kingdom) Western European Time Zone, United Kingdom

Online SEM and causal inference course for biologists. Learn path analysis, d-separation, latent variables, and multigroup models using R.

BMME01

Bayesian Multilevel Modelling using brms for Ecologists (COURSE FULL)

Bayesian Multilevel Modelling using brms for Ecologists (COURSE FULL)

Master Bayesian multilevel models in R with brms. Learn GLMs, priors, spatial/temporal autocorrelation, and species distribution modelling.

  • Duration: 10 Days, 4 hours per day
  • Next Date: October 20-24 & 27-31, 2025
  • Format: Live Online Format

£450Registration Fee

View Details

Bayesian Multilevel Modelling using brms for Ecologists (COURSE FULL)

Delivered remotely (United Kingdom) Western European Time Zone, United Kingdom

Learn SEM and causal inference in R. Use DAGs, latent variables, and path models for ecological analysis.

£450.00

MSMS05

Model Selection and Model Simplification (COURSE FULL)

Model Selection and Model Simplification (COURSE FULL)

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.

  • Duration: 2 Days, 4 hours per day
  • Next Date: November 3-4, 2025
  • Format: Live Online Format

£250Registration Fee

View Details

Model Selection and Model Simplification (COURSE FULL)

Delivered remotely (United Kingdom) Western European Time Zone, United Kingdom

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
NWAE01

Network Analysis for Ecologists

Network Analysis for Ecologists

Use R to analyse ecological networks. Learn metrics, simulation, and visualisation with igraph.

  • Duration: 2 Days, 3 hours per day
  • Next Date: November 4-5, 2025
  • Format: Live Online Format

£250Registration Fee

View Details

Network Analysis for Ecologists

Delivered remotely (United Kingdom) Western European Time Zone, United Kingdom

Use R to analyse ecological networks. Learn metrics, simulation, and visualisation with igraph.

£250.00
TMAP02

Spatial Data Visualisation and Mapping using TMAP

Spatial Data Visualisation and Mapping using TMAP

Visualise spatial data in R using the tmap package. Learn to create static and interactive maps, customise layouts, and publish high-quality visualisations.

  • Duration: 5 Days, 5 hours per day
  • Next Date: November 10-14, 2025
  • Format: Live Online Format

£450Registration Fee

View Details

Spatial Data Visualisation and Mapping using TMAP

Delivered remotely (United Kingdom) Western European Time Zone, United Kingdom

Visualise spatial data in R using the tmap package. Learn to create static and interactive maps, customise layouts, and publish high-quality visualisations.

VSED01

Visualizing Spatial Ecological Data

Visualizing Spatial Ecological Data

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 Details

Visualizing Spatial Ecological Data

Delivered remotely (Portugal) , Portugal

Learn to visualise spatial ecological data in R. Explore remote sensing, species distributions, temporal patterns, and colour-safe scientific graphics.

APCD01

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 Details

Analysis of Avian Point-Count Data in the Presence of Detection Error

Delivered remotely (United Kingdom) Western European Time, United Kingdom

Analyse bird point-count data in R. Learn N-mixture, time-removal, and distance sampling models.

SCRN01

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 Details

Single cell RNA-Seq analysis

Delivered remotely (United Kingdom) Western European Time Zone, United Kingdom

Learn single cell RNA-Seq analysis with Seurat, 10x Genomics, and advanced QC methods. Gain cell type-specific insights in this live online course.

ZIMR01

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 Details

Zero-Inflated Models (COURSE FULL)

Delivered remotely (United Kingdom) Western European Time Zone, United Kingdom

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.

TBMR01

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 Details

Tree-Based Models (COURSE FULL)

Delivered remotely (United Kingdom) Western European Time Zone, United Kingdom

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.

£150.00
ASDM01

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 Details

Advanced Species Distribution Modelling (SDM’s) and Ecological Niche Modelling (ENM’s)

Delivered remotely (Portugal) , Portugal

Learn advanced SDM and ENM techniques in R. Includes Maxent tuning, MESS and null models, and building mechanistic models and virtual species.

BMME02

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: 1 December, 2025
  • Format: Live Online Format

£450Registration Fee

View Details

Bayesian Multilevel Modelling using brms for Ecologists

Delivered remotely (United Kingdom) Western European Time Zone, United Kingdom

Learn applied Bayesian modelling in R with brms for ecological data. Build, fit, and interpret hierarchical and GLMMs in this hands-on workshop.

DVGG05

Data Visualisation in R using ggplot2

Data Visualisation in R using ggplot2

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: 3 December, 2025
  • Format: Live Online Format

£250Registration Fee

View Details

Data Visualisation in R using ggplot2

Delivered remotely (United Kingdom) Western European Time Zone, United Kingdom

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.

VGNR08

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 Details

Multivariate Analysis of Ecological Communities Using VEGAN

Delivered remotely (United Kingdom) Western European Time Zone, United Kingdom

Analyse ecological community data in R using VEGAN. Learn ordination, clustering, and multivariate statistics with real datasets.

MMIE01

Introduction to Generalised Linear Mixed Models for Ecologists

Introduction to Generalised Linear Mixed Models for Ecologists

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 Details

Introduction to Generalised Linear Mixed Models for Ecologists

Delivered remotely (United Kingdom) Western European Time Zone, United Kingdom

Model hierarchical ecological data using GLMMs in R. Covers lme4, brms, and Bayesian methods for ecologists.

MSMS06

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 Details

Model Selection and Model Simplification

Delivered remotely (United Kingdom) Western European Time Zone, United Kingdom

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.