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GLMG01

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

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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.

Sold Out £450.00
IPYB01

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

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Introduction to Python for Ecologists and Evolutionary Biologists

Beginner Python course for biologists. Learn file handling, loops, and bioinformatics-focused coding in Python.

Get Tickets £480.00
RNAA01

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

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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.

Get Tickets £350.00
SDMB07

Species Distribution Modelling With Bayesian Statistics (Registration deadline January 13th)

Species Distribution Modelling With Bayesian Statistics (Registration deadline January 13th)

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

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Species Distribution Modelling With Bayesian Statistics (Registration deadline January 13th)

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

Get Tickets £385.00

MMIE02

Introduction to Generalised Linear Mixed Models for Ecologists

Introduction to Generalised Linear Mixed Models for Ecologists

Learn to build and interpret linear, generalised linear, and multilevel models for ecological data using R, lme4, and rstanarm in this five day applied training course.

  • Duration: 5 Days, 6 hours per day
  • Next Date: February 2-6, 2026
  • Format: Live Online Format

£450Registration Fee

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Introduction to Generalised Linear Mixed Models for Ecologists

Learn to build and interpret linear, generalised linear, and multilevel models for ecological data using R, lme4, and rstanarm in this five day applied training course.

Get Tickets £450.00
PYDS01

Python for Data Science and Statistical Computing

Python for Data Science and Statistical Computing

Learn Python for data science and statistical computing. Build skills in NumPy, Pandas and visualisation across two days of hands-on training for researchers and analysts.

  • Duration: 2 Days, 6 hours per day
  • Next Date: February 9-10, 2026
  • Format: Live Online Format

£300Registration Fee

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Python for Data Science and Statistical Computing

Learn Python for data science and statistical computing. Build skills in NumPy, Pandas and visualisation across two days of hands-on training for researchers and analysts.

Get Tickets £300.00
SPMP01

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

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Introduction to Processing and Analysis of Spatial Multiplexed Proteomics Data

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

Learn spatial multiplexed proteomics data analysis with CODEX, CycIF, and MACSIMA. Master image processing, segmentation, phenotyping, and spatial analysis in R and Python.

Get Tickets £450.00
DLUP01

Deep Learning Using Python

Deep Learning Using Python

Deep learning course using Python and PyTorch. Learn neural networks, CNNs and transformers through hands-on coding and real data across two intensive training days.

  • Duration: 2 Days, 6 hours per day
  • Next Date: February 12-13, 2026
  • Format: Live Online Format

£300Registration Fee

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Deep Learning Using Python

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

Deep learning course using Python and PyTorch. Learn neural networks, CNNs and transformers through hands-on coding and real data across two intensive training days.

Get Tickets £300.00
DLUR01

Deep Learning using R

Deep Learning using R

Learn deep learning in R using the torch ecosystem. Build MLPs, CNNs and transformer models through hands-on coding and gain practical skills for real research workflows.

  • Duration: 2 Days, 6 hours per day
  • Next Date: February 23-24, 2026
  • Format: Live Online Format

£300Registration Fee

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Deep Learning using R

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

Learn deep learning in R using the torch ecosystem. Build MLPs, CNNs and transformer models through hands-on coding and gain practical skills for real research workflows.

Get Tickets £300.00
SCRN02

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: February 23-26, 2026
  • Format: Live Online Format

£350Registration Fee

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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.

Get Tickets £350.00
BMIN03

Bayesian Modelling Using R-INLA

Bayesian Modelling Using R-INLA

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.

  • Duration: 5 Days, 7 hours per day
  • Next Date: February 23-27, 2026
  • Format: Live Online Format

£500Registration Fee

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Bayesian Modelling Using R-INLA

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

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.

Get Tickets £500.00

PYBD01

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

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Python for Biological Data Exploration and Visualization

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

Explore and visualise biological data in Python using pandas and seaborn. Ideal for applied researchers.

Get Tickets £480.00 25 tickets left
APYB01

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

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Advanced Python for Ecologists and Evolutionary Biologists

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

Take your Python skills further. Learn OOP, testing, and optimisation for complex bioinformatics tasks.

Get Tickets £480.00 20 tickets left

AEDD01

Analysing Ecological Data with Detection Error

Analysing Ecological Data with Detection Error

Learn to analyse ecological field data with detection error using R. Work with point counts, ARU data, N-mixture models, distance sampling and time-removal methods.

  • Duration: 4 Days, 4 hours per day
  • Next Date: April 20-23, 2026
  • Format: Live Online Format

£350Registration Fee

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Analysing Ecological Data with Detection Error

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

Learn to analyse ecological field data with detection error using R. Work with point counts, ARU data, N-mixture models, distance sampling and time-removal methods.

Get Tickets £350.00

MOVE09

Movement Ecology (the Analysis of Movement Data)

Movement Ecology (the Analysis of Movement Data)

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.

  • Duration: 5 Days, 8 hours per day
  • Next Date: May 11-15, 2026
  • Format: Live Online Format

£480Registration Fee

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Movement Ecology (the Analysis of Movement Data)

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

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.

Get Tickets £480.00