Live Online CoursesRecorded CoursesPrevious CoursesConsultancyAboutContact

3

Views Navigation

Event Views Navigation

Today

APCDPR

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

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

Learn to analyse avian point-count data with R, accounting for detection error using models like N-mixture, distance sampling, and time-removal.

  • Duration: 12 hours
  • Next Date: Available 24 November
  • Format: Recorded ‘on-demand’ Format

£450Registration Fee

View Details

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

Recorded , United Kingdom

Learn to analyse avian point-count data with R, accounting for detection error using models like N-mixture, distance sampling, and time-removal.

Get Tickets £450.00

BARMPR

Bayesian Approaches to Regression and Mixed Effects Models Using brms

Bayesian Approaches to Regression and Mixed Effects Models Using brms

Bayesian Regression & Mixed Models in R with brms – On-Demand Course

  • Duration: 12 Hours
  • Format: Recorded ‘on-demand’ Format

£250Registration Fee

View Details

Bayesian Approaches to Regression and Mixed Effects Models Using brms

Recorded , United Kingdom

Bayesian Regression & Mixed Models in R with brms – On-Demand Course

Get Tickets £250.00
FMAPPR

Introduction to Spatial Data visualisation and Mapping in R

Introduction to Spatial Data visualisation and Mapping in R

Recorded course on spatial data visualisation and mapping using tmap in R, led by the package author. Learn mapping skills at your own pace.

  • Duration: 4 Hours
  • Next Date: Available 14 September
  • Format: Recorded ‘on-demand’ Format

£50Registration Fee

View Details

Introduction to Spatial Data visualisation and Mapping in R

Recorded , United Kingdom

Recorded course on spatial data visualisation and mapping using tmap in R, led by the package author. Learn mapping skills at your own pace.

Get Tickets £50.00
IBHMPR

Introduction to Bayesian Hierarchical Modelling

Introduction to Bayesian Hierarchical Modelling

Learn Bayesian hierarchical modelling with R, JAGS & Stan. A 24 hour on-demand course ideal for scientists and analysts working with complex structured data.

  • Duration: 24 Hours
  • Format: Recorded ‘on-demand’ Format

£350Registration Fee

View Details

Introduction to Bayesian Hierarchical Modelling

Recorded , United Kingdom

Learn Bayesian hierarchical modelling with R, JAGS & Stan. A 24 hour on-demand course ideal for scientists and analysts working with complex structured data.

Get Tickets £350.00
TMAPPR

Spatial Data Visualisation and Mapping using TMAP

Spatial Data Visualisation and Mapping using TMAP

Visualize spatial data in R with tmap. Learn to create static and interactive maps using sf, terra, and stars in this 20-hour on-demand course.

  • Duration: 20 Hours
  • Format: Recorded ‘on-demand’ Format

£450Registration Fee

View Details

Spatial Data Visualisation and Mapping using TMAP

Recorded , United Kingdom

Visualize spatial data in R with tmap. Learn to create static and interactive maps using sf, terra, and stars in this 20-hour on-demand course.

Get Tickets £450.00
BMMEPR

Bayesian Multilevel Modelling using brms for Ecologists

Bayesian Multilevel Modelling using brms for Ecologists

Learn Bayesian multilevel modeling for ecological data in R using brms. Covers GLMs, priors, spatial/temporal models, species distributions in this 40 hour on-demand course.

  • Duration: 40 Hours
  • Format: Recorded ‘on-demand’ Format

£450Registration Fee

View Details

Bayesian Multilevel Modelling using brms for Ecologists

Recorded , United Kingdom

Learn Bayesian multilevel modeling for ecological data in R using brms. Covers GLMs, priors, spatial/temporal models, species distributions in this 40 hour on-demand course.

Get Tickets £450.00
PROJPR

Adapting to the Recent Changes in R Spatial Packages (sf, terra, PROJ library)

Adapting to the Recent Changes in R Spatial Packages (sf, terra, PROJ library)

Update Your R Spatial Skills: From sp/raster to sf/terra/PROJ7

  • Duration: 15 Hours
  • Format: Recorded ‘on-demand’ Format

£350Registration Fee

View Details

Adapting to the Recent Changes in R Spatial Packages (sf, terra, PROJ library)

Recorded , United Kingdom

Update Your R Spatial Skills: From sp/raster to sf/terra/PROJ7

Get Tickets £350.00

IMLRPR

Introduction to Machine Learning

Introduction to Machine Learning

Learn machine learning in R with practical, hands-on instruction. Covers supervised, unsupervised models, interpretability, and evaluation in 40 hours.

  • Duration: 40 Hours
  • Next Date: Available 13 October
  • Format: Recorded ‘on-demand’ Format

£450Registration Fee

View Details

Introduction to Machine Learning

Recorded , United Kingdom

Learn machine learning in R with practical, hands-on instruction. Covers supervised, unsupervised models, interpretability, and evaluation in 40 hours.

Get Tickets £450.00
MLIAPR

Machine Learning Intermediate to Advanced

Machine Learning Intermediate to Advanced

Advance your machine learning skills in R with deep learning, Bayesian methods, transformer models, clustering, and anomaly detection in this 28-hour live online course.

  • Duration: 28 Hours
  • Format: Recorded ‘on-demand’ Format

£450Registration Fee

View Details

Machine Learning Intermediate to Advanced

Recorded , United Kingdom

Advance your machine learning skills in R with deep learning, Bayesian methods, transformer models, clustering, and anomaly detection in this 28-hour live online course.

Get Tickets £450.00
MLUPPR

Machine Learning using Python

Machine Learning using Python

Machine learning using Python: supervised and unsupervised learning, neural networks, and practical model building with scikit-learn and TensorFlow.

  • Duration: 40 Hours
  • Format: Recorded ‘on-demand’ Format

£450Registration Fee

View Details

Machine Learning using Python

Recorded , United Kingdom

Machine learning using Python: supervised and unsupervised learning, neural networks, and practical model building with scikit-learn and TensorFlow.

Get Tickets £450.00
MVUPPR

Machine Vision using Python

Machine Vision using Python

Machine vision using Python: apply deep learning and computer vision with OpenCV and TensorFlow for real-world image classification and ecological data applications.

  • Duration: 40 Hours
  • Format: Recorded ‘on-demand’ Format

£450Registration Fee

View Details

Machine Vision using Python

Recorded , United Kingdom

Machine vision using Python: apply deep learning and computer vision with OpenCV and TensorFlow for real-world image classification and ecological data applications.

Get Tickets £450.00