
£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.

£400Registration Fee
View DetailsAnalyse animal acoustic signals in R. Learn spectrograms, annotations, and bioacoustic workflows.

£400Registration Fee
View DetailsLearn Bayesian multilevel models with brms to analyse hierarchical, longitudinal, and repeated-measures data in the social sciences.

£350Registration Fee
View DetailsLearn 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.

£400Registration Fee
View DetailsLearn hierarchical generalized additive models (HGAMs) to analyse nonlinear, hierarchical, and grouped biological data using R.

£350Registration Fee
View DetailsLearn 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.

£400Registration Fee
View DetailsBayesian Statistical Modelling with Stan and brms is an advanced R course for researchers covering Bayesian model building, diagnostics, and interpretation using Stan and brms.

£300Registration Fee
View DetailsLearn 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.