Events

Master time series analysis and forecasting in R. Learn ARIMA, GAMs, exponential smoothing, Bayesian models, GARCH, and more in this on-demand course.

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.

Learn machine learning in R with this comprehensive course. Covers clustering, regression, trees, neural networks, and more—fully online and hands-on.

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

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.

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

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