Online version of the CSC Data Analysis with R course (delivered via Zoom). The course aims to equip learners with essential skills in using R, including data wrangling and plotting. Topics include data importing and exporting, handling real-life data sets and creating publication-ready plots. By default the course runs over a period of two days, but can be extended to include a third day focusing on statistical testing.



Online version of the CSC Data Analysis with R course (delivered via Zoom). The course aims to equip learners with essential skills in using R, including data wrangling and plotting. Topics include data importing and exporting, handling real-life data sets and creating publication-ready plots. By default the course runs over a period of two days, but can  be extended to include a third day focusing on statistical testing (see  learning outcomes and program below).


An online course with 10 lectures offering a practical introduction to machine learning, including classification, regression, dimensionality reduction and unsupervised learning. Topics covered include linear classification and regression, nearest neighbor methods, support vector machines, decision trees, neural networks, clustering, and anomaly detection.