R for Data Science - Intermediate (April 2026)

The course is offered by the Computational Biology Facility at the University of Liverpool.  The course will take place online and delegates can work at their own pace.  You will have access to a learning community and 1-1 support throughout.

This course builds on the content from R for beginners and provides an excellent tool for multidisciplinary scientists.  The learning objectives for this course are as follows:

1. To write your own custom functions
2. To use for loops, apply functions and if statements
3. To analyse large matrices of data in a semi-automated way
4. To normalise data
5. To quantify and correct batch effect
6. To undertake the most common clustering algorithms including k-means and hierarchical
7. To perform variable selection and present these results in different plots including heatmaps
8. To do 2-way ANOVA
9. To undertake multivariate modelling
10. A brief introduction to machine learning.
11. A brief introduction to functional enrichment with R using the package clusterProfiler