Events, courses and workshops

We run a series of courses and events annually, sharing the skills and knowledge within the CBF with academic and industry based researchers. You can find all details of our regular workshops and courses below.

We also run personalised training programs for small groups or one-to-one sessions, please contact us with any requests.

 

R for beginners Blue binary code

R for beginners

This online course has been designed to introduce R from the very basics and designed to stimulate and encourage the use of R for life sciences and clinical research projects. Next course: Tue 4th - Thu 6th November 2025. Registration will open a month or so before.

R for data science Abstract illustration of block chain and graphs

R for data science

Builds on the content from R for beginners. Providing an excellent toolbox for multidisciplinary scientists. This course is now adapted to be offered online. Next course Tues 25th - Fri 28th November 2025. Registration will open a month or so before.

Statistics for NMR metabolomics Abstract line graph

Statistics for NMR Metabolomics

Created by our data scientists in close collaboration with the NMR Metabolomics facility. The next fully online course is split over two mornings, the dates are to be confirmed.

Machine Learning in R Big Data and Machine Learning in Finance

Practical Machine Learning in R

Builds on the content from R for data science. A fantastic introduction to machine learning for life sciences and clinical scientists. Next course dates are TBC Registration will open two months before next iteration.

Pathways, Networks & Biomarkers

Pathways, Networks and Biomarkers course

This new 3-day intense course is designed for experimental scientists and clinicians that wish to go beyond the basic analysis of their data and start embracing what data science and computational biology can offer. Next course dates are to be confirmed.

Single Cell RNASeq course Image of cells on blue background

Single Cell RNASeq course

This 3-day course teaches participants to process and interpret single-cell transcriptomic data using R-based tools and common analysis strategies. Course Dates: Tues 8th - Thu 10th April 2025