Research Informatics Training |

The Cambridge Centre for Research Informatics Training equips researchers with practical skills in bioinformatics, statistics, data science, programming and machine learning. Based at the University of Cambridge, the Centre brings together experts from across the University and partner institutes to support researchers from undergraduate level through to advanced professional practice.

Find your next step in our course overview or browse our training offerings by theme below.

Foundational skills

Develop the computational and data analysis skills needed to manage, analyse, and interpret datasets using tools such as Python, R, Unix, and HPC.

Applied Statistics

Develop practical statistical skills to design experiments, and apply methods such as hypothesis testing, linear models, and Bayesian inference to real-world data.

Bioinformatics

Develop practical skills for analysing biological datasets using modern bioinformatics methods, including sequencing, genomics, transcriptomics, proteomics, and computational workflows.