QCIF EVENTS

A hands-on, introductory Python course. Learn basic programming concepts and how to automate analysis for improved reproducibility and productivity.

This workshop introduces the core skills for analysing RNA‑seq data with R, from preprocessing to differential expression and gene set analysis.

A guide to basic hypothesis testing. Learn about correlation, categorical and continuous data, and comparisons between groups.

Classification is a core supervised learning technique used to categorise data into discrete classes.

A novice programmers guide to the R software environment, a powerful, popular and free statistical and graphical programming language.

Learn the essential command‑line skills that make it easier to work efficiently and access powerful computing tools.

Develop an understanding of the principles, methods, and interpretation of statistical models for longitudinal data (i.e. repeated measures over time) using R.

A focused, practical introduction to creating clear and informative data visualisations in R using the ggplot2 package.

Discover software containers - a reproducible, standardised, transferrable way to run research software consistently across different hardware.

Build a better understanding of the statistical relationships within your data with linear regression using SPSS software.