QCIF EVENTS

Use Large Language Models (LLMs) for reproducible workflows in literature review, data preparation, coding, analysis, and research writing.

Develop practical R skills for analysing and visualising genomic data.

This workshop series is a practical introduction to the REDCap survey management platform.

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

This workshop will provide a hands-on introduction to the widely-used SPSS statistical analysis package. Learn how to import, manage and transform datasets, and how to summarise and present data. The workshop will also include a basic introduction to statistical inference testing using SPSS.

Discover how regression turns data into meaningful predictions.

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

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

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

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

A workshop on understanding statistical relationships using regression in R, covering key methods, result interpretation, and hands-on analysis practice.

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

Decision trees are a fundamental supervised learning method that form the backbone of many powerful ensemble models.

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

Discover how to perform image classification using a convolutional neural network (CNN) by building, training and evaluating a model with a real set of images.

Learn how to leverage human psychology to communicate your findings, compose a strong data driven narrative, and much more.