QCIF EVENTS

An introduction to next generation sequencing technologies and how they work, and carrying out basic bioinformatics analysis with the Galaxy platform.

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

Learn how you can record and trace every change made to a document, be it software code or a thesis.

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

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

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.

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

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

Discover unsupervised machine learning methods, including k-means, hierarchical, and density-based clustering, along with dimensionality reduction techniques.

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.

Learn the theory behind decision trees, including how they split data, handle overfitting, and work with both classification and regression problems.