This 4-day intensive course builds on the content from our R for Beginners course, providing an excellent toolbox for multidisciplinary scientists in areas of life sciences and biomedicine (particularly oriented to omics datasets).

Day 1. Recap of R fundamentals and introduction to loops in R: Building on the R fundamentals from our R for beginners course, we will teach you how to use programmatic loops. Loops allow you to automate repetitive tasks and accelerate your analysis, making your scripts neater and saving you time.

Day 2. Applying loops with custom functions: We will teach you how to apply loops to different data structures and how to create your very own functions in R, allowing you to customise your analysis based on your needs.

Day 3. Introduction to Data Science and Data Analysis Pipelines: We will cover the key steps in a data analysis pipeline including normalisation, batch correction, clustering, and how to deal with selecting variables in a multivariate dataset using supervised modelling (e.g. PLS-DA).

Day 4. Introduction to machine learning and functional enrichment: We will introduce the powerful machine learning approach Random forests as well as apply gene ontology functional enrichment analysis, finishing with applying your new skills to two RNAseq case studies.

The course is designed to be undertaken at the student’s own pace with 1 on 1 targeted support from our team of experts. Our team comprises computational biologists, data scientists, and bioinformaticians with a strong background in both wet and dry lab projects. Empowering you on a self-learning path, you will gain essential skills to apply R to your research projects and to generate publication-ready outputs.

We will also be available to assist with your learning up to two months after the final day of the course. Moreover, upon completion of the course, all delegates will be invited to join a peer-peer support community “RClub” to enhance their research/analytical work.

This course runs twice a year – in April and in November. The next cohort will be held online on the **1st-4th April 2025.

Sign up using the link provided before the 18th March 2025. Places are limited and registration may close earlier if places are full.

The course has a cost of £400 for all academic delegates; £600 for all delegates from public institutions (not academic). Industry delegates may submit an application and will be quoted on an individual basis. If you are a delegate from the University of Liverpool you can access student bursaries, that you can apply to using this link. Note the delegate bursaries applications close on the 4th March 2025. You must submit both a registration form and a bursary application to be considered.

Applications close on the 18th March 2025, and spaces are limited.

To sign up, please use this form.