This introductory training provides a practical foundation in statistical analysis using R, tailored for participants with no prior programming experience. Through a combination of e-learning and interactive online sessions, the course covers essential skills for data handling, visualization, and basic statistical testing. Participants will learn to use R and RStudio to perform common analyses—such as t-tests, ANOVA, and non-parametric alternatives—and to produce clear, publication-ready figures. The training also introduces reproducible workflows, preparing participants for more advanced data analysis and modelling applications.

Target audience
This course is designed for PhD students, postdoctoral researchers, scientists, technical staff, and industry professionals who are new to R and need a practical introduction to statistical analysis. It is particularly relevant for those working with biological or experimental data and planning to progress to more advanced topics such as omics analyses, computational biology, or statistical modelling.