The course is structured into two 4-hour modules and aims to provide participants with basic knowledge for the exploration, preparation, and analysis of biological data, using tools that are also applicable to other disciplines, through the open-source statistical software R. The first, introductory module presents the main procedures for data visualization and restructuring, as well as the production of exploratory graphs useful for setting up subsequent analyses, and includes an example of multivariate linear regression. The second, advanced module focuses on the analysis of datasets that do not meet the assumptions of linear regression, introducing Generalized Linear Models as a framework for dealing with more complex data.