Data processing, visualization, and statistical basics are essential for anyone working with data. This beginner-friendly training introduces you to the R software environment, a powerful open-source tool for data analysis and visualization. Participants will learn how to manage and visualize data, apply basic statistical techniques in R such as t-tests, ANOVA, and non-parametric counterparts. By the end of the training, you will be able to generate publication-ready plots and perform simple statistical comparisons on your data. This course lays the groundwork for following more advanced statistical modeling and data analysis training sessions. This course combines e-learning with online sessions The course will consist of: A theoretical e-learning course to explain the statistics behind the analysis in R (not mandatory but recommended for those with no statistical background)e-learning, where you will watch parts of the theory upfrontDemo and exercise sessions on YouTube, where your questions will be answered, and where you can apply the theory to real-life example data Since part of the course is done via e-learning, you have to consider that you will have to spend some time on this course outside of class.