Date: 6 - 27 October 2025

Language of instruction: English

Understanding and applying basic statistical methods is essential for anyone working with data. Using R - a free, powerful, and widely used statistical programming language - you will learn how to manage and visualize data and perform basic statistical tests. By the end of the training, you will be able to confidently use R and RStudio to conduct basic parametric tests such as t-tests and ANOVA, and their non-parametric counterparts, and to generate publication-ready plots. This course lays the groundwork for subsequent training in more advanced statistical modeling and data analysis. This introductory course is designed for students, researchers, and professionals with no prior experience in R who want to gain programming skills in R.

Keywords: programming, statistics

Learning objectives:

  • “Apply basic statistical tests in R (e.g. t-tests Wilcoxon tests one-way ANOVA Kruskal-Wallis tests correlations survival analysis) to analyze data appropriately”
  • “Create a range of visualizations (e.g. bar charts boxplots violin plots scatter plots PCA plots heat maps) to explore and communicate data insights”
  • “Import format and export datasets in R to prepare data for analysis”
  • “Recognize the purpose and basic functionalities of R and RStudio to use the software effectively”
  • “Write and execute R scripts to document and reproduce data analysis workflows”

Organizer: VIB

Event types:

  • Workshops and courses


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