Basic statistics in R
Date: 22 October - 12 November 2026
Language of instruction: English
Understanding and applying basic statistical methods is 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 data, apply essential 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. This course lays the groundwork for following more advanced statistical modeling and data analysis training sessions.
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
Instructors: Janick Mathys
Activity log

Belgium