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


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