Data science us key in modern biological and biomedical research. It has become paramount for experimental researchers to acquire basic data analysis skills to

• become autonomous in basic data analysis and visualisation
• leverage these basic data science skills as a stepping stone to acquire mode advanced skills such as omics data analysis 
• facilitate communication with expert bioinformaticians.

This course will address these points using the R language, the RStudio environment and focusing on tidy biomedical data analysis.

After the workshop, the learners will be able to:

• Use RStudio to write R scripts and manage data analysis projects.
• Understand and apply to principles of tidy data to own data.
• Use R’s basic data types
• Import and export tabular data in/out of R.
• Manipulate and analyze tabular data using tidyverse.
• Visualize data using the ggplot2 package
• Know about the Bioconductor project & SummarizedExperiment data structures