Boost your R skills and analyse real data with all the Tidyverse tools for cleaning, transforming, visualizing, and modelling.
This course introduces the Tidyverse, a powerful collection of R packages that streamline data analysis in R. You'll learn the principles of "tidy data" and how to transform messy datasets into a structured format for effective analysis. The course covers data manipulation, the data science workflow, and key Tidyverse tools, including ggplot2 for creating insightful visualizations. Through hands-on exercises, you'll gain practical experience in wrangling, visualizing, and modelling data, equipping you with modern techniques to enhance your analytical workflow.
Course Format
- Dates: 19-23 January 2026
- Attendance: Online only
- Form of tuition: Online lectures and practical exercises
- Form of assessment: Written assignment with code
- Language of instruction: English
- See the course curriculum
Course Level
- Level: PhD/Postdoc
- English language requirement: B2 level or higher (equivalent to IELTS 6.5)
- See the entry requirements
Workload
- Credits: Equivalent to 3 ECTS
- Contact hours: 35
- Self-study hours: 45
Lecturers
- Coordinating lecturer: Andrea Bassi