R is an open-source programming language that has become very important in data science because of its versatility in the field of statistics. R is usually used when the task requires special analysis of data for standalone or distributed computing. R is also perfect for data exploration. It can be used in any kind of analysis work, as it has many tools and is also very extensible.
This course focuses on understanding statistical models and analysing the results whilst learning to work with R. As well as introducing the software to newcomers, it presents basic and more advanced statistics.
Course Format
- Dates: 12-16 January 2026
- Attendance: Online only
- Form of tuition: Online lectures and practical sessions
- Form of assessment: Written assignment
- Language of instruction: English
- See the course curriculum
Course Level
- Level: Master’s stduents and PhD/Postdoc candidates
- 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
What students say about this course
“Andrea was an excellent teacher during this course and provided more than enough materials + helpful documents. I've followed other beginner courses, but this is the first time I actually understand everything.” – 2025 WS Student
“The teacher! He really explained everything so well. It was such an intense course, but I really liked how he presented everything to us and was open to questions.” – 2024 WS Student
“The teacher took time to answer all the questions, and I like how the course was built up. So, for every new exercise you needed to understand the previous lecture or exercise.” – 2023 WS Student