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 Overview
- Entry requirements
- Course days: 6 - 10 January 2025
- Attendance: online only
- Course level: Master's students, PhD candidates, and professionals
- See the course curriculum
- Coordinating lecturer: Andrea Bassi
- Forms of tuition: online lectures and practical sessions
- Language of tuition: English
Please note: a student is expected to have a high level of English proficiency for this course (at least equivalent to IELTS 6.5 / Level B2) - Forms of assessment: written assignment
- Equivalent to 3 ECTS
- Contact hours: 35
- Self-study time: 45
What students say about this course
When asked about the best part of the course, students from the 2023 winter school edition answered:
“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.”
“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.”
