Foundations of Data Analysis with R

With the increasing use of statistical languages like R in data analysis, now is the time to get to grips with them!

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, PhD/Postdoc candidates, and professionals
• English language requirement: B2 level or higher (equivalent to IELTS 6.5)

Workload 

• Credits: Equivalent to 3 ECTS
• Contact hours: 35
• Self-study hours: 45