5 days
Tuition fee
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This Data Analysis in R course offered by Vrije Universiteit Amsterdam focuses upon understanding statistical models and analysing the results whilst learning to work with R. 

Visit the official programme website for more information


R is an open-source programming language that has become very important in data science because of its versatility in the field of statistics. 

Data Analysis in 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.

Course Overview at Vrije Universiteit Amsterdam  

  • Course days: 9-13 January 
  • Attendance: online
  • Course level: Master's, PhD candidates, and professionals from all disciplines 
  • Coordinating lecturer: Andrea Bassi 
  • Forms of tuition: online, interactive seminar
  • Forms of assessment: written assignment
  • Credits: 3 ECTS
  • Contact hours: 35 hours

Programme Structure

Learning objectives
  • Students will develop their programming skills in R and statistically evaluate quantitative data sources, conduct various statistical tests, and analyse data using generalised linear frameworks.
  • Upon completion of the course, students will be familiar with the various popular R packages, have the tools to write their own functions, and know how to use attractive plots to present their data. 
  • There will be an assignment at the end of the course that is graded.

Key information


  • Part-time
    • 5 days

Start dates & application deadlines







Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Students and professionals with a basic knowledge of statistics (at least an undergraduate course is a pre-requisite) who are interested in learning the basics and some more advanced skills of R, and applying them to solving their data analysis problems.
  • Final year Bachelor, Master students, PhD candidates and professionals are welcome to apply. 
  • It is not necessary to provide us with proof of your English. We do expect your English to be sufficient to understand classes and course literature. This means you should have at least a B2 level of English, as developed within the Common European Framework of References for Languages (CEFR). This is comparable to a TOEFL internet test with a score of 92, or an IELTS score of 6.5.
  • Highly recommended: Basic statistics knowledge and knowledge of basic programming concepts.


Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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Data Analysis in R
Vrije Universiteit Amsterdam


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