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
Get more detailsVisit official programme website
Programme StructureLearning 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.
Check out the full curriculumVisit official programme website
- 5 days
Start dates & application deadlines
- StartingApplication deadline not specified.
DisciplinesComputer Sciences Data Science & Big Data Software Engineering View 4 other Short Courses in Software Engineering in Netherlands
Explore more key informationVisit official programme website
We are not aware of any academic requirements for this programme.
We are not aware of any English requirements for this programme.
- 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.
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Tuition FeeVisit official programme website
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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Apply and win up to €10000 to cover your tuition fees.