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Overview
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
Duration
- Part-time
- 5 days
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
English
Credits
3 ECTS
Delivered
Online
Disciplines
Data Analytics View 7 other Short Courses in Data Analytics in NetherlandsAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score 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.
Tuition Fee
To always see correct tuition fees
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International
630 EUR/fullTuition FeeBased on the tuition of 630 EUR for the full programme during 5 days. -
EU/EEA
630 EUR/fullTuition FeeBased on the tuition of 630 EUR for the full programme during 5 days.
Funding
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