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Overview
We are looking forward to welcoming you to VU Amsterdam Summer School online this year! Previous students exclaimed finding our summer school absolutely wonderful, interesting and fun yet also tremendously helpful for their professional and academic careers.
With the increasing use of alternative software packages like R in data analysis, now is the time to learn their ins and outs. The large number of active programmers creating R packages makes this an up-to-date programme providing a huge range of statistical analyses. Researchers also use R to write functions for analysing data, or to create professional plots.
At the end of this Data Analysis in R course from Vrije Universiteit Amsterdam you can:
- Evaluate the quality of quantitative data sources.
- Choose the appropriate method for an analysis, depending upon the data source.
- Conduct various statistical tests.
- Analyse data using generalized linear framework.
- Decide when and how to use dimension reduction.
- Conduct and interpret factor analysis.
- Enjoy your developed programming skills.
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Visit official programme websiteProgramme Structure
Course content
- We start with descriptive statistics and simple regression, before moving on to multiple regression.
- Many problems in data analysis are related to dimension reduction, from data mining problems such as classification to analyzing survey answers. You will learn how to reduce data dimensions using principal component analysis and how to analyse multi-item scales using confirmatory factor analysis. Additionally, you learn how to treat missing data in various models.
- Lastly we will introduce how to create and adjust plots in R. Every day consists of short lectures with examples, and exercises in which you apply what you have learned right away. Each week you are supposed to make an assignment which is graded. The focus in the exercises and assignment is the coding in R and how to apply and to interpret generalized linear regression models.
Audience
Students or professionals with an interest in quantitative data analysis using R. We will use examples from Economics, Social Sciences and Biostatistics. No programming experience is required. PhD students wishing to refresh their knowledge are also welcome.
Check out the full curriculum
Visit official programme websiteKey information
Duration
- Full-time
- 10 days
Start dates & application deadlines
- Starting
- Apply before
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- Starting
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More details
- Dates session 1: 5 July – 16 July
- Dates session 2: 19 July – 30 July
- The applications for the Summer School have just closed, but the VU Graduate Winter School will open soon!
Language
English
Credits
3 ECTS
Delivered
Online
Disciplines
Statistics Computer Sciences Data Science & Big Data View 7 other Short Courses in Statistics in NetherlandsExplore more key information
Visit official programme websiteAcademic 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
- Curriculum Vitae/Résumé
- Transcript of records (a print screen of your most recent grades is sufficient and needs to include your name and the name of your University)
Make sure you meet all requirements
Visit official programme websiteTuition Fee
To alway see correct tuition fees
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International
700 EUR/fullTuition FeeBased on the tuition of 700 EUR for the full programme during 10 days. -
EU/EEA
700 EUR/fullTuition FeeBased on the tuition of 700 EUR for the full programme during 10 days.
700-950 EUR
Funding
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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