Highlights
Tuition fee
1360 EUR / full
1360 EUR / full
Unknown
Tuition fee
1360 EUR / full
1360 EUR / full
Unknown
Duration
8 days
Duration
8 days
Apply date
Unknown
Apply date
Unknown
Start date
Unknown
Start date
Unknown
Campus location
Amsterdam, Netherlands
Campus location
Amsterdam, Netherlands

About

This Data Analysis in R course from Vrije Universiteit Amsterdam 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 using an overarching framework of the generalized linear model. 

Overview

With the increasing use of programming languages in data analytics, now is the time to learn their ins and outs. This Data Analysis in R course offered at Vrije Universiteit Amsterdam focuses upon understanding statistical models and analyzing the results whilst learning to work with R. As well as introducing the software to newcomers, it presents basic and more advanced statistics using an overarching framework of the generalized linear model.

Key Facts

The first week is devoted to learning how to use R and regression analysis. We start with reading data into R, descriptive statistics and visual representation of data, which is the first step for statistical analyses. We then introduce the linear regression model, a widely used model with two main purposes: modeling relationships among the variables and predicting future observations.In the second week, we will extend the linear model to the generalized linear framework, in order to analyze discrete dependent variables. The logit regression that you will work with, proves useful to understand the remainder of the course: classification. You will learn how to reduce data dimensions using principal component analysis and  cluster analysis, and how to use the learned methods for prediction.Every day consists of short lectures with examples, and exercises in which you apply what you have learned right away. The focus in the exercises and assignment is the coding in R and how to apply and to interpret generalized linear regression models. After class, you are supposed to work on an assignment in which you integrate what you have learned in the exercises during class. This assignment will be graded.

Programme Structure

Courses include:

  • Every day consists of short lectures with examples, and exercises in which you apply what you have learnt. 
  • The focus in the exercises and assignment is the coding in R and how to apply and to interpret generalized linear regression models. After class, you work on an assignment in which you integrate what you’ve learnt in the exercises. This assignment will be graded. 

Key information

Duration

  • Full-time
    • 8 days

Start dates & application deadlines

More details

course dates 7 - 11 & 14 - 18 July

This course is still accepting applications

Credits

3 ECTS

Delivered

On Campus

Campus Location

  • Amsterdam, Netherlands

What students do after studying

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Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

Other requirements

General requirements

  • The course is highly intensive both in programming and statistics, which means it will be challenging to those who lack knowledge in both fields. Preferably, you have completed an undergraduate course in statistics, an acquaintance with basic linear algebra, the fundamentals of hypothesis testing, linear regression analysis and statistical tests such as the t-test. 
  • Although we will briefly go over these topics again to refresh your memory, we do not recommend this course to those who learn will these concepts for the first time. For people with programming experience (other languages such as Python), it might be possible to step in with little prior knowledge of statistics.
  • Apart from Bachelor's and Master's students, we also welcome PhD candidates and professionals to apply to the course.

Student insurance

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:

  • Additional medical costs (i.e. dental)
  • Repatriation, if something happens to you or your family
  • Liability
  • Home contents and baggage
  • Accidents
  • Legal aid

We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Get your student insurance now

Starting from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Vrije Universiteit Amsterdam and/or in Netherlands, please visit Student Insurance Portal.

Tuition Fee

To always see correct tuition fees
  • International

    1360 EUR/full
    Tuition Fee
    Based on the tuition of 1360 EUR for the full programme during 8 days.
  • EU/EEA

    1360 EUR/full
    Tuition Fee
    Based on the tuition of 1360 EUR for the full programme during 8 days.
  • Tuition fee: €765 - €1360

Living costs for Amsterdam

1000 - 1500 EUR /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

If you have been accepted to VU Amsterdam Summer School and have paid the tuition fee, but due to unforeseen circumstances need to cancel, the following refunds will be given:

  • Cancellation before 1 May: 100% of total fee will be refunded
  • Cancellation before 1 June: 50% of total fee will be refunded
  • Cancellation after 1 June: no refund will be given
Costs such as travel arrangement will not be refunded. We therefore suggest to wait with booking your travel arrangements until May.

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