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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
- Starting
- Apply before
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More details
course dates 7 - 11 & 14 - 18 July
This course is still accepting applications
Language
English
IELTS 6.5
TOEFL® IBT 92
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Credits
3 ECTS
Delivered
On Campus
Campus Location
- Amsterdam, Netherlands
Disciplines
Computer Sciences Data Science & Big Data Data Analytics View 10 other Short Courses in Data Analytics in NetherlandsWhat 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.
English requirements
IELTS 6.5
TOEFL® IBT 92
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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 nowStarting 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
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International
1360 EUR/fullTuition FeeBased on the tuition of 1360 EUR for the full programme during 8 days. -
EU/EEA
1360 EUR/fullTuition FeeBased 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
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