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10 days
Full time
Summer / Short course
Scholarships available
Online / Distance
Amsterdam
English
05 July 2021

Program description

Data Analysis in R

This course focuses upon 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. 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. By the end of the two weeks you are acquainted with numerous basic functions available in R can write your own functions and can use attractive plots to present your data.

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Admission requirements

Who is it aimed at?

Bachelor, Master, PhD students and professionals

Prerequisites

Good English as well as a completed undergraduate course in statistics and an acquaintance with basic linear algebra, the fundamentals of hypothesis testing, linear regression analysis and statistical tests such as the t-test.


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Program content

At the end of this course 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.

Scholarships & funding

Several scholarship options are available. Please check the university website for more information.

Tuition fees

EU and Non-EU students fee: 800 EUR

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Want to know more about this program, Data Analysis in R? Fill out the following form and include any questions you have. This information will be sent directly to the school, and a representative will respond to your enquiry.

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VU Amsterdam offers a variety of intensive, trans-disciplinary online short courses for students and professionals. By joining our Summer or Winter school you can improve your research and academic skills, and expand your knowledge whilst earning study credits. All our small-scale courses are designed to give you an intensive and in-depth look into the subject.

Vrije Universiteit Amsterdam strives to contribute to a better world through her education and research. Vrije Universiteit Amsterdam offers high-quality, meaningful and challenging (post) academic education. With her education, VU Amsterdam delivers a contribution to the society of today and tomorrow by educating students for meaningful positions in that society.

About this institute

Welcome to Vrije Universiteit Amsterdam

Vrije Universiteit Amsterdam (‘VU Amsterdam’) is an internationally renowned research university founded in 1880. The university offers over 175 English-taught programmes at Bachelor’s, Master’s and PhD level to more than 26,000 students from all over the world. Students and staff...


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Why study at Vrije Universiteit Amsterdam

With more than 24,000 students, of which 4,088 are international, VU Amsterdam conducts cutting-edge research into problems of societal and scientific importance.

They distinguish themselves in research and education through four interdisciplinary themes:

  • Human Health and Life Sciences
  • Science for Sustainability
  • Connected World
  • Governance for Society

As a student this will help you to look beyond the boundaries of scientific disciplines, and to seek for tangible solutions for a better world.

In addition, VU Amsterdam regards diversity, whether in culture, conviction, nationality or prior education, as source of innovation and progress, and hence as special strength.

The Dutch higher education system has been ranked in the top 10 by Universitas 21. In the first Times Higher Education University Impact Ranking, VU Amsterdam is ranked 16th worldwide. In this ranking, universities are assessed based on Sustainable Development Goals (SDGs) in order to measure the impact of the universities on society. In the Academic Ranking of World Universities 2018 (Shanghai Ranking) VU Amsterdam holds the 104th position. The international QS World University ranking 2021 places the Vrije Universiteit at number 236 in the world, which means the Vrije Universiteit belongs to the top 20% of the world.

At VU Amsterdam, the teaching style can be described as student-centred: they encourage students to develop their own opinions through independent and creative thinking. This means that teaching is mainly conducted in small tutorials, where interactivity is the norm rather than the exception. At every opportunity, students are encouraged to engage in constructive dialogue with their professors.

Contact info

Vrije Universiteit Amsterdam

De Boelelaan 1105
1081 HV Amsterdam
Netherlands, the

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