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2 weeks
Full time
Summer / Short course
Online / Distance
Amsterdam
English
06 July 2020
500 EUR

Program description

Data Analysis in R

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 Programsrs creating R packages makes this an up-to-date Programs providing a huge range of statistical analyses. Researchers also use R to write functions for analysing data, or to create professional plots. 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.

Admission requirements

Who should join?

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. If you have doubts about your eligibility for the course, please let us know. Our courses are multi-disciplinary and therefore are open to students with a wide variety of backgrounds.

Additional entry requirements

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.

Bachelor, Master students, PhD and professionals

Good English

For more information about admission requirements, please visit the university website.


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Tuition fees

Local/EU and International/Non-EU students full tuition fees is €500

Qualification

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.

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About this institute

Vrije Universiteit Amsterdam

Welcome to Vrije Universiteit Amsterdam

Vrije Universiteit Amsterdam (‘VU Amsterdam’) is an internationally renowned research university founded in 1880. The university offers over 170 English-taught programmes at Bachelor’s, Master’s and PhD level to more than 24,000 students from all over the world. Students and staff...


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Contact info

Vrije Universiteit Amsterdam

De Boelelaan 1105
1081 HV Amsterdam
Netherlands, the

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