Data Analysis in R Vrije Universiteit Amsterdam

Overview

The Data Analysis in R course offered by 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.

Data Analysis in R is usually used when the task requires special analysis of data for standalone or distributed computing. R is also perfect for data exploration. It can be used in any kind of analysis work, as it has many tools and is also very extensible.

Students should apply for Data analysis in R to discover the enormous potential of the open-source programming language R and to develop a series of skills and tools to analyse statistical problems of a diverse nature.

Learning Objectives

By the end of the course, students will be acquainted with various popular R packages, and will be able to perform different statistical analyses, writing their own functions and use attractive plots to present their data.

We will start with descriptive statistics and visual representation of data, which is the first step for most statistical analyses. We then introduce the linear regression model, a widely used model with two main purposes: modelling relationships among the data and predicting future observations. After that, we will extend the linear model to the generalised linear framework, in order to analyse non-normally distributed variables.