R and Rstudio have become the statistical software applications to perform high quality analyses. In this one week course you will learn about all the facets of R and Rstudio: From doing basic and advanced statistical analysis to producing publication ready visualizations, pdf, and word documents.
R, being an open source, as opposed to a closed source, makes it a highly innovative and adaptive software. The aim of the course Introduction to Data Science with R and Rstudio is to learn and experience working with the software with the aid of short explanations and exercises which will gradually increase in complexity and extend in several relevant areas of working with R and Rstudio for statistics.
If you have a question about this course, you can send an email to radboudsummerschool [at] ru.nl (radboudsummerschool[at]ru[dot]nl).
Startdate: 1 July 2024 - 5 July 2024
ECTS credits: 2 ECTS. For more information see credits and certificate.
The week will start with an introduction to R and Rstudio interfaces. You will learn how to read and import the data, how to set op projects, and how to run descriptive analysis. The aim here is to teach you how to organize R projects, handle data, scripts and output documents. As the week continues, you will familiarize yourself with scale analysis, dimension reduction, and various regression analysis techniques. This will help you with making the choice which R packages are the most appropriate to analyze specific data. At the end of the week, you will have acquired sufficient skills to be able to program with R. This can be applied to a large extend, think about applying it for loops, functions, and parallel computing.
The final aim of the course are for you to gain a better understanding in the process of preprocessing data for final analyses to generate answers to research questions, how to clearly communicate these findings in tabular and/or visual form, and how to export these findings to the appropriate files.
The weekly programme of Radboud Summer School is carefully designed for the best experience. On this page you will find the timetables and social events.
Maurice Vergeer is an expert on social media. His research focuses on how political actors use the internet during election campaigns. Furthermore, he studies how journalists use the internet in their daily work. His work uses quantitative research methods applied on large data sets. His work gets published in highly-ranked academic journals.
Includes: your course, coffee and tea during breaks, a warm lunch every day, Official Opening, Official Closing (with some drinks and snacks).
Excludes: transport, accommodation, social events and other costs.
Level of participant:
Admission requirements: Possession of basic knowledge of statistics and research methods.
Admission documents: Motivation letter.
We can keep you informed about the 2025 course program! Do you want to broaden your knowledge in 2025 over courses about sustainability, law, research methods & skills, data science and more. Get an email when the new proposal is ready. Because you have a part to play!
