Understand the principles of R and make your data more efficient.

This course enables you to:

R is a programming language and software environment for statistical computing and graphics and the R language is widely used among statisticians and data miners for developing statistical software and data analysis. Coming to grips with R can be tough, even for seasoned statisticians and data analysts, so this course, designed by Nebu, will help you understand the main principles, find out how to use it properly and make your data analytics more efficient.

Why use R?

R is a cost effective tool tailored for all kinds of quantitative research and can easily be inserted in a complex toolchain. It’s thoroughly tested and has a supportive user community, so you can apply the community’s contribution to your analytics, helping you extend data processing and utilisation capabilities beyond functionalities provided by SPSS.

Who would benefit

The training is designed by nebu for researchers and data scientists/analysts:

  • Experienced with SPSS
  • Looking for automation of research projects
  • Looking for more data processing and analytical freedom to innovate their projects


  • To discover a brief history of R.
  • Get to know what you can do with R.
  • Understand the main principles of the R language.
  • Learn what Packages are and how to use them in your day-to-day work.
  • Understand the methods to prevent you from falling at the first hurdle in using R.
  • Make your data analytics more efficient, optimising cleansing, processing, merging and visualising.

Learning outcomes

  • Discover what R is.
  • The basic principles of R.
  • How to use R in research.
  • How to limit the knowledge hurdle.
  • How to write basic R scripts.



  • If possible, please bring your own laptop
  • R and RStudio should be installed before the training (full instructions will be shared with attendees in advance and NO ADDITIONAL COSTS ARE INVOLVED)

The Old Trading House, 15 Northburgh Street,London,EC1V 0JR

Joris Meys is a co-author of “R for Dummies,” published in 2012 together with Andrie de Vries. He graduated from the Biology department at the University of Antwerp in 2012. After working as a researcher, writer and project manager, he obtained a second master's degree, this time in statistical data analysis. Since 2009 he works as a statistician, R programmer, and lecturer at Ghent University. He has developed multiple packages and web interfaces for a wide variety of applications. Over the years he has given numerous workshops on R and statistical analysis for both researchers and companies.

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