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R and Big Data

  • 14 - 15 October 2021
  • Wageningen campus
  • Methodology
  • 0.6 ECTS

The aim of the course is to help experienced R users to tackle the problems they face when analysing big data sets. The course will consist of a mixture of lectures and computer labs (in a ratio of approximately 60/40), so there is plenty of time for hands-on exercises. The main purposes of this course can be summarised as:

  • Introduction to Big Data and the similarities and differences between regular modelling approaches and big data modelling
  • Understanding of possibilities and limitations of R in big data research
  • Introduction to high performance computing (HPC)
  • Reproducible research

For this course a good understanding of R is required: this is not a course to learn R. This means that if you are using R regularly (e.g., several times a week), write your own scripts and perhaps even packages, you will benefit from this course.

Former occurrences of this course

5-6 October 2017

  • PE&RC and WIMEK, Wageningen University
  • At least every 2 years
  • Min. 16 / Max. 26 participants
  • For this course a good understanding of R is required: this is not a course to learn R. This means that if you are using R regularly (e.g., several times a week), write your own scripts and perhaps even packages, you will benefit from this course. Please note that you have to bring your own laptop.