R and Big Data

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R and Big Data



big-data-cloudFor this course a basic understanding of R is required: this is not a course to learn R. 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

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.

Tentative Programme
  • Day 1, morning: Big Data (data, case studies, workflow), Profiling and Efficient Programming (part I) 
  • Day 1, afternoon: Profiling and Efficient Programming (part II), Reproducible Research
  • Day 2, morning: Big Data R memory issues, Parallel and High Performance Computing 
  • Day 2, afternoon: Big Data AnalysesL a case of Machine learning (part I & II)
General information
Target Group The course is aimed at PhD candidates, postdocs, and other academics
Group Size Min. 15 / Max. 25 participants
Course duration 2 days
Language of instruction English
Frequency of recurrence Every 2 years
Number of credits 0.6 ECTS
Lecturers Dr. ing. Maikel Verouden (Biometris, Wageningen Plant Research, Wageningen University & Research), Dr. Sven Warris (Business Unit Bioscience, Wageningen Plant Research, Wageningen University & Research)
Prior knowledge Some experience with the software package R are required. If you are unsure whether your R skill level is sufficient to attend this course, please contact the course coordinator
Location Wageningen University Campus
Options for accommodation Accommodation is not included in the fee of the course, but there are several possibilities in Wageningen. For information on B&B's and hotels in Wageningen please visit proefwageningen.nl. Another option is Short Stay Wageningen. Furthermore Airbnb offers several rooms in the area. Finally, there are a number of groups on Facebook where students announce subrent possibilities and things like that. Examples include: Wageningen Room Subrent, Wageningen Room Sublets, Room Rent Wageningen, and Wageningen Student Plaza. Note that besides the restaurants in Wageningen, there are also options to have dinner on Wageningen Campus.
More information

Dr Sanja Selaković (PE&RC)
Phone: +31 (0) 317 480269 
Email: sanja.selakovic@wur.nl

Registration of interest

At this moment, this course is not scheduled yet. However, if you register your interest in this activity below, we will inform you as soon as the course is scheduled and registration of participation is opened.