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.

Scope:

• Big Data (data, case studies, workflow), Profiling and Efficient Programming
• Big Data R memory issues, Parallel and High Performance Computing, a case of Machine learning.