R has great ways to handle working with big data including programming in parallel and interfacing with Spark. In this track, you'll learn how to write scalable and efficient R code and ways to visualize it too.
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Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.
Learn how to visualize big data in R using ggplot2 and trelliscopejs.
Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.
Instructors
Assoc Prof at Newcastle University, Consultant at Jumping Rivers
Author of TrelliscopeJS
Assistant Professor at Yale University
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