Skill Track

Big Data with R

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.

R
20 hours
5 courses

Writing Efficient R Code

Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

4 hours

Visualizing Big Data with Trelliscope in R

Learn how to visualize big data in R using ggplot2 and trelliscopejs.

4 hours

Scalable Data Processing in R

Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.

4 hours

Instructors

Colin Gillespie

Assoc Prof at Newcastle University, Consultant at Jumping Rivers

Ryan Hafen

Author of TrelliscopeJS

Michael Kane

Assistant Professor at Yale University

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