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
1
R Icon

Writing Efficient R Code

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

4 hours
Colin Gillespie

Assoc Prof at Newcastle University, Consultant at Jumping Rivers

3
R Icon

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
Michael Kane

Assistant Professor at Yale University

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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