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

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

See all instructors

Ready To Learn?

Join 5,260,000 data science learners today!

Maximize Your Team’s Talent

Join 100s of businesses and create a culture of data at your company!