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DataCamp

Big Data in R

via DataCamp

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Overview

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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.

Syllabus

  • Writing Efficient R Code
    • Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.
  • Visualizing Big Data with Trelliscope in R
    • Learn how to visualize big data in R using ggplot2 and trelliscopejs.
  • Scalable Data Processing in R
    • Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.
  • Introduction to Spark with sparklyr in R
    • Learn how to run big data analysis using Spark and the sparklyr package in R, and explore Spark MLIb in just 4 hours.

Taught by

Michael Kane, Simon Urbanek, Colin Gillespie, Richie Cotton, and Ryan Hafen

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