Big Data in R

Обновлено 03.2026

Work with big data in R via parallel programming, interfacing with Spark, writing scalable & efficient R code, and learn ways to visualize big data.

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Описание трека

Big Data in 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.

Предварительные требования

Для участия в этом курсе никаких предварительных требований нет.

Course
1
Writing Efficient R Code
Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.
Course
2
Visualizing Big Data with Trelliscope in R
Learn how to visualize big data in R using ggplot2 and trelliscopejs.
Course
3
Scalable Data Processing in R
Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.
Course
4
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.