R Programming in Data Science: Setup and Start Preview

R Programming in Data Science: Setup and Start

With Mark Niemann-Ross Liked by 1,695 users
Duration: 1h 42m Skill level: Intermediate Released: 4/7/2018

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Course details

R is powerful, but not intuitive. There is a strong and diverse R ecosystem, and data scientists are expected to mix and match from the different versions and packages. Before you can even begin programming, you have to choose, install, and set up R to work for you.

In this course, Mark Niemann-Ross provides a direct and efficient introduction to the many flavors of the R programming language, including base R, tidyverse R, R Open from Microsoft, and Bioconductor R. He also provides a peek at programming with R interactively and via the command line, and introduces some helpful packages for working with SQL, 3D graphics, data, and clusters in R. At the end of this short course, you will have installed a version of R along with a few core libraries and an optimized IDE.

Skills you’ll gain

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Contents

What’s included

  • Practice while you learn 2 exercise files
  • Test your knowledge 6 quizzes
  • Learn on the go Access on tablet and phone
  • Stay up to date Continuing Education Units

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