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Lynda - R Programming in Data Science: Setup and Start

Lynda - R Programming in Data Science: Setup and Start

Lynda Programming Science: Setup Start
Lynda - R Programming in Data Science: Setup and Start

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

Topics include
Installing R on Windows, Macintosh, and Linux
Choosing a development environment
Installing useful libraries
Using R at the command line

Video: MP4 | h264, 1280x720
Audio: AAC, 48 KHz, 2 Ch
Language: English
Subtitles: English included
Level: Intermediate
Created By: Mark Niemann-Ross
Creation Date: 7-4-2018
Duration: 1h 42m
Size: 264 MB
Course Page
Download one link
http://frd.li/e4993dbd9a130debf71a8bde5ea76593 https://cdn7.git.ir/1397/01-18/Lynda%20R%20Programming%20in%20Data%20Science%20Setup%20and%20Start_git.ir.rar

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Lynda - R Programming in Data Science: Setup and Start
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