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title: 'R for Data Science: Lunchbreak Lessons'
message: >-
  If you use this software, please cite it using the
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type: software
authors:
  - name-particle: Mark
    email: mark@niemannross.com
    family-names: Niemann-Ross
    orcid: 'https://orcid.org/0000-0002-3381-4604'
identifiers:
  - type: url
    value: 'https://linkedin-learning.pxf.io/r_lunchbreak'
    description: >-
      Lunch Break Lessons teaches R in short lessons
      that expand on what existing programmers
      already know.
url: 'https://linkedin-learning.pxf.io/r_lunchbreak'
abstract: >-
  Programming is learned in small bits. You build on
  basic concepts. You transfer the knowledge you
  already have to the next language. Lunch Break
  Lessons teaches R—one of the most popular
  programming languages for data analysis and
  reporting—in short lessons that expand on what
  existing programmers already know.


  The five minutes you spend each week will provide
  you with a building block you can use in the next
  two hours at work. Review language basics, discover
  methods to improve existing R code, explore new and
  interesting features, and learn about useful
  development tools and libraries that will make your
  time programming with R that much more productive.
keywords:
  - R
  - LinkedIn Learning