Extra Fundamentals of R

Online Course

Udemy
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Extra Fundamentals of R
  1. What is the course about?
  2. Prerequisites & Facts
  3. Cost, Certificate & Degree
  4. Reviews & Experiences

What is the course about?

Extra Fundamentals of R
The course Extra Fundamentals of R is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

Understanding R graphics, how to set up “real-world” simulations, and how to process non-numeric character and text in R

Course description
  • Extra Fundamentals of R
  • Understand and use the base, lattice and ggplot graphics systems in R.
  • Be able to simulate many ‘real-world’ and practical “what-if” scenarios to determine likely outcomes.
  • Have a though understanding of, and ability to effectively use, the text and string variable processing capabilities in R.
  • Know how to use and implement R’s text-based “regular expression” features and functions.
  • Students will need to install the no-cost R console and the no-cost RStudio application (instructions and provided).
  • 12.5 hours on-demand video
  • 9 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Geoffrey Hubona, Ph.D.
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Prerequisites & Facts

Extra Fundamentals of R

Course Topic

Automation, Business, Home Business

University, College, Institution

Udemy

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Extra Fundamentals of R

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
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Extra Fundamentals of R
provided by Udemy
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Reviews

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School: Udemy
Topic: Data Science, Development, R

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