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R Programming for Beginners

Learn R development from ground up
  •   Lectures: 26
  • |
  •   Videos: 4 hours
  • |
  •   Level: All
  • |
  •   Language: English
  • |
  •   Last Updated: 06/2018
Includes: 30 day money back guarantee! Lifetime Access. No Limits! Certificate of Completion
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What it includes?
  • 30 day money back guarantee!
  • Lifetime Access. No Limits!
  • Certificate of Completion
Last Updated: 06/2018
Languages: English
Level: All level
Video: 4 hours
Lectures: 26
4.5 (239 reviews)
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The power of data is growing and data analysis has become an extremely important task in todays data-run world! R programming language is one of the best languages to not only control but also harness the copious amounts of data into providing you the information you need.

R Programming language is a powerful language for statistical computing and graphics. It is popularly used among statisticians and data miners for developing statistical software and performing data analysis. The versatile language is free under the GNU General Public License and was developed on the S Language and environment which was developed at Bell Laboratories.

If you want to harness the power of data and become a master data analyst, but dont know where to start - well then this the perfect course for you!

We have designed a back to basics course for R Programming Language, where we will breakdown the language into its core components to help make it easier to learn. The course will help you learn what is R Programming Language, the benefits of R, the syntax of the language and also how to write programs using this language.

The course has been designed for newbies, as well as intermediate students who want to go back to the basics and learn something new. The course focuses on the core aspects of R programming language and how it can be used to work with data.

What you will learn in this course:

  • Getting started with R
  • Look and Feel of R
  • Installation for R
  • Variables and Packages
  • Data Sets
  • Charts and Statistics for one variable
  • Working with Data including how to analyze the data
  • Charts for Associations
  • Statistics for Association

The course does not simply focus on the theory, but also on how to actually work with data by showing you the step-by-step process and helping you build your own experimental programs. These will also help you get some insight into how you can actually write programs using R and how you can analyze data sets to create graphical representations of the data that you have.

At the end of this course, you will have the knowledge as well as the confidence to start working on analyzing large data sets and turning them into data that makes sense.

So, what are you waiting for? Enroll now and master data with this R basics course!

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