Subscribe to DSC Newsletter

Your Step-By-Step Guide To Learning R Programming.

Do you want to learn R Programming?

Do you get overwhelmed by complicated lingo and want a guide that is easy to follow, detailed and written to make the process enjoyable? 

If so, “R: Easy R Programming for Beginners - Your Step-By-Step Guide To Learning R Programming” by Felix Alvaro is THE book for you! 

It covers the most essential topics you must learn to begin programming with R.

With more than two million global users, the R language is rapidly turning into a top programming language specifically in the space of data science as well as statistics. What you are going to learn in this step-by-step beginner’s guide is how to master the fundamentals of such a gorgeous open-source programming language which includes vectors, data frames and lists.

Not only is the language growing in popularity, but the demand for R Programmers is also rising, with skilled programmers getting paid an average annual salary of $115,000 per year!

What Separates This Book From The Rest?

What separates this book from all the others out there is the approach to teaching. A lot of the books you will stumble upon simply throw information at you, leaving you confused and stuck.

We believe that books of this nature should be easy to grasp and written in jargon-free English you can understand, making you feel confident and allowing you to grasp each topic with ease.

To help you achieve this, the guide has been crafted in a step-by-step manner which we feel is the best way for you to learn a new subject, one step at a time. It also includes various images to give you assurance you are going in the right direction, as well as having exercises where you can proudly practice your newly attained skills.

You Will Learn The Following:

  • The history of R programming and its benefits 
  • How to install R & R Studio and work with code editors
  • The fundamentals of R syntax 
  • Function & Arguments 
  • R Programming with user packages 
  • Organizing data in Vectors 
  • Working with Data-Frames and Matrices 
  • Creating Lists 
  • Effective coding in R 
  • Controlling Logical Flow 
  • Woking with base graphics 
  • Creating Facetted graphics using Lattice 
  • And much more!

Find the book, here.

DSC Resources

Additional Reading

Follow us on Twitter: @DataScienceCtrl | @AnalyticBridge

Views: 276

Follow Us

On Data Science Central

On DataViz

On Hadoop

© 2017   AnalyticBridge.com is a subsidiary and dedicated channel of Data Science Central LLC   Powered by

Badges  |  Report an Issue  |  Terms of Service