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What is R Language and Why R is important for Data Science?

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R is a programming language and an analytics tool that was developed in 1993 by Robert Gentleman and Ross Ihaka at the University of Auckland, Auckland, New Zealand. 

It combines both software programming and data analytics in one environment.

It is widely used by Software Programmers, Statisticians, Data Scientists, and Data Miners. It is one of the most popular analytics tool used in Data Analytics and Business Analytics. 

  • It is an open-source language
  • It is also a cross-platform compatible language
  • It is a great visualization tool
  • It is used for data science and machine learning. 

As far as Machine Learning is considered with the help of R language, you can implement various machine learning algorithms such as Linear Regression, Decision Tree and Naïve Bayes. 

According to the O’Reilly Data Scientist Survey, the average salary for R skills is around $115,000. With R skills, you have an opportunity to apply for different job roles such as:

  • Statistical Analyst
  • Data Analyst
  • Data Scientist
  • Machine Learning Engineer

R is a programming environment specifically designed for data analysis that is very popular in the data science community. You’ll need to understand R if you want to make it far in your data science career.

To get started with the world of R programming, check out the following tutorial

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