Don’t just sit there! Start getting more R programming

There is a countless number of programming languages and we know a few of them like C, C++, Java, Python and more. Another type of programming language is R programming. It is gaining a lot of popularity among software developers. To know what is the actual benefit of it, everyone should know what is R programming?

What is R programming?

Basically, R is a programming language and environment mainly used in statistical computing, data analytics, and scientific research. It is very prevalent nowadays and used by statisticians, data analysts, researchers, and marketers to retrieve, clean, analyze, visualize and present data. Its popularity has grown in recent years due to its expressive syntax and an easy-to-use interface.
When we say it has an easy-to-use interface and an expressive syntax, the question might arise; is it easy to learn?
The answer to the aforesaid question is yes, R is simple enough to learn as we proceed. All a person needs is data and a clear aim to come to a conclusion based on the analysis of the data.
Did you know? R is built on top of a language called “S programming” whose original intent was to help students learn to program while having fun with data. In R, one will not find a lot of logical conditions while writing the code.

What are the applications of R programming in the Real World?

1) Data Science:

: It’s a field that has no other way but to go up, with the arrival of IoT devices which create terabytes of data, data science can be used to make better decisions. R programming is a real asset to a data scientist, programming languages like R give a data scientist superpowers that allow them to collect data in real-time, perform statistical and predictive analysis, create visualizations and communicate actionable results to stakeholders.

2) Statistical computing:

: Among statisticians’ R is the most popular programming language. As a matter of fact, R was initially developed for statisticians by statisticians. R has more than 9100 packages with every statistical function ever created. Its expressive syntax allows researchers of even non-computer backgrounds to swiftly import, clean and analyze data from a variety of sources. Another characteristic of R is that it has charting capabilities, which means you can plot your data and create interesting visualizations from any dataset.

3) Machine Learning

: It has been found that R has a lot of use in predictive analytics and machine learning, it has various packages for common machine learning tasks like linear and non-linear regression, decision trees, linear and non-linear classification and many more. Everyone from machine learning enthusiasts to researchers use R to implement machine learning algorithms in fields like finance, genetics research, retail, marketing, and health care.

Scope of R programming in India

Don’t be so perplexed about the scope of R programming. It is acquiring a lot of market place as time is passing. R is like a superpower to have if you're interested in having a career in data science . So, we can assume a remarkably high scope of R programming in the future. One can easily expect good growth while working with R programming. It is also recommended in India to learn the essentials of R programming. I hope this helped in the betterment of your understanding of machine learning.

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