R is a programming language that provides a platform for statistical and mathematical computing. John Chambers, along with a group of colleagues, created the language at Bell Laboratories. 

R is often considered to have been a more recent implementation of S, a data science language. R allows you to do statistical analysis on data sets using time-series analysis and classification. The R programming language was developed with design in mind. The features that you need to analyze data should be easily accessible and used.

Why Should You Learn R Language?

R's steep learning curve is unique among other languages like Java and Python. Don't let this discourage you from learning R code. Here are the main reasons for which you should learn the R programming language.

R is designed for data science

Unlike Python, R was specifically designed to support data analysis and mathematical calculations. Data scientists all over the globe use R, and for good reason. 

R has almost all of the features that data scientists require, according to O'Reilly Media's 2014 survey. R is the most used programming language by data science professionals.

R allows you to run data science calculations with no compiler. This makes it easier to develop code. R is also a statistical language so you can easily convert statistical models to code with R.

R has a supportive developer community

Data science has seen a significant increase in importance as data has become an increasingly important part the tech industry. StackOverflow reports that R is the most popular programming language in the world. This shows just how widespread the technology is.

R is so well-known that it's easy for other developers to assist you with your problems. It is well-documented. You should not have any trouble finding a solution on sites such as StackOverflow.

R is used in industry

R is more than a language for data analysis by hobbyists. It is also the language that the major players in the industry use. R is used to perform machine learning, statistical programming and business analytics.

Facebook, for example, uses R to analyze status updates and conduct behavior analysis. Google uses R for measuring the effectiveness of its advertising campaigns.

Microsoft purchased the Revolution R company, and uses R throughout its business. Mozilla, Merck and TechCrunch are just some of the many companies that use R.

According to Indeed.com, there were 4,072 jobs available in the United States as of May 4 for the query "R Data Scientist". These jobs will not likely include R-related roles, as R skills are crucial for data science positions.

 

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What can R be used for?

R is a programming language that can be used to program graphics and statistical programming. It is used to analyze large quantities of data, find trends, and visualize the data. R can be used in many settings, including technology and healthcare.

R offers a variety of tools to share data, in addition to making statistical calculations easy. R makes it easy to export data into graphical formats that help explain a dataset.

R is a powerful tool in the industry. According to StackOverflow, Academia is the most influential setting for R. Healthcare industry closely follows this trend. The healthcare industry, as well as the consulting and insurance industries, heavily uses R.

What is the average time it takes to learn R?

If you devote an hour per day to your studies, it takes approximately one month to learn the basics. You will need to spend at most six months learning R if you plan to use it in a professional setting.

It's difficult to predict how long it will take to learn R, just like any other programming language. R is quite different than other programming languages. Although a technical background is helpful, many programmers will not be familiar with basic concepts.

There are many packages that can be extended upon R. These packages can be used in specific contexts. Some of the larger packages can take you months to learn how to use.

Conclusion

R has been a popular programming language in the data science and analyst community over the past few years. You can unlock career opportunities by learning how to code in R. You will be able to use R to gain a new set of skills for data analysis. It will also help you develop the mindset that data can be used to solve problems in your daily life.

It's obvious that R can be difficult to learn and the syntax can be confusing for even experienced programmers. You may also find that R is always changing so it's important to revisit the basics and learn them again. Programming languages are constantly evolving, but that's part of the job. Hopefully, after reading this blog, you now understand why you should learn the R programming language.