We know that R programming is the leading tool for statistics, machine learning, and Data Analysis Trends. In order to functions, objects, and packages are simply created by R Tool. Also, it will use anywhere and it is platform-independent and free. It will apply to all the operating system.

Why learning R Tool Programming?

• R is one of the open sources, so it is free.
• In order to, R is cross-platform which it is compatible, so it may installed on MAC OSX, Windows, and Linux.
• R Tool Programming offers a wide variety of graphical capabilities and statistical techniques.
• In fact, R offers the possibility to create reproducible research by embedding the script and results in a single file.
• As well as, R is a vast community both in academia and in business.
• R is highly extensible and it has thousands of well-documented extensions for a very broad range of applications in the financial field, health care and so on.
• It is a simple way to create R packages for solving particular issues.

Career in R Programming

An R programming is one of the most in-demand, particularly in emerging startups. Some of the positions which it is available for the R programmers are as follows.

• Data Scientist
• Business Analyst
• Data Analyst
• Data visualization expert
• Quantitative analyst

List of Job Roles in R Tool Programming Language

Data Scientist

The profession of Data Scientist is one of the wide demanding job roles. In this Data Scientist is supposed to extract the data, which its transform it into a structured format, performing the analysis and forecast future insights. R programming is the most ideal tool as it offers efficient data handling capability as well as a robust set of analysis and machine learning tools.

Business Analyst

A Business Analyst has to enhance the solutions that are technical in nature for several business problems. It is required to seeking the solutions, advance the efforts of the company at the same time fulfill the requirements of the business. In fact, R offers several business intelligence tools via its extensive packages.

Data Analyst

A Data Analyst is one of the responsible for extracting and analyzing the data. In this task requires extensive usage of the R’s statistical libraries which its deliver accurate results. So that several companies will make careful data-driven decisions.

Data Visualization Expert

R is most familiar for its visualization libraries. Due to this reason, Data Visualization experts in R Tool Programming are in-demand in many industries. The several packages of R tool such as ggplot2 etc. It provides visually appealing graphs and also plots to their users. Especially, storytelling with data has become the most sought after skills and knowledge.

Quantitative Analyst

Quantitative Analysts will engage in the banking and financial industries. These industries have to deal with entire types of data and R offers an ideal solution to their different data issues. Finally, R programmers who know the breadth and depth of finance are the most sought after the professionals in these industries.

Final Thoughts

In the final analysis, R is the best tool for exploring and investigate the data. At the same time, elaborate analysis such as correlation, clustering, and data reduction are done with R programming. All the major companies are encouraging with their staff to be well acquainted with R programming and are looking for building expertise with it. Finally, the careers in R Programming will more beneficial in today’s world due to its day to day developing its importance.