Career in R Programming

Introduction to R Programming Language

R Programming, although developed in the 1990s, is relatively new compared to other hardcore programming languages. However, still, it is taking the corporate world and private industries by storm due to its unique nature. Being open-sourced and adaptive in nature, it is not only free but also cohesive in nature with other languages like Python and Hadoop and others. With the changing and advancing nature of the computer age, it is becoming more digitized, involving more and more accumulation and increment of data and information of all types.

Thus, R programming, with its unique nature of Statistical analysis and data mining and manipulation, has become the go-to software-based programming language for a lot of different industries and the experts in handling this language are the crème de la crème of the developer’s leagues. Below we discuss the Career in R Programming. It is as lucrative as a high-income and profitable career opportunity for anybody.

What is Programming Language?

A programming language is like any other language, which is the means of communication. Just like other languages, they are formed, followed by a set of instructions, unique rules, and formulations, thus making them meaningful for communications; similarly, a programming language is a machine language or, in simple terms, the language used by computers. Unlike humans, computers understand only binary terms, like strings of 0s and 1s. Programming languages use these 0s and 1s and translate them into something human-friendly or a form that humans can understand. It also uses a set of instructions, directions, and regulations to perform and execute algorithms and various different sets of tasks quickly and precisely, reducing human effort.

Some famous Programming languages are:

• C Programming
• C
• Java
• Javascript
• Python and etc.

Skills Needed to learn R Programming Language

As already explained earlier, the R programming language revolves around handling a huge amount of data and information in various forms, like numerical symbols, words, formulas, signs, designs, pictures, videos, and graphs of any kind. These data and information are most of the time unstructured, disorganized and un-meaningful in nature. R programming used a wide variety of advanced techniques such as machine learning algorithms, linear regression, and classical statistical tests to analyze and survey this information and data involving a series of steps like programming, transforming, and revealing more meaningful and user-friendly results.

To perform such unique statistical analysis and data mining tasks, a person needs to be equipped with certain prerequisites.

• One should have a solid background, at least a good understanding of statistics in mathematics.
• Knowledge of statistical theories beforehand to perform statistical analysis tasks is necessary.
• It’s essential to have a strong mathematical aptitude when working with charts, graphs, and calculations.
• Also, proper knowledge and understanding of other programming languages are needed, at least a few of them. R programming revolves around involving other languages like Python and Hadoop because of its versatile nature to perform unique and sophisticated tasks all the time.

Career Paths in R Programming

Below we discuss several different career paths in R Programming:

Firstly, as this is a relatively new field of software-based programming language, the question arises of how beneficial and profitable a career path can be. A most important question arises, is it a good path for freshers? If so, then how to get hired, or is it another field for only the experienced? Who hired R programmers anyway?

Although, due to the light pace advance of the modern world and more and more increase of digital platforms, new and old, small and big companies are becoming heavily dependent on software-based programming languages which can handle their huge amount of data which is increasing tenfold day by day thus increasing the demand for R programming and also due to its high nature of versatility and open-source nature.

So, professionals involved in this path have several different career paths and job roles as opportunities, such as:

• Data Scientist
• Data Analyst
• Business Analyst
• Data Visualization Expert
• Database Administrator and
• Statisticians and others

These are the few job roles and opportunities for R Programming professionals and experts in the vast and lucrative career paths as an R programming Expert. Some of the industries which are in heavy demand of R Programmer are:

• Financial Institutions
• Banks
• Manufacturing Companies
• Medical Fields and Organizations
• Academics
• Governmental Sectors

How much would you Earn?

Mostly it depends upon the job role and experience. For freshers, it is hard to get an opportunity, but for experienced personnel, it is quite profitable and lucrative. As said, it depends upon the role and experiences. A Data Analyst with around 1-4 years of experience in the field can expect to earn around 2.9 lakhs p.a. to around 5.00 lakh p.a., and for R developers with over 5 years of experience, the salary earning could go as high as 10 to 13 p.a. in India. For the global market, it tends to be a little higher or much higher due to the currency weight age differences, but the scale and valuation are almost the same.

Conclusion

What can be surmised after the above discussions is that, Career opportunity in R Programming is totally dependent on the market demand and capability of a particular individual as an R Programmer. There are several paths and job types for R programming due to its uniqueness and versatility, but still, it depends upon the current market trends and demands. Although the current market trends and demands seem to be high thus, making this is an ideal opportunity to have a high-remunerative and productive career path, as previously discussed in the “How much would you earn?” section above.

Recommended Articles

This is a guide to a Career in R Programming. Here we discuss the introduction to R Programming Language, different Career Paths, What it is Programming Language, and the skills needed to learn R Programming Language. You can also go through our other suggested articles to learn more –

1. What is R Programming Language?
2. R Operators
3. R Studio Functions
4. R Data Types