What is the future of R Programming Language for Data science?
R has gained popularity as a language to build analytical tools. As per the current stats, R has an active community of over 1.5 million developers. R was not what it looks like now. Massive support from the rapidly growing community added to its objects, operators, functions and library.
As an open source programming language, R is a completely out there to handle the big data revolution.
Big Data jobs are expected to soar up 28% by 2020. But is the development world ready to handle these projects? R programmers are in high demand and looking at the prospect’s industry is read to onboard the experienced and trained R-Programmers.
The industry is ready to offer R programmers a salary packaged in the range of INR 495, 000 to INR 1,552,127 clearly indicating the rising demand for R programming resources.
Business need R
With the business having lots of data, they are highly focused on extracting deep insights from it. They need data scientist and analysts to make this data useful. As a critical process, Data analytics needs a scalable programming language and R offers all that is required to expedite the Data analytical process faster.
What roles does the industry offer to R programmers?
R is required for data analytics and that is how it open multiple industry doors for R programmers. Apart from being limited to IT industry, Financial institutions, enterprises, health care centers and banks are looking to hire a team of R programmers for in-house customized solution development.
In the IT industry, the roles of an R programmer and his salary scale varies as per his roles. If you are eager to join the R programming world let us understand what the industries have to offer you.
1) Role of Data Analyst
A Data Analyst uses his analytical skills to process the huge amount of data. Learning R becomes a part of his role as it can help him make the developers understand how they can implement the statistical logic in R.
A Data analyst must be well-versed with Excel, data visualization and must have good knowledge of stats and mathematics.
2) Role of Data Architect
Once the data is analyzed, the industries need to do something with the data so that it can be used to grow the business. The Data architects help determine the data warehousing solutions and best ways to design the database architecture. He will stay up close with the Business intelligent tools and assist with data modeling.
3) Role of Database Administrator
Once a database is maintained, it needs to be accessible to every department. The Database Administrator makes sure the data is backed up and can be recovered in case of any mishap. He is completely responsible for data security too.
R offers an edge in data statistics and visualization making it a right choice for many programmers as we are witnessing a big wave of new opportunities with Big data becoming a prominent part of every industry.
Leave a Reply