R as a programming language is the choicest language for data scientists and statisticians. If you have a R training, the next step is to make a career out of it. Incase you are planning to start a R training, you may wonder what career prospects are available for you after this. Putting rest to all your queries is this article where we will go over the primary reasons why R training can make you a game changer and also the possible career options.
R and Business Analytics
Most business analytics companies opt for paid tools like SAS, SPSS (IBM) and Statistica. While these tools can be pretty expensive, the ultimate result makes the investment worth for businesses. The programming language R has been derived from S which is another programming language credited to a group of dedicated practitioners. Over the time, the team expanded, and R became available to the masses.
R is definitely not the only open-source analytics tool that is available for businesses. There are many others like Weka and others. However, these tools faltered when businesses looked at scalability. Out of all these tools, only R gave the scope to handle large data sets, putting rest to scalability issues for companies.
The popularity of R kept on increasing with time, as more and more businesses started benefiting from this tool. Currently, R is not just a popular free open source tool, but is actually the most popular analytics tool, with a user range of over 2 million.
Why are data scientists opting for R training?
We’ve gone over the reasons why businesses are adopting R analytics tools. Now, here’s why numerous data scientists are enrolling for R training courses.
- R is free and open source
- It is a cross-platform compatible tool, and can run on multiple OS and hardware/software.
- R is touted as the most advanced statistical language in the data world. R has its roots in computational statistics and computer language, making it advanced enough to simplify complex data sets.
- R has high-end graphical inputs that no other statistical language can provide.
- R analytics language is flexible. It can be fully programmed to develop unique apps, do code enhancements, create LaTex tables, and more.
- While being flexible, R is equally comprehensive. It offers around 4,800 packages from several repositories related to data mining, econometrics, spatial analysis, and informatics.
- R supports multiple extensions in its structure, like vectors, scales, frames, data, time series, lists, etc.
- A vast community is an added advantage in R.
R training can make you a game changer
The sole reason why R training can make you a game changer in the present job world is because more and more businesses are adopting R. The corporate adoption has soared high in the present times. Once corporates were hesitant to use free open source analytics tools fo data analysis. But that scenario has changed as corporates like Facebook, Google, Accenture, Genpact, and other such brands have started adopting the R platform.
This makes your R training more valuable, posing you as a useful resource to any such corporates. Whether you are a just starting off or is an experienced individual, R training will give you the much-needed edge in your analytics career.
Companies are scouting for people who have R training, and are steadily encouraging their employees to start building their expertise in R. The shortage of R professionals is undoubtedly a sign why you should get your R training started, or if you have completed, it is time to start leveraging your knowledge.
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