Analysing huge chunks of data at effective speed and sieving only the important information has become the way of life. There are several programming languages to work on analysing data like SAS, Python and R. Each has their own merits and demerits but in recent times, it is R programming language that has gained massive popularity specifically as a language to work on data science projects. Developed almost three decades ago R, an open source programming language, is being used extensively.
What Makes It Popular?
R, one of the most comprehensive statistical analytic package, amalgamating all standard statistical and graphical tools. It is one of the pioneering programming languages available in the market. One of the outstanding features of R that makes it stand apart from other technologies is its graphical features. R has become class apart because unlike SAS, it is free and without any sort of licensing restrictions, thus allowing everyone ready access. It runs on cross platform, thereby enabling users to run it on various operating systems like Microsoft, Windows and the various other OS’s available in the market. With the help of its vast communities you solve any queries, from an amateur programming problem to one that is now being adopted by top corporations.
Excellent R analytics training is available in both online and offline modes. Various organisations are providing with comprehensive training materials and industry exposures that help you to get familiar with the R environment.
R has a stronghold in various industries
R programming is being using to
- Enhance performance and productivity.
- For technical support, training, consulting.
- And finally it’s most important function of big data analysis.
R has found its way into the working of companies like Facebook, Google, Ford Motors, banking sector et cetera. Facebook uses R to analyse status updates of individuals and also to predict colleague interaction.
R in Banking
The banking sector uses R because of its flexibility to adapt to new models and generate predictions and summaries of changing customer databases and needs. The manufacturing industry makes extensive use of R for predictive analysis which helps to optimise efficiency and reduce unforeseen risks.
So, with so many avenues available, jobs are in plenty, thus making a career in R is easy and lucrative. All you need is to get yourself enroll into a data analytics training course and you are off to a flying start. R has emerged as the first choice for all organisations across different sectors and the demand for trained R professionals is high thereby providing ample opportunities. With surveys hinting that 70% professionals use R and having an annual salary ranging anywhere between 4-20 lakh per annum, so all you need to be part of such lucrative role is to get an R analytics training.