Lets see why one should learn R Programming language?
R Programming language was developed for statistical computing and for the long time it has been used by statisticians around the world. R programming language is used to analyze data using various mathematical calculations.
There are around 5000 packages available in R programming language which is used for statistical analysis, machine learning and predictions.
R programming language is mathematical programming language which comes with many libraries for data visualization in chart and graph formats. Developers can used these packages for analyzing data and then presenting in nice pictorial graphs, charts and other visualization components.
Why should we learn R programming?
Here are reasons to learn R Programming language:
R Programming language is very popular programming language for analyzing data and understanding it. Business around the world are using R Programming language for various types of calculation and visualization of data
R Programming language is top in IT industry and changes of getting good job is very high if you know R Programming language
R Programming language comes with 5000 libraries for different types of calculations and machine learning. So, in most of the cases you will easily find package to solve your business problem.
R Programming language can run on Spark Cluster which makes its very powerful tool for data analysis in Big Data environment over distributed processing cluster.
R is open source and free programming language which you can use for data analysis.
R Programming language is cross-platform compatible programming and you can run it on almost all the operating system including Windows, Mac OSX, Linux, Solaris, FreeBSD etc..
R Programming language is most advanced statistical programming language and mathematical computing engine which comes with more than 5000 libraries.
Check tutorials at: R Programming Tutorial - Learn and master R Programming.