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You might have come across the term “R programming” quite a few times and numerous questions would have popped into your head. Is it just another programming language? How is it different from other programming languages? What is the future of it? How much will I earn if I know this language? All your queries will be answered in this blog, which gives you the top 10 reasons to learn R Programming.
These are the reasons, which make R Programming such an in-demand skill:
R is a free, open source software. Its plug and play, install R once and start having fun with it. What more? You can even modify the code and add your own innovations to it. R language has no license restrictions as it is issued under the GNU (General Public License).
One of the biggest advantages of R is that you can run R on several operating systems and varied Software/Hardware. R will run seamlessly irrespective of whether you are working on a Linux based, Mac or a Windows system.
So, if you’re working on a Windows system and your client is working on a Linux system, don’t worry, your R code will definitely run on his system!
Let’s say you are working on a financial project to find out how many of the credit card transactions are fraudulent and reach a roadblock while building the classification model. Thankfully, R boasts of a huge community to tap into whenever you need help. So, you can always seek help from people who have worked on similar projects. You can also collaborate with others to share ideas, work on projects and compete in Data Science contests.
R provides more than 10,000 packages and lakhs of inbuilt functions catering to diverse needs. There are packages for Data Manipulation, Data Visualization, Machine Learning, Statistical Modeling, Imputation and a whole lot of other packages to play around with. So, whatever your need is, R springs up a package from its hat to help you out.
Since R is open source, you can create your own package and contribute to the community.
R provides packages such as ggplot2, ggvis and plotly to create stunning visualizations. These packages help in creating print-quality graphs which can be published in any international magazine.
The below graph is a scatter-plot made with the help of plotly.
This is a bar-plot created with ggplot2
Ever wondered if there is a tool which helps in creating stunning web applications directly from your data analysis software?
You can create a shiny web app and host it on any cloud service such as AWS.
R is used by the top companies:
R is a statistical software created by statisticians for statisticians. From finding simple measures of central tendency to building complex statistical models, R is the go-to language for any type of statistical analysis.
Fitting a linear model with R:
Fitting a bell-curve with R:
In a Survey done by Dice Tech of over 17,000 technology professionals, the highest-paid IT skill was R programming. R language skills attract median salaries in excess of $110,000.
With R language as a skill-set, one can find jobs such as:
Hoping that this blog will get you started in learning R. You can check out the R Certification Training by Edureka, a trusted online learning company with a network of more than 250,000 satisfied learners spread across the globe. Edureka’s Data Analytics with R training will help you gain expertise in R Programming, Data Manipulation, Exploratory Data Analysis, Data Visualization, Data Mining, Regression, Sentiment Analysis and using RStudio for real life case studies on Retail, Social Media.