What is the eligibility & admission process for R Programming? What are the benefits of pursuing the same?
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3 Answers
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Hello,
In the IT world, there is an excessive demand of those programmers who are expert in the field of R programming. There is no specific eligibility criteria or any prerequisite to learn R programming at all. This is the easiest computer language. If you are smart enough, then you can even learn this language while just reading books and watching the tutorials on YouTube.
This programming is in high demand, because R language can handle the enormous amount of business data. It is very much possible that system may get out of order, because of storage incapacity. R programming can easily solve this problem, because this language can...more -
1) In-depth Statistical Analysis: Given that R was developed by and for statisticians, it's no surprise that R is ideally suited to in-depth statistical analysis, whether you're working with sensor data from an IOT device or elaborate financial models.
2) High-Quality Reporting: Well-produced images convey more than numbers alone, and R places a great emphasis on easily producing high-quality graphs and charts. On top of that, its basic capabilities can be extended with a number of packages, including ggplot2, ggvis, googleVis, and rCharts. The framework also allows to turn visuals into interactive web applications. -
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NITIN DESHMUKH Yard by yard its hard, but inch by inch its | Scholar-Level 17
6 years agoWith the basic knowledge of programming, one can easily get some hands-on R- Programming. Otherwise, you can learn gradually once you start coding. R is a very easy programming language and one can easily expertise in that language. R programming language is deployed for varied purposes like graphics representation, statistical analysis, and reporting. With this online R Programming & data analysis training, you will be able to get a clear understanding of the core concepts, import data in various formats for statistical computing, data manipulation, business analytics, machine learning algorithms and data visualization. There are a nu...more
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