Different Reasons to Learn R for Data Science

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R is a clear and accessible programming tool. R Language is more than a Statistics Application. R is easy to learn. There are numerous online community help available and even organizations providing high quality online courses.

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Different Reasons to Learn R for Data Science:

Different Reasons to Learn R for Data Science

What is R:

What is R R is a clear and accessible programming tool It is made up of a collection of libraries designed specifically for data science It provides a wide array of tools to capture the right model for your data

Reasons to Learn R for Data Science:

Reasons to Learn R for Data Science Advantage from full documentation and support Makes you appealing to employers R Language is more than a Statistics Application

Advantage from full documentation and support :

Advantage from full documentation and support Online resources for R with message boards are well sustained and documented. Numerous professional R developers keenly participate in online discussions of the tools and packages they have designed and developed

Makes you appealing to employers :

Makes you appealing to employers Employers see R as an essentially useful and valued skill Many employers comprehend that if they hire people who can use R, they can save millions by not having to purchase copyrighted statistics packages.

R Language is more than a Statistics Application :

R Language is more than a Statistics Application R is not merely a statistical tool but a whole package of what an object focused programming language can do. Modern developments in statistics are in the kind of R packages before they appear as commercial solutions.

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