Why R for Data Science?

R for data science focuses on the language's statistical and graphical uses. When you learn R for data science, you'll learn how to use the language to perform statistical analyses and develop data visualizations. R's statistical functions also make it easy to clean, import and analyze data.

Is R necessary for data science?

In-depth knowledge of at least one of these analytical tools, for data science R is generally preferred. R is specifically designed for data science needs. ... In fact, 43 percent of data scientists are using R to solve statistical problems. However, R has a steep learning curve.

Why is R useful for data analysis?

R is an open source software and it is the language of statisticians and Data analysts. ... Particularly useful for Data analysis as it contains a number of built-in easy to use commands for organizing data and creating both numerical and graphical summaries of data.