Learn how to use R for statistical programming, data analysis, and visualization in data science. Discover the benefits and challenges of using R, and how to improve your R skills.

R provides powerful tools for manipulating data, including functions for importing, cleaning, and transforming datasets. You can read data from various file formats such as CSV, Excel, and SQL ...

R is a high-level statistical language and is widely used among statisticians and data miners to develop analytical applications. Often, data analysis people with great analytical skills lack solid ...

R Programming: Johns Hopkins University . Offered by Johns Hopkins University, this intermediate level course teaches how to use R for effective data analysis and is available on Coursera. One will ...

How best to manage data using R programming. While the analytics world is being transformed by the EU’s General Data Protection Regulation, marketers are discovering a potential new solution to ...

For those who might be wondering, the programming language was created by Ross Ihaka and Robert Gentleman in 1993. Furthermore, note that most of the R libraries are written using R, but for ...

Programming experience: While prior programming experience can be beneficial, it is not strictly necessary to learn R. Beginners can start with basic statistical concepts and gradually build their ...

Efficient R Programming. This is a beginner-friendly book that covers how to write efficient R code. The book provides various techniques to write better code and also teaches how to determine the ...

Learn how to use R for statistical programming, data analysis, and visualization in data science. Discover the benefits and challenges of using R, and how to improve your R skills.