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 others, C ...

The R programming language is quickly gaining popular ground against the traditional statistics packages such as SPSS, SAS and MATLAB, at least according to one data statistician who teaches the ...

Are you learning the R programming language? Do you want to learn how to do more tasks with R? Check out our Do More With R tutorials below — many with videos shorter than 10 minutes. In the table ...

You might not have ever heard of the programming language R but, if you’re doing data analysis, it might be just the language you need. And this particular book on R is one that is likely to teach you ...

Do you want to improve your R skills? Here are my favorite R language resources for users at any level. [This story is part of Computerworld’s “Beginner’s guide to R.” You’ll find links to the whole ...

In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a ...

R vs Python: What are the main differences? Your email has been sent More people will find their way to Python for data science workloads, but there’s a case to for making R and Python complementary, ...

Java can handle large workloads, and even if it hits limitations, peripheral JVM languages such as Scala and Kotlin can pick up the slack. But in the world of data science, Java isn't always the go-to ...

Predictive analysis refers to the use of historical data and analyzing it using statistics to predict future events. It takes place in seven steps, and these are: defining the project, data collection ...