Interest in the open source R language keeps rising, making it the candidate for TIOBE's programming language of the year.

R Programming for Marketing But one tool that I think marketers can and should get to know more intimately is a growing developer favorite: R programming.

Compare the Python programming language and R to see how they differ and which is better for data science.

Gain the ability to do predictive analysis and determine the relationship between historical data with this guide to using R for SEO.

Course Objectives: To learn practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and ...

Content: The R programming language is used for statistical data analysis and visualisation. R and the R Studio programming environment are a standard tool-set used worldwide for statistical analyses ...

If you want to speed up your R programming workflow, RStudio addins and custom keyboard shortcuts are definitely worth a look. A number of R packages offer add-ins as well as functions, and some ...

But if you grasp the basics and want to learn data visualization fundamentals in R, I recommend Coursera’s guided project, Application of Data Analysis in Business with R Programming.

<p> Programming has become essential for looking at large datasets, and the R language is particularly useful for statistical analysis. With the R Programming Language Compiler app, you can now ...

R is a specialized language, however, and it has limitations. As a general-purpose language, Python has an advantage over R, Khalusova said. Python is more production-friendly, and it's easier to ...