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

R expert hopes to settle the debate with an analysis of the programming languages that's "fair and helpful".

IBM Data Science Professional Certificate teaches Python, SQL, data visualization, and machine learning with hands-on industry-relevant projects. Google Advance ...

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 ...

<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 ...

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 ...

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

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 ...

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.

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