Overview Python continues to dominate as the most popular coding language for AI development.Emerging AI development languages like Julia and R are gaining trac ...

Tiobe now places R in 21st position and suggests the language isn't benefiting as much as Python from the boom in data science and machine learning. Both languages have become popular among data ...

Developers who want to push ahead in their profession will want to choose a programming language that appeals to them and paves the way for a promising career. That’s why it’s always advisable ...

Cons R may not be as suitable for general-purpose programming beyond statistical computing. It may not have the same level of industry-wide adoption as other languages.

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 ...

For those who are learning R programming for the first time, here are a few resources that makes managing R-based results easier with a capital “E”. Graphic User Interfaces ...

R Programming Language Compiler November 30, 2017 December 1, 2017 (Vol. 37, No. 21) URL: ...

If you’re considering moving to a role in statistical programming, now is the time to invest in your skills, expand your knowledge beyond SAS and embrace the power of R, Python, AI and ML.

A second reason that marketers can benefit from R programming is that it comes with a trial data set. Users can type ‘data ( )’ into the terminal to load a file of data tables.