Learn how to merge data in R 3 ways: base R, dplyr, and data.table and never forget syntax to pivot wider and pivot longer. If you’re a tidyverse user, there’s plenty here on tidyr and dplyr.

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 ...

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.

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 ...

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 ...

Statistical programming language R has climbed back up to 8th place in Tiobe's latest programming language popularity index, just behind JavaScript and up from 20th position last July.

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.

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.