There are many other other high-quality and free resources on creating elegant graphics, advanced R practices, and creating R packages for reproducible code. You can also check out this open source R for Data Science book by Hadley Wickham (chief scientist at Posit) and Garrett Grolemund (data scientist at Posit). Julia Silge, a developer at Posit, has a popular YouTube channel that features her live coding walkthroughs using R and RStudio. In fact, R not only has a reputation as being an easier programming language to learn than Python, but it is beloved for its tight knit and active user community.

If you’re a complete beginner to R, there are plenty of amazing and free resources online to learn from. If you’re already encountered some basic programming knowledge in Python, Swift, or C, to name a few, you’ll be able to catch onto R’s syntax fairly quickly. R, developed in 1993 at the University of Auckland, is one of many popular open-source programming languages. You can use the clickable menu to skip ahead to any section. What is RStudio used for in data analytics?.You’ll get a deeper understanding of why it’s so popular among data analysts and leave with practical examples on how you can launch your next data modeling task with this tool. In this article, we’ll take a look at the programming language R, the key features of RStudio, and how and when you can best utilize RStudio’s IDE for your own projects. Whether you’re a researcher, data analyst, or a hobby statistician, RStudio’s user-friendly interface is easy to learn and use effectively. RStudio’s widespread adoption by the data analytics community can be attributed to how it offers users an integrated and simple approach for conducting data analysis, visualization, and statistical modeling. RStudio has become the most popular integrated development environment (IDE) for R users since it was launched in 2011 by Posit, an open-source data science company.

Rstudio online learning