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R is an open-source programming language designed for data science and statistics. It’s a powerful tool for working with data, and its documentation and supportive community offer helpful resources for new programmers.
Feb 12, 2024 · R is a free, open-source programming language, meaning anyone can use, modify, and distribute it. It was initially written by Ross Ihaka and Robert Gentleman (also known as R&R) of the University of Auckland’s Statistics Department.
In this course you will learn how to program in R and how to use R for effective data analysis. You will learn how to install and configure software necessary for a statistical programming environment and describe generic programming language concepts as they are implemented in a high-level statistical language.
a well developed, simple and effective programming language (called ‘S’) which includes conditionals, loops, user defined recursive functions and input and output facilities. (Indeed most of the system supplied functions are themselves written in the S language.)
Learn the R programming language in this tutorial course. This is a hands-on overview of the statistical programming language R, one of the most important to...
Updated Oct 2023 · 18 min read. R is a statistical programming tool that’s uniquely equipped to handle data, and lots of it. Wrangling mass amounts of information and producing publication-ready graphics and visualizations is easy with R. So are all sorts of data analysis, mining, and modeling tasks.
Introduction to R Programming for Data Science Course by IBM | Coursera. This course is part of multiple programs. Learn more. Taught in English. 22 languages available. Some content may not be translated. Instructor: Yan Luo. Enroll for Free. Starts May 2. Financial aid available. 40,337 already enrolled. Included with. • Learn more. About.
