Popular R developer tools like GitHub and RStudio will be taught as well, and students will set up those developer tools and use them to manage data science programming projects. The course will teach R programmers how to analyze data, clean it, and visualize information. Read: Is the Google Data Analytics Professional Certificate Worth It?Ĭoursera’s Data Science: Foundations Using R teaches you how to think like a data scientist. Meanwhile, if you are interested in taking the entire Google Analytics Professional Certificate program, you can read our article on the subject (linked below) to learn more. In this course, potential R developers will learn the basics of the R programming language and the R programming environment, get an overview of options for generating visualizations with R, learn the programming concepts such as how to work with data types, functions, and variables, and be introduced to basic formatting R Markdown concepts. General R Programming CoursesĬoursera’s Data Analysis with R Programming is part of Google’s Data Analytics Professional Certificate program and takes you through the basics of R programming, with no coding experience required. Some courses also may be a part of a larger certificate program, so keep that in mind as you choose courses to help you become an R developer. Note that the links to the following courses will bring you to various educational providers, which all have different pricing models. In this article, we will go through some courses that will help you develop your knowledge of R and R development best practices. Like all programming languages, R has a learning curve that can be difficult for some. It is used extensively by statisticians, data analysts, data scientists, and more to gain valuable insights from data. R is a programming language that solely focuses on statistical analysis and visualization.
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