R programming language: A free tool used by Google and Pfizer to analyze data
✅ It is free.
R is open-source software that anyone can download and use without licensing fees, for both personal and commercial purposes. You can get it from www.r-project.org. Installation is quick and straightforward.
✅ It is open.
Users can not only use the software but also modify the code, create new packages, and share them with the community.
✅ It runs everywhere.
R works on Windows, Mac, and Linux.
✅ It is powerful.
R includes hundreds of tools for statistical tests, modeling, simulations, and visualizations. More than 10,000 extension packages are available in the CRAN repository.
✅ It is flexible.
With R, you can analyze virtually any type of data: tables, time series, spatial data, text, or genetic information.
✅ It is interactive and fun.
Working with R is surprisingly intuitive. Often, just one or two lines of code are enough to build a model or create a beautiful chart.
With a well-designed course, you will quickly learn to:
R is supported by a large, active community of data scientists, statisticians, and developers. There are countless free tutorials, forums, courses, and books available. But this wealth of resources can be overwhelming for beginners (especially with the command-line interface, unfamiliar terminology, and hundreds of functions).
R offers capabilities that many other platforms simply lack.
R is more than just a tool. It is a way to understand the world through data. Its capabilities grow along with the volume and complexity of information. Together with its community, R is constantly evolving.
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The article was created in collaboration with the lecturer of the Introduction to Programming course.