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It was built with statistical manipulation in mind, and there’s an incredible ecosystem of packages for R that let you do amazing things – particularly in data visualization – that would be much more difficult in Python. ‘R’ is one of the two most important languages used by data scientists, statisticians as well as Predictive Analytics and Big Data Analytics practitioners. R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. Hence, you can work with several data sources as well as statistical packages. Learn the technical skills you need for the job you want. But getting started with R can be challenging, particularly if you've never programmed before. 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This course is truly step-by-step. print [Hello world!] This is one of the simplest programs that can be written in most high-level languages. This is attributed to the essentials of R programming being vested in the logic-based building blocks of each practice and theory session. Try R at Code School - This is a free, online, self-paced course covering introductory concepts in R programming and simple data analysis. This course aims to provide you with:. And with the knowledge and practical skills you will acquire in this course, you will be better prepared to undertake your first very own data analysis. This course is literally data science demystified. This course aims to provide you with: a working familiarity with the R language. This is the online book for Colorado State University’s R Programming for Research courses (ERHS 535, ERHS 581A3, and ERHS 581A4). 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