The R programming language has a vast community of users and it’s growing day by day.īasic Statistics: The most common basic statistics terms are the mean, mode, and median. Thus, you can easily interact with many data sources and statistical packages. R programming language is not only a statistic package but also allows us to integrate with other languages (C, C++). That means anyone can install it in any organization without purchasing a license. This means it can be applied to all operating system. Objects, functions, and packages can easily be created by R. R programming is used as a leading tool for machine learning, statistics, and data analysis. Tech giants like Google, Facebook, bing, Accenture, Wipro and many more using R nowadays. Hence, it is used as a fundamental tool for finance. So many data analysts and research programmers use it. Thus, it helps in data importing and cleaning. R is used by many quantitative analysts as its programming tool. It also provides the environment for statistical computing and design. It gives us a broad variety of libraries related to statistics. No matter how much you know about the R ecosystem already, you’ll always have more to learn.

Every person who works with R today was once a complete beginner. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. R is a programming language and free software environment for statistical computing, data manipulation & analysis, graphics representation and reporting supported by the R Foundation for Statistical Computing. R is currently one of the most requested programming languages in the Data Science job market that makes it the hottest trend nowadays. (Please note: this course is a basic introduction to R and RStudio, meant for beginner level.

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