Online Course: Introduction to R programming & RStudio for beginners - Intro video 2
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Full Course link: https://www.udemy.com/course/introduction-to-r-programming-rstudio-for-beginners/?referralCode=ECFD9D6E2BCAD5776878
Introduction to R programming & RStudio for beginners - with practical exercises
(Please note: this course is a basic introduction to R and RStudio, meant for beginner level. More advanced courses coming soon.)
R is currently one of the most requested programming languages in the Data Science job market that makes it the hottest trend nowadays.
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. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS.
No one is born a data scientist. Every person who works with R today was once a complete beginner. No matter how much you know about the R ecosystem already, you’ll always have more to learn.
Applications of R:
We use R for Data Science. It gives us a broad variety of libraries related to statistics. It also provides the environment for statistical computing and design.
R is used by many quantitative analysts as its programming tool. Thus, it helps in data importing and cleaning.
R is the most prevalent language. So many data analysts and research programmers use it. Hence, it is used as a fundamental tool for finance.
Tech giants like Google, Facebook, bing, Accenture, Wipro and many more using R nowadays.
Why R Programming Language?
R programming is used as a leading tool for machine learning, statistics, and data analysis. Objects, functions, and packages can easily be created by R.
It’s a platform-independent language. This means it can be applied to all operating system.
It’s an open-source free language. That means anyone can install it in any organization without purchasing a license.
R programming language is not only a statistic package but also allows us to integrate with other languages (C, C++). Thus, you can easily interact with many data sources and statistical packages.
The R programming language has a vast community of users and it’s growing day by day.
Statistical Features of R:
Basic Statistics: The most common basic statistics terms are the mean, mode, and median. These are all known as “Measures of Central Tendency.” So using the R language we can measure central tendency very easily.
Static graphics: R is rich with facilities for creating and developing interesting static graphics. R contains functionality for many plot types including graphic maps, mosaic plots, biplots, and the list
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