R Programming for Absolute Beginners

[TheCornor]

R Programming for Absolute Beginners

MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 3 Hours | Lec: 30 | 378 MB

Genre: eLearning | Language: English

 

Learn R Programming from Scratch

 

R has become the most loved programming language and environment for data scientists and miners across the world, with many praising this amazing language for its ability to create cutting-edge scientific algorithms to build intelligent analytics applications.

 

Learn R Programming from Scratch

Learn R with the EASIEST and SIMPLEST course on Udemy! Master R programming language and environment with this beginners course.

R has become the most loved programming language and environment for data scientists and miners across the world, with many praising this amazing language for its ability to create cutting-edge scientific algorithms to build intelligent analytics applications.

R is a free, open source language and environment for statistical computing and graphics. The environment is part of the GNU package and is written primarily in C, Fortan and R. It was designed by Ross Ihaka and Robert Gentleman an implementation of the S programming language combined with lexical scoping semantics inspired by Scheme.

R simplifies the process of creating mathematical symbols and formulae and also provides a range of statistical and graphical techniques including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, etc.

If you want to learn R programming language and environment, this is the RIGHT place to be! Our course has been designed as one of the easiest step-by-step course to help you not only master R in theory but also become fluent in using R in the real world.

Drifting away from the complicated courses and confusing terminology, our course was designed to help budding statisticians learn how to get started with R, right of the bat. They will go over R in short and simple steps, that will not only teach them how it works, but how they can work with it without any help. At the end of this course, students will have enough knowledge that they can start working with R by themselves.

The course will cover topics such as what is R and how to install it, how to get started with R and create relationship with maths, vectors, arrays and matrices. How to handle data in data in R by creating lists, data frames and functions, as well as how to control flow are included. That's not all, students will also learn how to import and export data, update time and date, handle packages and even generate graphs.

 

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