Instructors: Prof. Dr. Academic Educator | 11 sections • 25 lectures • 6h 21m total length
Video: MP4 1280x720 44 KHz | English + Sub | Updated 7/2022 | Size: 3.69 GB
R Programming Language
What you'll learn
R Programming
Requirements
Basic computer programming knowledge would be a plus
Description
In this course we teach R programming language which is an interpreted language. An interpreted language does not need a compiler. That is, part of the program can be run without requiring all the program to be complete. R is a free software environment for statistical computing and graphics. 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 ranks 9th in the TIOBE index, a measure of popularity of programming languages. R and its libraries implement various statistical and graphical techniques, including linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and others. R is easily extensible through functions and extensions, and the R community is noted for its active contributions in terms of packages.
Who this course is for:Statisticians, Bioinformaticians, Economists, University Students Studying Statistics, Economy
Homepage
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