Name: Introduction to R-Programming
Uploaded: 2022-02-20
Duration: 2 min 2 s
Description: Introduction to R-Programming. VIKAS GOEL. Consultant – Instructor - Author Experienced Machine Learning , AI and Data Science Expert using R-programming, Python, MATLAB and C/C++.

Introduction to R-Programming. VIKAS GOEL. Consultant – Instructor - Author Experienced Machine Learning , AI and Data Science Expert using R-programming, Python, MATLAB and C/C++. 

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Consultant – Instructor - Author  Experienced  Machine Learning , AI and Data Science Expert using R-programming, Python, MATLAB and C/C++

Course Prerequisite. Prerequisite R-software along with R-Studio R can be downloaded from one of the mirror sites in: http ://cran.r-project.org/mirrors.html Requirement Internet Connection. 

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Prerequisite R-software along with R-Studio R  can be downloaded from one of the mirror sites in: http ://cran.r-project.org/mirrors.html Requirement   Internet  Connection

About this course. Learning R-Programming enables to work with data that helps in study and analysis of data along with various trends and statistics. The entire course has been divided into 5 modules, listed below: Modules	Description Duration Module 1	Introduction to R-Programming 2 Hours Module 2	Data and Matrix Operations 2 Hours Module 3	Data Visualization using R-Studio 2 Hours Module 4	Basic Statistics with R-Studio 2 Hours Module 5	Advanced Statistics with R-Studio	2 Hours. 

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Learning R-Programming enables to work with data that helps in study and analysis of data along with various trends and statistics. The entire course has been divided into 5 modules, listed below: Modules	Description				Duration Module 1	Introduction  to  R-Programming		2 Hours Module  2	Data  and Matrix  Operations		2 Hours Module  3	Data  Visualization using  R-Studio		2 Hours Module  4	Basic Statistics  with  R-Studio		2 Hours Module  5	Advanced  Statistics with  R-Studio	2 Hours

Module 1: Introduction to R-Programming. Open-source, statistical software, vast community and cross-section platform. 

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Open-source, statistical software, vast community and cross-section platform

Module-1 Overview. About R-Software Application Areas R-Studio and Software Installation Getting Started with Environment Introduction to Arrays, Strings and Print Statements Path Environments Model Summary Quiz. 

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About R-Software  	Application Areas  	R-Studio and Software Installation  	Getting Started with Environment  	Introduction to Arrays, Strings and Print Statements  	Path Environments  	Model Summary  	Quiz

Introduction to R-Programming

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 Prerequisite R-software along with R-Studio R  can be downloaded from one of the mirror sites in: http ://cran.r-project.org/mirrors.html Requirement   Internet  Connection