Introduction to R-Programming

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++.

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.

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.

Module 1: Introduction to R-Programming. 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.