The Comprehensive Programming in R Course
- 4.1
-
![]()
![]()
![]()
![]()
Brief Introduction
How to design and develop efficient general-purpose R applications for diverse tasks and domains.Description
The Comprehensive Programming in R Course is actually a combination of two R programming courses that together comprise a gentle, yet thorough introduction to the practice of general-purpose application development in the R environment. The original first course (Sections 1-8) consists of approximately 12 hours of video content and provides extensive example-based instruction on details for programming R data structures. The original second course (Sections 9-14), an additional 12 hours of video content, provides a comprehensive overview on the most important conceptual topics for writing efficient programs to execute in the unique R environment. Participants in this comprehensive course may already be skilled programmers (in other languages) or they may be complete novices to R programming or to programming in general, but their common objective is to write R applications for diverse domains and purposes. No statistical knowledge is necessary. These two courses, combined into one course here on Udemy, together comprise a thorough introduction to using the R environment and language for general-purpose application development.
The Comprehensive Programming in R Course (Sections 1-8) presents an detailed, in-depth overview of the R programming environment and of the nature and programming implications of basic R objects in the form of vectors, matrices, dataframes and lists. The Comprehensive Programming in R Course (Sections 9-14) then applies this understanding of these basic R object structures to instruct with respect to programming the structures; performing mathematical modeling and simulations; the specifics of object-oriented programming in R; input and output; string manipulation; and performance enhancement for computation speed and to optimize computer memory resources.
Requirements
- Requirements
- Students will need to install the no-cost R console and the no-cost RStudio application (instructions are provided).
Geoffrey Hubona, Ph.D.
4.1 Raiting
[2021] Marketing Analytics A-Z with R & Excel (Version 7.3)
- 4.3
-
![]()
![]()
![]()
![]()
![]()
Learn end to end of marketing analytics, handle huge data & develop goal-oriented strategies + FREE Advance Excel Course Want to get into the core of Marketing Analysis!...
Python Learn by Python Projects & Python Quizzes in 2021
- 3.8
-
![]()
![]()
![]()
![]()
![]()
Python full Course Python Quizzes, Python Projects in Games,Data Analysis & Python Scripting for all Python 3 Developers What you will learn in this course ?...
iOS 13 & Swift 5: Chat App With Firestore | MVVM
- 4.6
-
![]()
![]()
![]()
![]()
![]()
Real Time Chat App with Cloud Firestore & Swift 5 What are we building? Throughout the process, you will develop high level programming, app design and app development skills....
R Programming Basics for Data Science
- 0.0
-
![]()
![]()
![]()
![]()
![]()
This course introduces you to R language fundamentals and covers common data structures, programming techniques, and how to manipulate data all with the help of the R programming language....
