Updated on Apr, 2024
Language - English
A good introduction. A lot can be accomplished just by naming a function and giving an example so that the student can look it up when needed.
R Programming Online Training
Master R Programming in its entirety in a complete practical setup
Development,R Programming,Data Science
Lectures -41
Duration -1.5 hours
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Course Description
R is a powerful programming language for statistical computing and graphics. It is used by data scientists, statisticians, and researchers to analyze data, build models, and create visualizations.
By the end of this course, you will be able to understand the basics of R programming and conveniently write R code. Here you will learn to analyze and manipulate data along with building statistical models and creating visualizations.
R Programming Online Training Overview
R is a programming language and computing environment used for reporting, graphic representation, and statistical analysis. R was developed by the R Development Core Team at the University of Auckland in New Zealand after it was founded by Ross Ihaka and Robert Gentleman. The initial letter of the first names of the two R authors, Robert Gentleman, and Ross Ihaka, inspired the name of this programming language, which was partly a play on the Bell Laboratories Language S.
This video course is intended for data miners, statisticians, and software developers who are interested in creating statistical software using the R programming language. The course will offer you a thorough overview of practically all of the R programming language's ideas, which will enable you to advance to greater levels of proficiency if you are just learning the language.
This course is perfect for:
Anyone who wants to learn R programming
Data scientists
Statisticians
Researchers
Anyone who wants to work with data
Goals
What will you learn in this course:
Learn how to use R and RStudio interactive environment.
Learn how to install R packages to expand R.
Understand how to use the R documentation.
Learn to explore various sources and Read Structured Data into R.
Know the different data types in R.
Know the different data structures in R.
Prerequisites
What are the prerequisites for this course?
Basic computer skills
Knowledge of control structures, data structures, and algorithms is a plus
Curriculum
Check out the detailed breakdown of what’s inside the course
R Programming Online Training
28 Lectures
-
R - Course Overview
00:44
00:44
-
R - Introduction
00:38
00:38
-
R - Environment Setup
02:35
02:35
-
R - Basic Syntax
03:09
03:09
-
R - Variables
02:30
02:30
-
R - Datatypes
00:53
00:53
-
R - Operators
00:51
00:51
-
R - Arithmetic Operator
01:17
01:17
-
R - Relational Operators
01:17
01:17
-
R - Logical Operator
01:50
01:50
-
R - Decision Making
00:24
00:24
-
R - If Statement
01:33
01:33
-
R - If else Statement
02:03
02:03
-
R - Switch Statement
01:32
01:32
-
R - Loops
00:20
00:20
-
R - For Loop
02:12
02:12
-
R - While Loop
02:10
02:10
-
R - Repeat Loop
02:15
02:15
-
R - Array
03:15
03:15
-
R - Functions
03:00
03:00
-
R - Strings
04:11
04:11
-
R - Vectors
03:34
03:34
-
R - Lists
03:59
03:59
-
R - Matrices
03:23
03:23
-
R - Factors
02:06
02:06
-
R - Data Frames
04:19
04:19
-
R - Packages
03:01
03:01
-
R - Data Reshaping
02:29
02:29
R Handling Files
3 Lectures
R Plotting Data
7 Lectures
R Statistics
2 Lectures
Instructor Details
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