R Programming for Beginners

R Programming course for newbies. R installation, data types, statements, functions, conditions, packages, data frames.

4.55 (93 reviews)
Udemy
platform
English
language
Programming Languages
category
instructor
R Programming for Beginners
18,309
students
8.5 hours
content
Oct 2023
last update
$39.99
regular price

What you will learn

End-to-end knowledge on R programming language

Become an R Programmer from scratch

R Introduction & Installation

R Data Structures

R Data Types, R Packages

Build a Calculator using R

Condition Statements, Looping, Repeat Statements in R

Sum of N natural numbers, Sum Recursion

Switch Statement, Functions, Factors in R

Data Preprocessing and Dataframes in R

Data Reshaping

R Math built-in Functions

Melting and Casting in R

Description

A warm welcome to the R Programming for Beginners course by Uplatz.


R is a programming language regularly used for arithmetical computing and graphical demonstration to examine and visualize data. R is a software environment which is used to analyze numerical data and graphical representation. R lets us to do sectional programming using functions. R programming language was named R, founded on the first name letter of the two authors - Robert Gentleman and Ross Ihaka. An overall understanding of R should cover topics such as introduction, features, installation, RStudio ide, variables, datatypes, operators, if statement, vector, data handing, graphics, statistical modelling, etc. R not only allows us to do branching and looping but also allows to do modular programming using functions. R allows integration with the procedures written in the C, C++, .NET, Python, and FORTRAN languages to improve efficiency.

R is one of the most significant instrument which is used by investigators, data analyst, statisticians, and marketers for retrieving, cleaning, analyzing, visualizing, and presenting data. R is available for Linux, MacOS, and Windows. R's binary and logical operators will look very acquainted to programmers. R can be used to compute a large variety of classical statistic tests. With R, it’s also possible to perform classification analysis such as Principal component analysis and clustering. Many types of graphs can be drawn using R, including, box plot, histogram, density curve, scatter plot, line plot, bar plot, etc.


R Programming for Beginners - Course Syllabus

  1. Introduction to R Language

  2. R Installation

  3. R Data Structures

  4. R Data Types

  5. R Packages

  6. Simple Calculator using R

  7. R as a Calculator

  8. Condition Statements in R

  9. Looping in R

  10. Repeat Statement in R

  11. Sum of N Natural Numbers

  12. Sum Recursion

  13. Switch Statement in R

  14. Data Pre-processing

  15. Functions in R

  16. Factors in R

  17. Data frames in R

  18. Data Reshaping

  19. R Math built-in Functions

  20. Melting and Casting in R

Content

Introduction to R Language

Introduction to R Language

R Installation

R Installation

R Data Structures

R Data Structures

R Data Types

R Data Types - part 1
R Data Types - part 2

R Packages

R Packages

Simple Calculator using R

Simple Calculator using R

R as a Calculator

R as a Calculator

Condition Statements in R

Condition Statements in R - part 1
Condition Statements in R - part 2

Looping in R

Looping in R

Repeat Statement in R

Repeat Statement in R

Sum of N Natural Numbers

Sum of N Natural Numbers

Sum Recursion

Sum Recursion

Switch Statement in R

Switch Statement in R

Data Pre-processing

Data Pre-processing

Functions in R

Functions in R

Factors in R

Factors in R

Data Frames in R

Data Frames in R
Merging Data Frame in R

Data Reshaping

Data Reshaping - part 1
Data Reshaping - part 2
Data Reshaping - part 3

R Math built-in Functions

R Math built-in Functions

Melting and Casting in R

Melting and Casting in R

Reviews

Victor
August 8, 2022
There is no enthusiasm in the teacher. It feels like he/she is reading from a book which makes the video very boring.
Ng
August 9, 2021
The lecturer clearly explains the difference between R and Python programming Languages. Developers can easily identify how to use it in real development of application programming.

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DateDiscountStatus
7/3/2021100% OFF
expired
10/16/2023100% OFF
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4131724
udemy ID
6/18/2021
course created date
7/1/2021
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