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R

Application Development
R

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Course Description

R programming is popular in the field of data science among data analysts, researchers, statisticians, etc. You can use R to retrieve data from datasets, clean them, analyze and visualize them, and present them in the most suitable way.

Duration: 40 Hours

Category: Application Development

Type: Programming

₹6,500 ₹4,500 Save ₹2,000
View Syllabus 91
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Course Syllabus

Topics and modules covered in R

91 modules

R Programming Language

Interesting Facts about R Programming Language

R vs Python

Environments in R Programming

Introduction to R Studio

How to Install R and R Studio?

Creation and Execution of R File in R Studio

Clear the Console and the Environment in R Studio

Basic Syntax in R Programming

Comments in R

R Operators

R - Keywords

R Data Types

R Variables

Scope of Variable in R

Dynamic Scoping in R Programming

Lexical Scoping in R Programming

Input/Output

Taking Input from User in R Programming

Printing Output of an R Program

Control Statements in R Programming

if, if-else, if-else-if , nested

Switch case in R

For loop in R

while loop

Repeat loop

goto statement in R Programming

Break and Next statements in R

Functions in R Programming

Function Arguments in R Programming

Types of Functions in R Programming

Recursive Functions in R Programming

Data Structures in R Programming

R Strings

R Vectors

R - Lists

R - Array

R - Matrices

R - Data Frames

Object Oriented Programming

R - Object Oriented Programming

Classes in R Programming

R - Objects

Encapsulation in R Programming

Polymorphism in R Programming

R - Inheritance

Abstraction in R Programming

Looping over Objects in R Programming

S3 class in R Programming

Handling Errors in R Programming

Condition Handling in R Programming

Debugging in R Programming

File Handling in R Programming

Reading Files in R Programming

Writing to Files in R Programming

Working with Binary Files in R Programming

Packages in R Programming

Data visualization with R and ggplot2

dplyr Package in R Programming

Grid and Lattice Packages in R Programming

Shiny Package in R Programming

tidyr Package in R Programming

What Are the Tidyverse Packages in R Language?

Data Munging in R Programming

Data Interfaces

Data Handling in R Programming

Importing Data in R Script

Exporting Data from scripts in R Programming

Working with CSV files in R Programming

Working with XML Files in R Programming

Working with Databases in R Programming

Data Visualization in R

R - Line Graphs

R - Bar Charts

Histograms in R language

Scatter plots in R Language

R - Pie Charts

Boxplots in R Language

Statistics

R - Statistics

Mean, Median and Mode in R Programming

Calculate the Average, Variance and Standard Deviation in R Programming

Descriptive Analysis in R Programming

Normal Distribution in R

Binomial Distribution in R Programming

ANOVA Test in R Programming

Covariance and Correlation in R Programming

Skewness and Kurtosis in R Programming

Hypothesis Testing in R Programming

Bootstrapping in R Programming

Time Series Analysis in R

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