Introduction to R
- Offered byGreat Learning
Introduction to R at Great Learning Overview
Duration | 1 hour |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Go to Website |
Credential | Certificate |
Introduction to R at Great Learning Highlights
- Earn a certificate after completion of the course
- Free lifetime access
Introduction to R at Great Learning Course details
Data Analysts
Business Analyst
Anyone Interested in Data Analysis
In this course, you will learn the basics of R programming language, including variables, data types, data structures, control structures, functions, and packages. You will also learn how to use R for data analysis and visualization, including importing data, manipulating data, creating graphics, and performing statistical analysis
Students will learn how to use R for a variety of tasks, including data cleaning and wrangling, exploratory data analysis, statistical modeling, and predictive analytics
Introduction to R at Great Learning Curriculum
Installing R and Variables in R
Installation is the very first step of using the software. This module provides information to all the learners from where we have to install R and how to declare and initialize variables in R
Data Types in R
Just like any other programing language R also has a variety of Data Types like numeric Data Type, Character Data Type, etc. In this module, we have a detailed discussion of Data Types in R with examples
Operators in R
In this module, you will understand the types of Operators in R. you will learn about assignment operators, arithmetic operators, relational operators, and logical operators with suitable code examples
Vector in R
This module equips you with the vector details in R, and you will also have a hands-on session on creating vector with appropriate code examples
List in R
In R, a list is a generic object that represents an ordered collection of things. You will go through a detailed explanation on lists with code examples
Matrix in R
A matrix is a rectangular array of numbers arranged in columns and rows. This module explains matrix- two dimensional data structure better with code examples
Arrays in R
Arrays are important data storage structures with a specific number of dimensions. Through this module, you will learn about multidimensional homogeneous data structure- array in R with relevant code examples
Factor and Dataframe in R
This module begins with explaining what a factor is and will help you understand it through an example
Inbuilt Functions and Flow Control Statements in R
This module contains a hands-on session in R where you will thoroughly learn about inbuilt functions and flow control statements in R through informative code examples.