R Programming Free Course for Beginners

R is a free open-source programming language developed for statistical computing and graphics. It simplifies the process for data analysts and scientists to extract valuable insights from complex datasets.

Overview

Chapters

Reviews

FAQ’s

16

Chapters

01

Cheat Sheet

92

Articles

01

Interview Question

Discover a smoother learning journey through our effortless roadmap

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Chapters

Basics

6 articles

R Programming Language - Introduction

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

Hello World in R Programming

Fundamentals of R

5 articles

Basic Syntax in R Programming

Comments in R

R Operators

R - Keywords

R Data Types

Variables

5 articles

R Variables - Creating, Naming and Using Variables in R

Scope of Variable in R

Dynamic Scoping in R Programming

Lexical Scoping in R Programming

Lexical Scoping vs Dynamic Scoping in R Programming

Input and Output

3 articles

Taking Input from User in R Programming

Printing Output of an R Program

Print the Argument to the Screen in R Programming - print() Function

Decision Making

4 articles

Decision Making in R Programming - if, if-else, if-else-if ladder, nested if-else, and switch

R - if statement

R If Else Conditions

Switch case in R

Control Flow

8 articles

Control Statements in R Programming

Loops in R (for, while, repeat)

For loop in R

R - while loop

R - Repeat loop

goto statement in R Programming

Break and Next statements in R

R Next Statement

Functions

5 articles

Functions in R Programming

Function Arguments in R Programming

Types of Functions in R Programming

Recursive Functions in R Programming

Conversion Functions in R Programming

Data Structures

7 articles

R Strings

R Vectors

R - Lists

R - Array

R - Matrices

R - Data Frames

R Factors

Object Oriented Programming

8 articles

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

Error Handling

3 articles

Handling Errors in R Programming

Condition Handling in R Programming

Debugging in R Programming

File Handling

5 articles

File Handling in R Programming

Reading Files in R Programming

Writing to Files in R Programming

Read Lines from a File in R Programming - readLines() Function

Working with Binary Files in R Programming

Packages in R

8 articles

Packages in R Programming

dplyr Package in R Programming

Data visualization with R and ggplot2

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 Visualization

5 articles

Graph Plotting in R Programming

Graphical Models in R Programming

Plotting Graphs using Two Dimensional List in R Programming

Getting started with Data Visualization in R

R - Charts and Graphs

Basic of Statistics in R

5 articles

R - Statistics

Mean, Median and Mode in R Programming

Calculate the Average, Variance and Standard Deviation in R Programming

Homogeneity of Variance Test in R Programming

Covariance and Correlation in R Programming

Basic of Machine Learning in R

13 articles

Descriptive Analysis in R Programming

Binomial Distribution in R Programming

Hypothesis Testing in R Programming

How to Find Confidence Intervals in R?

Covariance and Correlation in R Programming

ANOVA (Analysis of Variance) Test in R Programming

Wilcoxon Signed Rank Test in R Programming

Classifying data using Support Vector Machines(SVMs) in R

KNN Classifier in R Programming

Naive Bayes Classifier in R Programming

Hierarchical Clustering in R Programming

Principal Component Analysis with R Programming

Apriori Algorithm in R Programming

R Cheat Sheet

2 articles

Top 50 R Interview Questions with Answers

ggplot2 Cheat Sheet

R Programming Free Online Course - Overview

This R Programming Course is beginner-friendly, structured, and well-organized. It is divided into modules, with each module focusing on different concepts of R programming.
Whether you are a complete beginner or have some prior programming experience, this course will provide you with the essential skills you need to start using R for data analysis.
As you progress through the course, you'll acquire a deep understanding of R's fundamental concepts, syntax, and functionalities to advanced concepts of R, including data handling, graphics, statistical modelling and more.
We will also provide you with plenty of resources to help you succeed, such as quizzes, solutions, and community support.

R Programming Free Online Course - Prerequisites

Before you start learning R, it’s recommended to have a basic understanding of Computer fundamentals, Statistics, and basic mathematics.

  1. Basic R Syntax
  2. Data Manipulation
  3. Data Visualization
  4. Statistical Modeling
  5. Programming Fundamentals
  6. Object-Oriented Programming
  7. Package Management

R Programming Course For Data Analysis

Here are several reasons highlighting R's significance in data analysis -

  1. Open Source: Free and open for modification.
  2. Statistical Computing: Specifically designed for statistical analysis.
  3. Data Visualization: Extensive capabilities for creating charts and graphs.
  4. Extensibility: Easily expand functionality with user-defined functions.
  5. Integration: Seamless integration with other languages and databases.
  6. Cross-Platform: Works on Windows, macOS, and Linux.

Reviews

Anmol Agarwal

The roadmap was really awesome. Through the course, I gained the confidence to work with APIs seamlessly and efficiently automate tasks

Kanika Bisht

This course helps me to get placed, each concept of this course is well described. So, I was able to grasp the fundamentals and with practical skills.

Mouri Roy

I have learned from this R programming from this course and am very satisfied with it. This is easy to learn and follow, with clear explanations and examples. It covers all the topics.

Lokesh Rawat

The structure of this course is really awesome, and the thing I like most is beginner friendly layout. I started it without no knowledge of R and now I have a knowledge of all the concepts and theory.

FAQ's

What is R Language?

R is a programming language and also a software environment for statistical computing and data analysis. R was developed by Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand.

What will I learn in this R programming course?

This R programming course covers all the basic and advanced concepts of R, including introduction, features, installation, variables, data types, operators, if statements, vectors, data handling, graphics, and statistical modelling.

Why should I learn the R language?

As one of the popular programming languages for statistical computing and data analysis, R is a top choice for organizations seeking data professionals. Leading companies, including Facebook, Netflix, and Bloomberg, rely on R's capabilities.

Which is the more demanding language? Python or R?

Both languages have their own use case. For Example, Python is used in many applications such as Web Development, data Analysis Etc. In the case of data science, R has more demand than Python. Specific skills are needed in comparison to Python which is a multi-purpose language.

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