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Course

Introduction to R

Beginner

4.8+

Updated 04/2025

Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.

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RProgramming4 hours62 Exercises6,200 XP2,876,876Statement of Accomplishment

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Course Description

Learn R Programming

R programming language is a useful tool for data scientists, analysts, and statisticians, especially those working in academic settings. R's ability to handle complex analyses such as machine learning, financial modeling, and more makes it a valuable asset for a wide range of data-related tasks.

This introduction to R course covers the basics of this open source language, including vectors, factors, lists, and data frames. You’ll gain useful coding skills and be ready to start your own data analysis in R.

Gain an Introduction to R

You’ll get started with basic operations, like using the console as a calculator and understanding basic data types in R. Once you’ve had a chance to practice, you’ll move on to creating vectors and try out your new R skills on a data set based on betting in Las Vegas.

Next, you’ll learn how to work with matrices in R, learning how to create them, and perform calculations with them. You’ll also examine how R uses factors to store categorical data. Finally, you’ll explore how to work with R data frames and lists.

Master the R Basics for Data Analysis

By the time you’ve completed our Introduction to R course, you’ll be able to use R for your own data analysis. These sought-after skills can help you progress in your career and set you up for further learning. This course is part of several tracks, including Data Analyst with R, Data Scientist with R, and R Programming, all of which can help you develop your knowledge.

Prerequisites

There are no prerequisites for this course

1

Intro to basics

How it works

Arithmetic with R

Variable assignment

Variable assignment (2)

Variable assignment (3)

Apples and oranges

Basic data types in R

What's that data type?

2

Vectors

Create a vector

Create a vector (2)

Create a vector (3)

Naming a vector

Naming a vector (2)

Calculating total winnings

Calculating total winnings (2)

Calculating total winnings (3)

Comparing total winnings

Vector selection: the good times

Vector selection: the good times (2)

Vector selection: the good times (3)

Vector selection: the good times (4)

Selection by comparison - Step 1

Selection by comparison - Step 2

Advanced selection

3

Matrices

What's a matrix?

Analyze matrices, you shall

Naming a matrix

Calculating the worldwide box office

Adding a column for the Worldwide box office

Adding a row

The total box office revenue for the entire saga

Selection of matrix elements

A little arithmetic with matrices

A little arithmetic with matrices (2)

4

Factors

What's a factor and why would you use it?

What's a factor and why would you use it? (2)

What's a factor and why would you use it? (3)

Factor levels

Summarizing a factor

Battle of the sexes

Ordered factors

Ordered factors (2)

Comparing ordered factors

5

Data frames

What's a data frame?

Quick, have a look at your dataset

Have a look at the structure

Creating a data frame

Creating a data frame (2)

Selection of data frame elements

Selection of data frame elements (2)

Only planets with rings

Only planets with rings (2)

Only planets with rings but shorter

Sorting your data frame

6

Lists

Lists, why would you need them?

Lists, why would you need them? (2)

Creating a list

Creating a named list

Creating a named list (2)

Selecting elements from a list

Creating a new list for another movie

Introduction to R

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Included withPremium or Teams

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*4.8

from 545 reviews

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Top reviews

ANAMIKA

about 3 hours

ANAMIKA’s review of the course “Introduction to R”I found the “Introduction to R” course incredibly helpful for beginners. The content was clear, well-structured, and easy to follow. The practical exercises and examples really helped reinforce the concepts, and I appreciated the hands-on approach. The instructor’s explanations were straightforward, making complex topics more accessible. I feel much more confident in my R programming skills after completing this course. Highly recommend it to anyone looking to get started with R!

Parth

about 5 hours

very good questions

Alexandra

about 5 hours

Perfect for a beginner

Ahmed

about 23 hours

HARSH

about 5 hours

This lesson clearly explains how to combine different data types (vectors, data frames, etc.) into a single list. I especially liked how it gradually introduced selecting elements using both index and name. Super helpful if you're trying to organize real-world data like movie info or reviews!

SAFAA

about 8 hours

"very good questions"

Parth

"Perfect for a beginner"

Alexandra

Ahmed

FAQs

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