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Free course

# Introduction to R

4.7+
219 reviews
Beginner

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

4 Hours62 Exercises2,433,536 Learners6200 XPData Analyst with R TrackData Scientist with R TrackR Programming Track

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## Learn R Programming

R is the most popular programming language in the data industry thanks to its use of vectors and its variety of pre-processed packages. It’s in high demand for Data Scientists, Analysts, and Statisticians alike and is capable of handling AI, machine learning, financial analysis, and much more.

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.
1. 1

### Intro to basics

Free

Take your first steps with R. In this chapter, you will learn how to use the console as a calculator and how to assign variables. You will also get to know the basic data types in R. Let's get started.

How it works
100 xp
Arithmetic with R
100 xp
Variable assignment
100 xp
Variable assignment (2)
100 xp
Variable assignment (3)
100 xp
Apples and oranges
100 xp
Basic data types in R
100 xp
What's that data type?
100 xp
2. 2

### Vectors

Free

We take you on a trip to Vegas, where you will learn how to analyze your gambling results using vectors in R. After completing this chapter, you will be able to create vectors in R, name them, select elements from them, and compare different vectors.

3. 3

### Matrices

Free

In this chapter, you will learn how to work with matrices in R. By the end of the chapter, you will be able to create matrices and understand how to do basic computations with them. You will analyze the box office numbers of the Star Wars movies and learn how to use matrices in R. May the force be with you!

4. 4

### Factors

Free

Data often falls into a limited number of categories. For example, human hair color can be categorized as black, brown, blond, red, grey, or white—and perhaps a few more options for people who color their hair. In R, categorical data is stored in factors. Factors are very important in data analysis, so start learning how to create, subset, and compare them now.

5. 5

### Data frames

Free

Most datasets you will be working with will be stored as data frames. By the end of this chapter, you will be able to create a data frame, select interesting parts of a data frame, and order a data frame according to certain variables.

6. 6

### Lists

Free

As opposed to vectors, lists can hold components of different types, just as your to-do lists can contain different categories of tasks. This chapter will teach you how to create, name, and subset these lists.

In the following tracks

Data Analyst with RData Scientist with RR Programming

#### Jonathan Cornelissen

Co-founder of DataCamp

Jonathan Cornelissen is one of the co-founders of DataCamp and the initial DataCamp CEO, and is interested in everything related to data science, education and entrepreneurship. He holds a PhD in financial econometrics, and was the original author of an R package for quantitative finance.

More information at: jonathancornelissen.com
or here
Read on Medium
Connect on Linkedin

## Don’t just take our word for it

*4.7
from 219 reviews
78%
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• Nadina D.
about 7 hours

Great!!!

• EDUARDO G.
about 8 hours

Really good

• lawrence a.
about 8 hours

it has played a great role in exposing me to R

• Josue M.
1 day

Es un curso muy bien estructurado que te enseña paso a paso.

• Stefano S.
1 day

good

• Loading ...

"Great!!!"

Nadina D.

"Really good"

EDUARDO G.

"it has played a great role in exposing me to R"

lawrence a.

## Create Your Free Account

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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.