Course

Data Structures in R

In this course, you’ll learn the most common data structures, such as vectors, lists, matrices, and DataFrames in R.

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Part of the Data Analyst (R), and R Basics for Data Analysis paths.

4.8 (359 reviews)

14,176 learners enrolled in this course.

Beginner friendly
6 hours
Self paced
5 lessons
1 project

“I’ve spent months learning on Dataquest and have thoroughly enjoyed the approach and the fact that I got to build portfolio-worthy projects.”

Yeside Okelana

Project Manager

Data Structures in R

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Course overview

In this course, you’ll learn the most common basic data structures you’ll encounter in the data analysis workflow. You’ll learn how to work with vectors, matrices, lists, and DataFrames. You’ll be able to index vectors and matrices to extract specific elements and apply functions to vectors and matrices to perform calculations. You’ll also learn how to create and index lists to extract objects. Finally, you’ll learn how to define a tibble, filter and subset the data in a tibble and employ piping with tibbles.

Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser. The course will wrap up with a guided project that will enable you to perform a data analysis by investigating COVID-19 Virus Trends

Key skills

Creating a data structure
Indexing a data structure
Performing operations over a data structure

Course outline

Data Structures in R [5 lessons]

Vectors in R 2h

Lesson Objectives

Define vectors and foundational data structures in R
Index vectors to extract specific elements
Apply functions to vectors to perform calculations

Matrices in R 2h

Lesson Objectives

Define matricies and foundational data structures in R
Index matrices to extract specific elements
Apply functions to matrices to perform calculations

Lists in R 2h

Lesson Objectives

Create lists
Index lists to extract objects

Dataframes in R 2h

Lesson Objectives

Define a tibble
Identify the different characteristics of a tibble
Filter and subset the data in a tibble
Employ piping with tibbles

Guided Project: Investigating COVID-19 Virus Trends 1h

Lesson Objectives

Expand your portfolio with a data structures project
Overcome common challenges in data analysis

Projects in this course

Investigating COVID-19 Virus Trends

For this project, you’ll be a data analyst investigating a real COVID-19 dataset. You’ll use R to manipulate and analyze the data, building in-demand skills as you find countries with the highest positive test rates.

View Project

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Dataquest has helped thousands of people start new careers in data. If you put in the work and follow our path, you’ll master data skills and grow your career.

We believe so strongly in our paths that we offer a full satisfaction guarantee. If you complete a career path on Dataquest and aren’t satisfied with your outcome, we’ll give you a refund.

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Build confidence with our in-depth projects, and show off your data skills.

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Work with real data from day one with interactive lessons and hands-on exercises.

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Jessica Ko

Machine Learning Engineer at Twitter

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