We may earn an affiliate commission when you visit our partners.

Beginning Data Visualization with R

Learn how to create data visualizations with R in order to answer questions about your data.

R is a popular open-source programming language for data analysis. Its interactive programming environment and data visualization capabilities make R an ideal tool for creating a wide variety of data visualizations. In this course, you will learn how to answer questions about your data by creating data visualizations with R.

Enroll now

Or start your subscription today

And complete this course over a free trial

Here's a deal for you

We found an offer that may be relevant to this course.

Save money when you learn. All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

Valid for a limited time only

Future-proof your career

Access O'Reilly books, live events, courses, and more. Save with an annual subscription.

Take

15%

off

What's inside

Syllabus

Course Overview

Introduction

Visualizing One Categorical Variable

Visualizing One Numeric Variable

Visualizing Two Categorical Variables

Visualizing Two Numeric Variables

Visualizing Both a Categorical and a Numeric Variable

Moving Beyond the Basics

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches learners how to create data visualizations from scratch

Taught by Matthew Renze

Uses R, a popular and industry-standard programming language

Provides a foundation for data visualization and visual representation of data

Covers a wide range of visualization techniques for different types of data

Lacks hands-on projects and exercises

Save this course

Save Beginning Data Visualization with R to your list so you can find it easily later:

Save

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Beginning Data Visualization with R with these activities:

Review R programming basics

Show steps

A refresher on R basics can strengthen the foundation for data visualization.

Browse courses on R Programming

Show steps

Review the concepts of data types, data structures, and control flow in R.
Practice writing basic R code to manipulate and analyze data.

Connect with experienced data visualization professionals

Show steps

Mentorship provides personalized guidance and support throughout the learning journey.

Browse courses on Data Visualization

Show steps

Identify potential mentors through professional networking platforms or online communities.
Reach out to mentors, express your interest, and schedule a meeting or call.

Review Exploratory Data Analysis with R

Show steps

Reading this book can provide foundational knowledge on data visualization with R programming.

View R for Data Science: Import, Tidy, Transform,... on Amazon

Show steps

Read the preface of the book to understand the purpose and organization of the book.
Read the sections on ggplot and understand the grammar of graphics.
Review the examples and exercises provided in the book.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Complete RStudio tutorial on ggplot

Show steps

This tutorial provides practical guidance on creating visualizations with ggplot.

Browse courses on Data Visualization

Show steps

Access the RStudio tutorial on ggplot.
Go through the sections on creating basic plots, customizing plots, and advanced visualizations.
Practice creating visualizations with ggplot using the examples provided.

Create data visualizations for practice datasets

Show steps

Hands-on practice in creating visualizations can enhance understanding of the concepts.

Browse courses on Data Visualization

Show steps

Download practice datasets from reputable sources or use sample datasets provided in the course.
Load the dataset into R and explore the data.
Create different types of visualizations (e.g., histograms, scatterplots, bar charts) to analyze and represent the data.

Assemble a collection of data visualization resources

Show steps

A curated collection of resources can serve as a valuable reference for future learning.

Browse courses on Data Visualization

Show steps

Identify and gather articles, tutorials, videos, and other resources on data visualization techniques and best practices.
Organize the resources into a coherent and accessible format (e.g., a document, spreadsheet, or online repository).

Develop a data visualization dashboard

Show steps

Creating a dashboard provides an opportunity to apply skills in a practical and comprehensive way.

Browse courses on Data Visualization

Show steps

Identify a dataset that is relevant to your interests or a specific domain.
Design the layout and structure of the dashboard.
Create interactive visualizations using R and organize them within the dashboard.

Career center

Learners who complete Beginning Data Visualization with R will develop knowledge and skills that may be useful to these careers:

Business Analyst

A Business Analyst uses data to improve business processes. Business Analysts use data to understand customer needs, identify inefficiencies, and recommend solutions. This course can help you build a foundation in creating data visualizations with R, and can help you get started on a career as a Business Analyst.

See salaries and explore the career path for Business Analyst

Data Analyst

A Data Analyst uses data to answer questions about a business. By creating data visualizations, a Data Analyst can help a company understand its customers, its marketing campaigns, or even its own internal processes. This course can help you build a foundation in creating data visualizations with R, and can help you get started on a career as a Data Analyst.

See salaries and explore the career path for Data Analyst

Statistician

A Statistician uses data to answer questions about the world. Statisticians use data to design experiments, analyze data, and draw conclusions. This course can help you build a foundation in creating data visualizations with R, and can help you get started on a career as a Statistician.

See salaries and explore the career path for Statistician

Market Researcher

A Market Researcher uses data to understand the market for a product or service. Market Researchers use data to identify target customers, develop marketing campaigns, and measure the effectiveness of those campaigns. This course can help you build a foundation in creating data visualizations with R, and can help you get started on a career as a Market Researcher.

See salaries and explore the career path for Market Researcher

Data Scientist

A Data Scientist uses data to solve problems and make decisions. Data Scientists use data to create models that can predict future outcomes, recommend products, or even detect fraud. This course can help you build a foundation in creating data visualizations with R, and can help you get started on a career as a Data Scientist.

See salaries and explore the career path for Data Scientist

Quantitative Analyst

A Quantitative Analyst uses data to make investment decisions. Quantitative Analysts use data to analyze financial data, develop trading strategies, and manage risk. This course can help you build a foundation in creating data visualizations with R, and can help you get started on a career as a Quantitative Analyst.

See salaries and explore the career path for Quantitative Analyst

Actuary

An Actuary uses data to assess risk and make financial decisions. Actuaries use data to calculate insurance premiums, design pension plans, and manage financial risk. This course can help you build a foundation in creating data visualizations with R, and can help you get started on a career as an Actuary.

See salaries and explore the career path for Actuary

Epidemiologist

An Epidemiologist uses data to investigate the causes of disease outbreaks. Epidemiologists use data to track disease outbreaks, identify risk factors, and develop prevention strategies. This course can help you build a foundation in creating data visualizations with R, and can help you get started on a career as an Epidemiologist.

See salaries and explore the career path for Epidemiologist

Biostatistician

A Biostatistician uses data to answer questions about health and medicine. Biostatisticians use data to design clinical trials, analyze medical data, and develop new treatments. This course can help you build a foundation in creating data visualizations with R, and can help you get started on a career as a Biostatistician.

See salaries and explore the career path for Biostatistician

UX Designer

A UX Designer designs user interfaces for websites and apps. UX Designers use data to understand the needs of users, design user interfaces, and test user interfaces. This course can help you build a foundation in creating data visualizations with R, and can help you get started on a career as a UX Designer.

See salaries and explore the career path for UX Designer

Data Journalist

A Data Journalist uses data to tell stories. Data Journalists use data to investigate stories, create visualizations, and write articles. This course can help you build a foundation in creating data visualizations with R, and can help you get started on a career as a Data Journalist.

See salaries and explore the career path for Data Journalist

Machine Learning Engineer

A Machine Learning Engineer designs, develops, and maintains machine learning models. Machine Learning Engineers use data to train models that can predict future outcomes, recommend products, or even detect fraud. This course can help you build a foundation in creating data visualizations with R, and can help you get started on a career as a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Software Engineer

A Software Engineer designs, develops, and maintains software applications. Software Engineers use data to understand the needs of users, design user interfaces, and test software. This course can help you build a foundation in creating data visualizations with R, and can help you get started on a career as a Software Engineer.

See salaries and explore the career path for Software Engineer

Web Developer

A Web Developer designs, develops, and maintains websites. Web Developers use data to understand the needs of users, design user interfaces, and test websites. This course can help you build a foundation in creating data visualizations with R, and can help you get started on a career as a Web Developer.

See salaries and explore the career path for Web Developer

Data Engineer

A Data Engineer designs, develops, and maintains data pipelines. Data Engineers use data to move data from one system to another, transform data, and clean data. This course can help you build a foundation in creating data visualizations with R, and can help you get started on a career as a Data Engineer.

See salaries and explore the career path for Data Engineer

Reading list

We've selected 15 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Beginning Data Visualization with R.

R for Data Science

Save

Provides a comprehensive introduction to R for data science. It covers the basics of R, as well as more advanced topics such as data wrangling, statistical modeling, and machine learning. It's a valuable resource for anyone who wants to learn how to use R for data analysis.

Beginning Data Visualization with R

Here's a deal for you

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

Share

Similar courses