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Data Visualization Courses

Learn to create data visualizations, an essential part of finding and communicating insights from data, that help businesses make better decisions and drive growth. Companies worldwide need people who know how to turn raw data into visualizations that are accessible and get straight to the heart of the issue.

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The Best Courses for Learning Data Visualization

   

Man sitting doing data visualization on laptop.

DataCamp is home to a comprehensive range of online data visualization courses. 

Learn how to turn data into powerful visual storytelling devices with programs and platforms such as Power BI, Tableau, and spreadsheets. Or discover how R and Python can help you make publication-ready graphics in a few short lines of code.

Whether you’d like to delve into Interactive Data Visualization with Bokeh and move beyond static graphics, gain a code-free introduction in Data Visualization for Everyone, or somewhere in between, we’ve got you covered. 

With more than 30 data visualization courses taught by leading experts and covering a variety of popular technologies, you’ll be telling better stories with data in no time.

Man sitting doing data visualization on laptop.

Data Visualization Courses for Beginners

Your next promotion might just be one helpful visualization away: make your reports stand out from the crowd or showcase your advanced spreadsheet (and business intelligence) skills with DataCamp’s Data Visualization in Spreadsheets.

Want to use code to do more with data? Apply your Python knowledge to a new field with Introduction to Data Visualization with Matplotlib. Or, after taking Introduction to R,  see what base graphics can do for you in Data Visualization in R.

Python

Introduction to Data Visualization with Matplotlib

Learn how to create, customize, and share data visualizations using Matplotlib.

Clock4 hours
Ariel Rokem Headshot

Ariel Rokem

Senior Data Scientist, University of Washington

R

Introduction to Data Visualization with ggplot2

Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.

Clock4 hours
Rick Scavetta Headshot

Rick Scavetta

Rick Scavetta is a co-founder of Scavetta Academy.

Python

Introduction to Data Visualization with Seaborn

Learn how to create informative and attractive visualizations in Python using the Seaborn library.

Clock4 hours
Erin Case Headshot

Erin Case

Data Scientist

Theory

Data Visualization for Everyone

An introduction to data visualization with no coding involved.

Clock2 hours
Richie Cotton Headshot

Richie Cotton

Curriculum Architect at DataCamp

Tableau

Introduction to Tableau

Get started with Tableau, a widely used business intelligence (BI) and analytics software to explore, visualize, and securely share data.

Clock6 hours
Hadrien Lacroix Headshot

Hadrien Lacroix

Curriculum Manager at DataCamp

Power BI

Introduction to Power BI

Gain a 360° overview of how to explore and use Power BI to build impactful reports.

Clock3 hours
Sara Billen Headshot

Sara Billen

Curriculum Manager at DataCamp

R

Data Visualization in R

This course provides a comprehensive introduction to working with base graphics in R.

Clock4 hours
Ronald Pearson Headshot

Ronald Pearson

PhD in Electrical Engineering and Computer Science from M.I.T.

Tableau

Creating Dashboards in Tableau

Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.

Clock4 hours
Hadrien Lacroix Headshot

Hadrien Lacroix

Curriculum Manager at DataCamp

R

Communicating with Data in the Tidyverse

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

Clock4 hours
Timo Grossenbacher Headshot

Timo Grossenbacher

Project Lead Automated Journalism at Tamedia

Python

Building Dashboards with Dash and Plotly

Learn how to build interactive and insight-rich dashboards with Dash and Plotly.

Clock4 hours
Alex Scriven Headshot

Alex Scriven

Data Scientist @ New South Wales Government

Data Visualization Courses with Python

Python boasts an impressive range of data visualization libraries. Explore sophisticated statistical graphics in Intermediate Data Visualization with Seaborn, or generate engaging and interactive graphs (without the complex code) in Introduction to Data Visualization with Plotly.

DataCamp teaches you the same techniques and tools that expert data scientists use. We’re your shortcut to better Python data visualizations, a critical skill in both business and data analytics.

Python

Building Dashboards with Dash and Plotly

Learn how to build interactive and insight-rich dashboards with Dash and Plotly.

Clock4 hours
Alex Scriven Headshot

Alex Scriven

Data Scientist @ New South Wales Government

Python

Introduction to Data Visualization with Plotly in Python

Create interactive data visualizations in Python using Plotly.

Clock4 hours
Alex Scriven Headshot

Alex Scriven

Data Scientist @ New South Wales Government

Python

Intermediate Data Visualization with Seaborn

Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.

Clock4 hours
Chris Moffitt Headshot

Chris Moffitt

Creator of Practical Business Python

Python

Improving Your Data Visualizations in Python

Learn to construct compelling and attractive visualizations that help communicate results efficiently and effectively.

Clock4 hours
Nicholas Strayer Headshot

Nicholas Strayer

Biostatistician at Vanderbilt

Python

Interactive Data Visualization with Bokeh

Learn how to create interactive data visualizations, including building and connecting widgets using Bokeh!

Clock4 hours
George Boorman Headshot

George Boorman

Core Curriculum Manager, DataCamp

Data Visualization Courses with R

Data-driven insights are only valuable if they’re well visualized and communicated. R is dynamic, flexible, and purpose-built for data analysis and graphics. 

DataCamp offers more than 20 visualization courses with R, including Communicating with Data in the Tidyverse, Visualizing Big Data with Trelliscope in R, and many others. 

Fine-tune your skills or learn some new ones. Either way, make R work harder for you by discovering its powerful visualization potential.

R

Data Visualization in R

This course provides a comprehensive introduction to working with base graphics in R.

Clock4 hours
Ronald Pearson Headshot

Ronald Pearson

PhD in Electrical Engineering and Computer Science from M.I.T.

R

Intermediate Data Visualization with ggplot2

Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.

Clock4 hours
Rick Scavetta Headshot

Rick Scavetta

Rick Scavetta is a co-founder of Scavetta Academy.

R

Communicating with Data in the Tidyverse

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

Clock4 hours
Timo Grossenbacher Headshot

Timo Grossenbacher

Project Lead Automated Journalism at Tamedia

R

Visualization Best Practices in R

Learn to effectively convey your data with an overview of common charts, alternative visualization types, and perception-driven style enhancements.

Clock4 hours
Nicholas Strayer Headshot

Nicholas Strayer

Biostatistician at Vanderbilt

R

Interactive Data Visualization with plotly in R

Learn to create interactive graphics entirely in R with plotly.

Clock4 hours
Adam Loy Headshot

Adam Loy

Assistant Professor of Statistics at Carleton College

R

Interactive Data Visualization with rbokeh

Learn rbokeh: a visualization library for interactive web-based plots.

Clock4 hours
Omayma Said Headshot

Omayma Said

Data Scientist

R

Data Visualization with lattice in R

Learn to visualize multivariate datasets using lattice graphics.

Clock4 hours
Deepayan Sarkar Headshot

Deepayan Sarkar

Member of R-Core & the creator of lattice

Popular Data Visualization Courses

Millions of businesses around the globe rely on Power BI and Tableau, both dedicated analytics and visualization tools for business intelligence. Power up your resume and successfully court these companies with our popular Data Visualization in Power BI course. 

Or learn how dashboard skills, a firm staple in our data-driven world, can help you get ahead with Creating Dashboards in Tableau.

Power BI

Introduction to Power BI

Gain a 360° overview of how to explore and use Power BI to build impactful reports.

Clock3 hours
Sara Billen Headshot

Sara Billen

Curriculum Manager at DataCamp

Tableau

Introduction to Tableau

Get started with Tableau, a widely used business intelligence (BI) and analytics software to explore, visualize, and securely share data.

Clock6 hours
Hadrien Lacroix Headshot

Hadrien Lacroix

Curriculum Manager at DataCamp

R

Data Visualization in R

This course provides a comprehensive introduction to working with base graphics in R.

Clock4 hours
Ronald Pearson Headshot

Ronald Pearson

PhD in Electrical Engineering and Computer Science from M.I.T.

Tableau

Creating Dashboards in Tableau

Dashboards are a must-have in a data-driven world. Increase your impact on business performance with Tableau dashboards.

Clock4 hours
Hadrien Lacroix Headshot

Hadrien Lacroix

Curriculum Manager at DataCamp

Power BI

Data Visualization in Power BI

Power BI is a powerful data visualization tool that can be used in reports and dashboards.

Clock3 hours
Kevin Feasel Headshot

Kevin Feasel

CTO, Envizage

R

Communicating with Data in the Tidyverse

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communicate your results.

Clock4 hours
Timo Grossenbacher Headshot

Timo Grossenbacher

Project Lead Automated Journalism at Tamedia

R

Interactive Maps with leaflet in R

Learn how to produce interactive web maps with ease using leaflet.

Clock4 hours
Rich Majerus Headshot

Rich Majerus

Assistant Vice President at Colby College

Python

Building Dashboards with Dash and Plotly

Learn how to build interactive and insight-rich dashboards with Dash and Plotly.

Clock4 hours
Alex Scriven Headshot

Alex Scriven

Data Scientist @ New South Wales Government

Practice Data Visualization with Templates, Tutorials, and Cheat Sheets

Sharpen your storytelling by practicing your new data visualization skills. DataCamp is home to a digital library of in-depth tutorials and cheat sheets that support your learning and help you make graphics with impact.

Don’t forget to take advantage of our data visualization templates. These pre-written coding recipes are your shortcut to easily digestible, yet data-rich, reports. Whether it’s creating a heat map or visualizing clusters with K-Means, DataCamp has you covered.

Python

Python Data Visualization: Bokeh Cheat Sheet

A handy cheat sheet for interactive plotting and statistical charts with Bokeh.

Karlijn Willems Headshot

Karlijn Willems

Python

Matplotlib Cheat Sheet: Plotting in Python

This Matplotlib cheat sheet introduces you to the basics that you need to plot your data with Python and includes code samples.

Karlijn Willems Headshot

Karlijn Willems

Python Seaborn Cheat Sheet

This Python Seaborn cheat sheet with code samples guides you through the data visualization library that is based on Matplotlib.

Karlijn Willems Headshot

Karlijn Willems

Tableau

Data Visualisation with Tableau

In this tutorial, you will learn how to analyze and display data using Tableau and make better, more data-driven decisions.

Parul Pandey Headshot

Parul Pandey

Power BI

Data Visualization with Power BI

Learn how to analyze and display data using Power BI and make better, more data-driven decisions.

Parul Pandey Headshot

Parul Pandey

Python

Altair in Python Tutorial: Data Visualization

Learn how to create data visualizations in Python using Altair and a Movies Dataset.

Sejal Jaiswal Headshot

Sejal Jaiswal

R

Visualize Missing Data with VIM Package

Learn to use data visualization tools provided by the VIM package to gain quick insights into the missing data patterns.

Michał Oleszak Headshot

Michał Oleszak

Data Visualization Course FAQs

What is data visualization used for?

To tell stories with data in a format that is easy to understand. Nobody really enjoys looking at rows and columns of figures, for instance. But if we turn this information into a graphical representation, say a scatter plot or a bar graph, it’s much easier for people to understand the relationship between the qualities we’re representing and our findings.

Data visualizations are found in newspapers, business reports, academic studies, and in many other contexts. With data visualizations, we can condense a lot of information into a smaller area and make it accessible. Visualizations also make it easier to see patterns and differences between variables, even when a table of data or the averages may appear very similar.

Are data visualization skills in demand?

Yes. In 2021, labor market analytics firm Emsi reported that demand for people with data visualization skills was increasing steadily across multiple sectors. 

As the business world moves towards greater digitalization (the adoption of digital technologies to capture and analyze data to drive business decision-making), the demand for data skills, in general, is increasing. Because not everyone can ‘read’ data in its standard formats, data visualization has an important role to play in this shift to digitalization.

Do I need to know Python to be good at data visualization?

No. Python is not your only option: the programming language R is also a popular choice for creating masterful data visualizations. 

Additionally, if you’d like to avoid programming languages altogether, there are dedicated programs such as Tableau that can help you create powerful data visualizations. Excel and spreadsheets are also popular options that require minimal technical skill.

What are the most popular data visualization tools?

  • Python and its related packages such as Matplotlib and Seaborn
  • R, which was specifically designed for statistical analysis and data visualizations, alongside R tools such as plotly, ggplot2, and lattice
  • Power BI
  • Tableau
  • Excel and spreadsheets

DataCamp offers introductory courses for each of these popular data visualization tools, as well as courses that cover specific data visualization techniques using each technology or its packages.

Do I need to download data visualization software to learn on Datacamp?

No, we provide everything you need right in your browser. Whether you’re learning data visualization with DataCamp’s online courses in Tableau, Power BI, or Python, all you need to bring is your computer and a reliable internet connection.

If you’re taking data visualization with Tableau, you might want to download the software, but it’s not required.

What is the difference between a free account and a subscription?

Full access to DataCamp’s range of online data visualization courses, the full library of practice projects, and portfolio-boosting templates that will help you position yourself as a data visualization pro. 

You can also earn DataCamp statements of achievement, shareable proof that you’re dedicated to upskilling your data literacy.

With a free account, you can take the first chapter of every online data visualization course, access some of our resources, and chat with other DataCampers in our community groups.