Skip to main content
HomePython
skill track

Data Visualization in Python

Supercharge your data science skills by learning how to create data visualization in Python. Over four courses and one assessment, you’ll explore Python's most popular and robust data visualization libraries, including Matplotlib, Seaborn, Bokeh, and others, to create beautiful static and interactive visualizations of categorical, aggregated, and geospatial data. Along the way, you’ll develop the essential skills to create informative visualizations that can showcase your data, giving you the confidence to create your own data visualizations with Python. Data visualization is fast becoming an essential skill in industries as diverse as finance, education, healthcare, retail, and more. This track will help you develop practical Python data visualization skills to apply across various data-driven roles, helping you tell stories with your data.

PythonClock16hrsLearn4 coursesApply1 projectTrophyStatement of Accomplishment

Create Your Free Account

GoogleLinkedInFacebook

or

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

Training 2 or more people?

Try DataCamp for Business

Loved by learners at thousands of companies

1
Python
Introduction to Data Visualization with Matplotlib

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

4 hours

Ariel Rokem Headshot

Ariel Rokem

Senior Data Scientist, University of Washington

2
Python
Introduction to Data Visualization with Seaborn

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

4 hours

DataCamp Content Creator

Course Instructor

3
Python
Improving Your Data Visualizations in Python

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

4 hours

Nicholas Strayer Headshot

Nicholas Strayer

Biostatistician at Vanderbilt

4
Python
Visualizing Geospatial Data in Python

Learn how to make attractive visualizations of geospatial data in Python using the geopandas package and folium maps.

4 hours

Mary van Valkenburg Headshot

Mary van Valkenburg

Data Science Program Manager at Nashville Software School

5
Python
Data Visualization with Python
6
Python
Compare Baseball Player Statistics using Visualizations

Use MLB's Statcast data to compare New York Yankees sluggers Aaron Judge and Giancarlo Stanton.

2 hours

Jasmin Ludolf Headshot

Jasmin Ludolf

Data Science Content Developer, DataCamp

Sparkles AI ASSISTANTSign up to use the AI AssistantOur AI assistant is free to use for all registered users. Sign up or login to access the assistant and boost your learning experience.
Discover
For Business

GroupTraining 2 or more people?

Get your team access to the full DataCamp platform, including all the features.
DataCamp for BusinessFor a bespoke solution book a demo.

Instructors

FAQs

Join over 15,080,000 learners and start Data Visualization in Python today!

Create Your Free Account

GoogleLinkedInFacebook

or

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