Skip to main content
HomeData VisualizationData Visualization
skill track

Data Visualization with 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.

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

Instructors

FAQs

Join over 13,450,000 learners and start Data Visualization with 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.