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skill track

Data Visualization with Python

Supercharge your data science skills using Python's most popular and robust data visualization libraries. Learn how to use Matplotlib, Seaborn, Bokeh, and others to create beautiful static and interactive visualizations of categorical, aggregated, and geospatial data.

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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
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