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.

Join
  • Python
  • 20 hours
  • 5 courses
1
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Introduction to Matplotlib

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

4 hours
Photo of Ariel Rokem
Ariel Rokem

Senior Data Scientist, University of Washington

2
Python Icon

Introduction to Seaborn

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

4 hours
Photo of Erin Case
Erin Case

Data Scientist

3
Python Icon

Improving Your Data Visualizations in Python

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

4 hours
Photo of Nicholas Strayer
Nicholas Strayer

Biostatistician at Vanderbilt

Instructors

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Ariel Rokem

Senior Data Scientist, University of Washington

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Erin Case

Data Scientist

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Nicholas Strayer

Biostatistician at Vanderbilt

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