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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Data visualization 2x

Python
20 hours
5 Courses

1

Introduction to Matplotlib

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

4 hours

Ariel Rokem

Senior Data Scientist, University of Washington
2

Introduction to Seaborn

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

4 hours

Erin Case

Data Scientist
3

Improving Your Data Visualizations in Python

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

4 hours

Nicholas Strayer

Biostatistician at Vanderbilt
4

Interactive Data Visualization with Bokeh

Learn how to create versatile and interactive data visualizations using Bokeh.

4 hours Play preview

Team Anaconda

Data Science Training
5

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

Data Science Program Manager at Nashville Software School
Statement of accomplishment

See all 5 courses

Ariel Rokem

Senior Data Scientist, University of Washington

Nicholas Strayer

Biostatistician at Vanderbilt

Team Anaconda

Data Science Training

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