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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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
Erin Case Headshot

Erin Case

Data Scientist

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
Interactive Data Visualization with Bokeh
Learn how to create versatile and interactive data visualizations using Bokeh.
4 hours
Team Anaconda Headshot

Team Anaconda

Data Science Training

5
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

Instructors