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.

  • Python
  • 20 hours
  • 5 courses
1
Python Icon

Introduction to Data Visualization with Matplotlib

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

4 hours
Ariel Rokem

Senior Data Scientist, University of Washington

2
Python Icon

Introduction to Data Visualization with Seaborn

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

4 hours
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
Nicholas Strayer

Biostatistician at Vanderbilt

Instructors

Ariel Rokem

Senior Data Scientist, University of Washington

Erin Case

Data Scientist

Nicholas Strayer

Biostatistician at Vanderbilt

See all instructors

Ready To Learn?

Join 5,410,000 data science learners today!

Start Learning for Free

Maximize Your Team’s Talent

Join 100s of businesses and create a culture of data at your company!

© 2020 DataCamp Inc. All Rights Reserved.