Intermediate Data Visualization with Seaborn
Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.
- 4 hours
- 13 Videos
- 50 Exercises
- 18,994 Participants
- 4,200 XP
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Course Description
Do you want to make beautiful, informative visualizations with ease? If so, then you must learn seaborn! Seaborn is a visualization library that is an essential part of the python data science toolkit. In this course, you will learn how to use seaborn's sophisticated visualization tools to analyze multiple real world datasets including the American Housing Survey, college tuition data, and guests from the popular television series, The Daily Show. Following this course, you will be able to use seaborn functions to visualize your data in several different formats and customize seaborn plots for your unique needs.
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1
Seaborn Introduction
FreeIntroduction to the Seaborn library and where it fits in the Python visualization landscape.
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Additional Plot Types
Overview of more complex plot types included in Seaborn.
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Customizing Seaborn Plots
Overview of functions for customizing the display of Seaborn plots.
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Creating Plots on Data Aware Grids
Using Seaborn to draw multiple plots in a single figure.
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1
Seaborn Introduction
FreeIntroduction to the Seaborn library and where it fits in the Python visualization landscape.
-
Customizing Seaborn Plots
Overview of functions for customizing the display of Seaborn plots.
-
Additional Plot Types
Overview of more complex plot types included in Seaborn.
-
Creating Plots on Data Aware Grids
Using Seaborn to draw multiple plots in a single figure.
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Chris Moffitt
Creator of Practical Business Python
Chris is an active python user with over ten years of experience using python for everything from web development to system administration and most recently data science. He is the author of the popular blog Practical Business Python where he describes how to use python's data science tools to solve common business problems. He has degrees in Electrical Engineering and Computer Science from Vanderbilt University and an MBA from the University of Minnesota.
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Collaborators
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Kara Woo
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Becca Robins
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Sara Snell