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Intermediate Data Visualization with Seaborn

Use Seaborn's sophisticated visualization tools to make beautiful, informative visualizations with ease.

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4 Hours13 Videos50 Exercises56,992 Learners4200 XPData Scientist with Python TrackData Scientist Professional with Python Track

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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.
  1. 1

    Seaborn Introduction

    Free

    Introduction to the Seaborn library and where it fits in the Python visualization landscape.

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    Introduction to Seaborn
    50 xp
    Seaborn foundation
    50 xp
    Reading a csv file
    100 xp
    Comparing a histogram and displot
    100 xp
    Using the distribution plot
    50 xp
    Plot a histogram
    100 xp
    Rug plot and kde shading
    100 xp
    Interpreting the results
    50 xp
    Regression Plots in Seaborn
    50 xp
    Create a regression plot
    100 xp
    Plotting multiple variables
    100 xp
    Facetting multiple regressions
    100 xp

In the following tracks

Data Scientist with PythonData Scientist Professional with Python

Collaborators

Kara Woo
Becca Robins
Sara Snell
Chris Moffitt Headshot

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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