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Codecademy

Data Visualization with Python: Seaborn

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Overview

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Turn pandas DataFrames into publication-ready visualizations using Seaborn.
Continue your Data Visualization with Python learning journey. In this course, you will learn how to use the Seaborn library to turn Pandas DataFrames into publishable data visualizations.


* Create bar and line charts

* Create scatterplots and histograms

* Use Seaborn's built-in features

* Annotate charts with error bars and text


### Notes on Prerequisites
We recommend that you complete [Data Visualization with Python: Visual Arguments](https://codecademy.com/learn/data-visualization-with-python-visual-arguments) before completing this course.

Syllabus

  • Seaborn: Learn to make effective, customized data visualizations in Python with Seaborn.
    • Lesson: Make Charts with Seaborn
    • Lesson: Modify Chart Parameters with Seaborn
    • Project: Make Publishable Charts with Seaborn
    • Quiz: Intro to Seaborn
    • Informational: Next Steps

Taught by

Alex DiStasi

Reviews

4.6 rating at Codecademy based on 22 ratings

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