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Codecademy

Learn Data Visualization with Python

via Codecademy

Overview

Learn to make effective, customized data visualizations in Python with Matplotlib and Seaborn.

Data visualization is a powerful tool for understanding and communicating data. This course walks through how to leverage Matplotlib and Seaborn to make effective, appealing visualizations – from choosing the right chart type for the data, to correctly scaling axes for truth and accuracy, to building an argument through visual choices.


* Make and customize 5+ types of data visualizations

* Display data with truth and accuracy

* Improve data visualizations through effective visual choices

* Learn the basics of Matplotlib and Seaborn

Syllabus

  • Data Visualization with Python: Getting Started: Learn the basics of data visualization in Python starting with matplotlib and seaborn.
    • Informational: Welcome to Data Visualization with Python!
  • Matplotlib Fundamentals: Learn to make effective, customized data visualizations in Python with Matplotlib.
    • Lesson: Make a Line Chart
    • Project: Make a Line Chart for Research
    • Lesson: Make the Other Charts
    • Project: Make the Other Charts: Silly's Ice Cream Shop Project
    • Quiz: MPL Fundamentals
  • Making a Visual Argument in matplotlib: Learn to make effective, thoughtfully-designed data visualizations in Python with Matplotlib.
    • Lesson: Making a Visual Argument
    • Project: Making A Visual Argument: Compare Grammy Win Records
    • Quiz: Visual Argument Quiz
  • Seaborn Fundamentals: 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
  • Data Visualization with Python: Next Steps: You’ve completed the Data Visualization in Python course! What’s next?
    • Informational: Data Visualization in Python: Next Steps

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