Learn Data Visualization with Python

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

• 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