This is a hands-on, project-based course designed to help you learn two of the most popular Python packages for data visualization: Matplotlib and Seaborn.
Get a quick introduction to data visualization frameworks and best practices, and review essential visuals, common errors, and tips for effective communication and storytelling.
Explore Matplotlib fundamentals and building and customizing line charts, bar charts, pies and donuts, scatterplots, histograms, and more. Break down the components of a Matplotlib figure, apply common chart formatting techniques, and leverage more advanced customization options like subplots, GridSpec, style sheets, and parameters. Finally, learn the basics of building charts and using visuals in the Seaborn library.
Throughout the course, you’ll play the role of a consultant at Maven Consulting Group, where you can practice applying your skills to a range of real-world projects and case studies.
Note: This course was created by Chris Bruehl and Maven Analytics. We are pleased to host this training in our library.
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