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Course Description

In this course, you will begin to create data visualizations in Python. You will do this by exploring the array of visual tools available in Matplotlib, a Python package designed with straightforward code techniques to make effective visualizations of data sets. You’ll start by examining visualization libraries to determine the styles that best meet the needs of your data. You will then examine some simple approaches to efficiently utilize the Matplotlib documentation. Finally, you will create several plot types in Python, applying best practices and design principles in order to clearly and accurately communicate the story contained in your data. At the end of this course, you will be able to create and customize your own visualizations with minimal programming experience required.

Faculty Author

David Gold, Pat Reed

Benefits to the Learner

  • Use Python-based Matplotlib to create a basic plot
  • Use Python to customize several different plot types, including advanced subplot visualizations
  • Apply visualization best practices to your plot to clearly and accurately communicate your data

Target Audience

  • Data scientists
  • Business analysts
  • Engineers
  • Programmers
  • Technical and engineering leaders
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Cornell of Engineering
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