CS 06 — An Introduction to Data Visualization with Python
Course Format: Live Online (About Formats)
Duration: 10 weeks
Date(s): Sep 22—Dec 1
Time: 7:00—8:50 pm (PT)
Drop Deadline: Sep 24
Instructor(s): Charlie Flanagan
Live Online(About Formats)
7:00—8:50 pm (PT)
Sep 22—Dec 1
In today’s world, being able to tell a story with data is essential. This course will teach students how to create and publish stunning data visualizations and interactive graphics using the latest open source tools. In addition to lectures and labs, guest speakers who are data visualization experts from leading tech companies will show how they leverage the tools we will use in class. We will begin with an introduction to loading and pre-processing data using Python and SQL. We will survey the ecosystem of visualization tools, explaining the pros and cons of each, reviewing the different visualization chart types, and discussing what each is best at conveying. We will then move to creating visualizations using popular open source libraries such as Matplotlib and Seaborn. We will also try out Altair, an open source package that will allow us to build interactive and connected visualizations. The course will consist of lectures, live coding demonstrations, hands-on practice, and guest speakers. We will hold lab sections each week after class so students can apply their learning to their own projects, with help from the instructor. Students will finish the course with a portfolio of visualizations that they understand deeply and can leverage going forward.
Previous basic coding experience will be helpful but not essential as we will be editing existing code.