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CS 06 — Introduction to Data Visualization with Python

Quarter: Fall
Day(s): Tuesdays
Course Format: Live Online (About Formats)
Duration: 8 weeks
Date(s): Oct 11—Dec 6
Time: 7:00—8:50 pm (PT)
Refund Deadline: Oct 13
Unit: 1
Tuition: $475
Instructor(s): Charlie Flanagan, Anja Lee
Class Recording Available: Yes
Status: Registration opens Aug 22, 8:30 am (PT)
Please Note: No class on November 22
Live Online(About Formats)
7:00—8:50 pm (PT)
Oct 11—Dec 6
8 weeks
Refund Date
Oct 13
1 Unit
Charlie Flanagan, Anja Lee
Registration opens Aug 22, 8:30 am (PT)
Please Note: No class on November 22
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.

We will begin with an introduction to loading and preprocessing 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 who are data visualization experts from leading tech companies. 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.

Some previous basic coding experience will be helpful but is not required as we will be editing existing code.

Data Scientist, Google

Charlie Flanagan spent 10 years as a quantitative analyst in the financial industry before coming to Google. He received an MS in software engineering from Harvard and an MBA from Columbia and is a chartered financial analyst (CFA).

Data Professional

Anja Lee has spent her career building data technologies and software for the gaming, finance, adtech, and neuroscience research industries. She received an MS in computer science from NYU's Courant Institute and is a practicing executive coach certified by UC Berkeley.