• Date and Time: 3:00–4:30PM, Thursday, March 5, 2026
• Location: Velma Denning Room (120F), Bing Wing, Green Library
• Lead Instructor: Dr. Jooyeon Hahm (Head of Data Science Training & Consultation)

Learn to transform your data into clear, effective visualizations by mastering the fundamentals of data visualization and matplotlib syntax, with AI as your coding assistant. This hands-on workshop emphasizes core visualization principles and practical matplotlib skills, teaching you when and why to use different chart types (bar charts, line plots, scatter plots, histograms, and more), how to make design choices that enhance clarity (color, layout, labels, and annotations), and common visualization mistakes to avoid. You'll learn matplotlib's syntax and structure, including its object-oriented approach (figures, axes, subplots), essential plotting commands and customization options. Throughout the workshop, you'll leverage AI tools like Stanford's AI Playground to accelerate your coding by crafting effective prompts for specific visualization needs, iterating and refining AI-generated code, and debugging outputs.

Bring Your Own Data (BYOD)! This workshop works best when you apply concepts to your own datasets. Bring a dataset you'd like to visualize, or use provided sample data. Expect hands-on practice creating visualizations with guided AI assistance.