In this second workshop in our three-part series on AI for Coding, participants will work with AI tools to generate visualizations during hands-on activities. Learn to use the Cursor IDE to create charts in Python using the Matplotlib library, and explore a range of plot types. 

What you will learn:

• How to describe visualizations to AI
• When to use bar plots, scatter plots, and box plots
• Generate Python code by talking to Cursor
• Build charts by specifying what you want, not syntax

About the series: AI for Coding: Data Analysis with Cursor consists of three 30-minute workshops designed to help you use Large Language Models (LLMs) to support exploratory data analysis. We will introduce fundamental concepts, practice breaking down problems into actionable components, and use the Cursor IDE to integrate AI and code more efficiently. Each workshop focuses on a single topic with 30 minutes of teaching, followed by an optional 15 minutes for questions, discussion, and practice.

The coding examples will be in Python but the principles apply to other programming languages including R. Beginners are welcome; participants who have some experience coding in Python or R will find it easier to follow along.

Register for other workshops in the series:

1.  Fundamentals of LLMs - April 9, 2026, 1-1:45pm
2.  Data Analysis & Visualization - April 16, 2026, 1-1:45pm
3.  Building with Cursor - April 23, 2026, 1-1:45pm