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AI for Coding: Building with Cursor

In the third and final workshop of our AI for Coding series participants will step through a simple data analysis workflow using the Cursor IDE. Learn to load, clean, summarize, and plot data with prompts, and to generate a script to replicate your work.  

What you will learn:

  • How to use Cursor Chat to write real analysis code
  • Build a complete workflow from data → summary → visualization
  • Quick debugging tips when things go wrong


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
Date:
Thursday, April 23, 2026
Time:
1:00pm - 1:45pm
Audience:
  All     Graduate  
Categories:
  Data     Research Commons  
Presenter(s):
Grigory Artazyan, Milan Simić

Registration is required. There are 30 seats available.

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Presenter(s)

Grigory Artazyan, Milan Simić

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