ABSTRACT for Claude Cowork for Data Scientists (Rescreening)
Friday, May 29, 2026 | 2:00-3:00pm EDT
Claude Cowork works a lot better once it's tuned to your data science workflow. Getting there takes time: learning the file structure, configuring the workspace, building out the skills layer... OR you can borrow some tested architecture and get started in minutes. That's an option too!
For this session, I've done that work for you. I'll walk through the setup, hand over the actual files I use, and show you how to adapt them to your own workflow. If you show up, you'll leave with a working setup.
The session covers the components that give Cowork persistent memory between sessions and keep it tuned to how you work (CLAUDE.md, memory.md, context references, skills, and more), and how to configure them for a data science workflow.
Attendees leave with Glen's "DS OS" starter files, ready to adapt to their own work.
This webinar is part of the AI Tools for Data Science & Stats series, sponsored by Polaris Data Labs and the ASA Section on Data Science and Statistical Learning.
Note: This session focuses on Cowork setup. For a practical tour of all three Claude tools, see our earlier webinar: "Claude Code, Cowork, & Chat." If you want to go further with Claude Code, check out our upcoming webinar: Claude Code for Data Scientists (June 4).
UPCOMING WEBINARS
[03b] Claude Cowork for Data Scientists (Rescreening)
Claude Cowork works way better when tuned to data science. I'll hand over the files, prompts, and architecture - and show you how to use them.
[05] Claude Code for Data Scientists
Claude Code runs a lot better once it knows your project structure, analysis workflow, and what you're trying to do. I'll show you my setup for building analysis, data science, and machine learning projects from scratch.
[06] An AI Setup for Data Science Consulting
Clients are asking for AI tools - and some are openly wondering if they still need you. I'll show you one Goldilocks setup where they get the benefit of your expertise and the ability to interrogate their data on demand.
[07] The Data Science Team of One
AI tools can act as a force multiplier for a solo data scientist. The key is being strategic about where you sit in the workflow and what actually gets multiplied. I'll show you what's worked for me.
PAST WEBINARS
[01] The AI Train Has Not Left the Station. (But Get On Board.)
The hardest part of using AI tools is taking the first step. Let's cut through the noise and get you started.
[02] Claude Code, Cowork, & Chat
If I had to pick just one AI tool, it would be Claude. But Claude is actually 3-in-1 - so let's walk through all of them.
[03] Claude Cowork for Data Scientists
Claude Cowork works way better when tuned to data science. I'll hand over the files, prompts, and architecture - and show you how to use them.
[04] Contextapalooza
Like a T-shirt cannon at a sports event, except everyone gets something useful. 11+ AI context files for data science work and the prompts to tune each one to your needs.
Hope to see you there!