Hey folks,
A quick reminder that our next webinar is next Thursday (June 25) at 2:30pm EDT: It's called "The Data Science Team of One" and looks at how AI tools change what a solo data scientist can deliver. You can sign up here: www.linkedin.com/events/7461947695109292032
These webinars are free and open to everyone - if you know someone who'd find this useful, feel free to forward or repost.
MAILING LIST
ABSTRACT
[07] The Data Science Team of One
Thursday, June 25, 2026 | 2:30-3:30pm EDT
AI tools have substantially expanded what a single data scientist can deliver. Work that stretched a team is increasingly within reach for one person...and done well.
I'll walk through what I've seen work in practice: where AI has the biggest multiplier effects in a data science workflow, and where people should stay in the loop. The short answer: everywhere. The key is knowing how to triage it.
If you're trying to figure out what AI actually changes about data science capacity, this could be a good place to start.
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: If you're interested in how this applies to a consulting engagement with a client in the loop, check out our previous webinar: An AI Setup for Data Science Consulting (June 11).
UPCOMING WEBINARS
[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. My favorite context files + the prompts to get AI to tune each one to your situation.
[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.
Hope to see you there!
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Glen Wright Colopy
DPhil Oxon
Head of Data Science | Polaris Data Labs |
https://polarisdatalabs.com/Head of Data Science | IGOR - Your Personal Lab Assistant |
https://www.igorlabapp.com/------------------------------