Ask the Box Score Anything: Natural Language Queries with querychat
Point a chat interface at a real dataset and ask it questions in plain English. Wire up querychat, ground the model in your actual schema, and see where natural language querying holds up and where it needs guardrails.
- Free · live
- Wednesday September 9
- 09:00-10:15 EDT · 15:00-16:15 CEST
- 75 minutes
- Intermediate
- Live seat, no card
Three people this session was built for.
You analyze, but the questions arrive faster than you can query
Coaches, managers, and colleagues ask you things all day, and every answer costs you a query you write by hand. You leave with a pattern for letting them ask the data directly, safely.
You are technical, but LLM tooling still feels like a demo
You have seen the demos and do not trust them with real data. This session is the un-demo: a working build against a real dataset, including where the pattern breaks and what the guardrails are.
You are deciding whether this stack is worth your learning time
One free session, one real build, taught live by someone who does this work. You will know by the end of the hour whether this belongs on your roadmap.
From Plain English Question to Real Query
querychat sits between a person and a dataset. Someone types a question in plain English, the model writes the query, and the app returns results from the real data rather than from the model's memory. This session wires that path end to end against a live dataset, then works the edges: how grounding the model in your actual schema keeps answers honest, and where the pattern still needs guardrails before you hand it to someone non-technical.
You will watch this get built
- A chat interface that answers questions about your data in plain English
- A querychat app wired to a real dataset, running locally
- A reusable pattern for adding natural-language querying to any project
You will leave knowing
- How querychat turns plain-English questions into real queries
- How to ground an LLM in your actual data so answers stay accurate
- Where natural-language querying helps and where it needs guardrails
- How to give non-technical users a safe way to explore data
Taught live by the person who does the work.
The people on the other side of the table.
I've always been intrigued by the intersection of sports analytics and data science. AthlyticZ provides students with the perfect platform to explore this passion. The hands-on projects are particularly empowering, allowing them to apply theoretical concepts to real-world scenarios.
AthlyticZ has completely transformed the learning approach to data science through the use of sports-based problems. The instructors are the best of the best, and the practical projects have immediate impact to students.
The sports industry moves fast. Managing the pace of evolving technology, data, and AI isn't optional - it's imperative. Our Analytics team was looking for a partner to meet us where we are, to help us in the continued investment of our people and capabilities without pulling us away from the work that matters. AthlyticZ delivers exactly that: a structured, practitioner-led platform that fits how modern sports analytics groups actually operate.
We've teamed up with AthlyticZ to supercharge how we use data science and statistics to impact our sports. More clarity in the numbers means bigger results for our athletes.
Official Posit Managed Services Partner
- 1,000+ lessons of production-grade curriculum
- 23 working practitioners
- Live masterclasses every week, across six tracks
- 120+ live sessions a year
One free hour. Here is the whole deal.
- Date · Wednesday September 9
- Time · 09:00-10:15 EDT · 15:00-16:15 CEST
- Length · 75 minutes
- Cost · Free
- Format · Live, 75 minutes, questions in the room
Save your seat.
Form not loading? Email [email protected] with the session name and we will register you by hand.
Questions people actually ask.
Is it actually free?
Yes. Attending live is free, and there is no card involved. You register so we can send you the join link.
What do I need?
A browser and the join link we send you. There is nothing to install to attend.
What if I cannot make it live?
Register anyway. Afterwards we send you our write-up of what got built, and the invitation to the next session. Attending live is the free part; everything that outlives the hour belongs to the Masterclass.
What level is this?
The session page states the level under the title. Sessions are taught as live builds, so watching the decisions get made is useful one level up and one level down from the stated one.
What happens after I register?
You get a confirmation with a calendar link now, the join link before the session, and our write-up of what got built afterwards. That is the whole of it.