Game-Day Automation: Pipelines That Run Themselves with GitHub Actions
Stop running the same script every Monday. Build a scheduled GitHub Actions workflow that pulls, processes, reports and commits on its own, with secrets handled properly and failures that tell you what broke.
- Free · live
- Friday September 25
- 13:00-14:15 EDT · 19:00-20:15 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.
The Job You Should Not Be Running by Hand
There is usually one script that gets run every Monday morning, or after every game, or at the end of every week. It works, and it takes twenty minutes of someone's attention every single time. This session moves that job onto GitHub Actions: scheduled, committing its own output, handling credentials properly, and failing in a way that tells you what broke instead of going quiet.
You will watch this get built
- A scheduled GitHub Actions workflow that runs your recurring job automatically
You will leave knowing
- What GitHub Actions is and when it beats doing it by hand
- Automating recurring R and data jobs on a schedule
- A workflow that runs, reports, and commits its results
- Handling secrets and failures without surprises
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 · Friday September 25
- Time · 13:00-14:15 EDT · 19:00-20:15 CEST
- Length · 75 minutes
- Cost · Free
- Format · Live, 75 minutes, questions in the room
Save your seat.
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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.