Introducing Engineering Skills for Data Scientists (Summer Series)
A free 5-week series of practical articles to level up your engineering skills.
If you’ve been reading this newsletter for a while, you’ve noticed we’ve been going heavy on the topic of AI.
And for a good reason.
It’s where the field is moving, it’s where most of the demand is right now, and it’s the topic readers ask me about most.
But future-proofing your data science career takes more than AI skills.
The data scientists who actually ship things, who get their work out of the notebook and into production, share a foundation that nobody really talks about: engineering skills.
So starting Tuesday, I’m running a new free series on it.
What’s coming
5 articles, one per week, through mid-July. Each one focused on a specific skill that fills a real gap most data scientists have:
Pydantic, for data validation in MLOps and LLMOps
Testing and logging, so you actually know your code works
FastAPI, the cleanest way to turn a model into a service
Reproducible environments with uv, no more “works on my machine”
CI/CD for data scientists, automating the boring parts so your work actually ships
I’m keeping these practical. Concrete examples, code you can use, no shallow overviews.
The goal is that by the end of the series, you’ll have a real toolkit for shipping production code.
Get ahead this summer
Summer is usually the quietest stretch for data teams. Fewer urgent stakeholder requests, which means, finally, some room to actually learn something new.
So one article a week, little by little, through June and July.
Read it, try the techniques on a side project, and by the time Q3 picks up, you’ll have leveled up in an area most of your peers are still ignoring.
That’s the idea.
The first one drops on Tuesday, June 16.
A couple of other great resources:
🚀 Ready to take the next step? Get my free workshop on agentic analytics for data scientists.
🎥 Want to follow along on YouTube? I just launched a channel for data scientists. Subscribe, first video drops soon.
Thank you for reading! And hope you’re looking forward to this series as much as I am.
- Andres Vourakis
Before you go, please hit the like ❤️ button at the bottom of this email to help support me. It truly makes a difference!
Such an incredible resource!! Glad to have found this newsletter!