
Weekly Data Science, What you’ll find here: • Real-world data science & AI use cases (beyond textbooks) • Lessons from building and scaling data-driven products • Practical guidance on experiments, metrics, and decision-making
| Platform | Pricing | Only free issues | Publishes | Daily | |
|---|---|---|---|---|---|
| Issues | 31 | Founded | 2 years ago | Last Issue | 4 months ago |
| Active | |||||

The more I work with data, the less impressed I am by loud opinions.
Early in my career, I used to mistake certainty for competence.
The people who spoke the fastest felt like the smartest ones in the room.
Then I started working closely...
I Spent All of 2025 Learning AI So You Don’t Have To
After spending an entire year deep-diving into AI, I’ve compiled the ultimate learning path for anyone wanting to master artificial intelligence in 2026. Whether you’re a complete beginn...
I came from a statistics background, not computer science. When I entered tech, I felt like I was speaking a different language. Everyone around me had written code since high school, built side projects, and casually referenced systems I'd...
One of the most underrated skills in data science isn’t modeling or SQL.
It’s communication.
You can build the most sophisticated model in the world, but if stakeholders don’t understand it, trust it, or know how to act on it, it won’t cr...
Welcome to the DATA SCIENCE EXPERIMENTS SERIES
Previously we discussed,
Day 1: Design of an experiment https://weeklydatascience.substack.com/p/uber-interviewer-askedhow-do-you
Day 2: Hypothesis
https://weeklydatascience.substa...
Subscribers, engagement, traffic and sponsorship for Weekly Data Science .
| Subscribers | Engagement | 76 | Monthly Web Visits | ||
|---|---|---|---|---|---|
| Accepts Sponsors | Estimated Cost per Ad | ||||
The writers behind this newsletter.
Growth Data Science by Vaishali Macwan • Breaking down complex data science concepts for real growth problems • Experiments, metrics, and AI use cases from real products • Clear, actionable decision-making frameworks
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