WHO WE ARE
Student in Data is a high-velocity community for the data-curious who want to break into the industry. We prioritize Data for Business, moving past academic toy problems to focus on the 'So What?' that actually moves the needle for a CEO.
WHAT WE DO (0% FLUFF, 100% IMPACT)
We keep things low-effort but high-engagement with three core formats:
Hacky Hours & Fix-it Times: Drop-in sessions where we help each other clean messy datasets and fix broken code. No lectures, just progress.
AI Prompt Battles: A "Study Hack Showdown" where you battle-test prompts to solve complex business queries in minutes—generating viral-ready content for your portfolio.
The Pitch Pit: 5-minute networking sprints to cure technical interview stage fright and practice explaining business logic to non-technical stakeholder
WHY JOIN US?
In 2026, a certificate isn't enough. Recruiters are looking for evidence of Analytical Authenticity—the ability to find patterns where others see noise.
Break the 'General Importer' Trap: Move beyond .fit() and .predict() to understand the 'Why' behind the model.
.fit()
.predict()
Build a 'Real-World' Portfolio: Solve problems that actually matter to businesses, from marketing ROI to supply chain optimization.
Community First: Data science is 75% stakeholder management and 25% coding. We provide the "Community Living Room" to practice those high-value human skills.
No upcoming events