It’s easy to get lost in the algorithms, libraries, and fancy dashboards.
But at its core,
Data Science is about asking better questions.
You can have the best model, but if you’re answering the wrong question, it’s useless.
🔥 A few underrated questions that lead to gold:
- "What’s actually driving this behaviour?"
- "What hidden assumptions are we making here?"
- "If I could only track 3 metrics, what would they be?"
The future isn’t about who builds bigger LLMS,
but about who frames problems better than anyone else.
Next time you dive into a dataset… pause.
Ask yourself: Am I answering the right question?