Hypothesis Creation for Data Science Projects
Sharing the method I personally use for extracting business knowledge from a dataset
As Data Scientists, sometimes we need to switch contexts to work on a project that we have little to no knowledge about the business. The obvious truths, the insights, the relationship between datasets, all that demand time and effort to transform data into information. But how do we truly unlock the valuable insights hidden within? For me, it usually starts with a clear hypothesis. A well-formulated hypothesis acts like a roadmap, guiding our analysis and directing us towards actionable business knowledge.
In this story, I’ll be sharing the method I’ve been personally using for the past 5 years to craft effective hypotheses for data science projects. This approach goes beyond simply making an educated guess. It’s a structured process that leverages domain expertise, data exploration, and a pinch of creativity to uncover the secrets behind datasets.
Why do I need this?
I always ask WHY before start doing things. So here are my personal reasons for learning how to create…
