From the course: Data Science Foundations: Fundamentals
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The role of questions in data science
From the course: Data Science Foundations: Fundamentals
The role of questions in data science
- [Narrator] You as a data scientist are in the business of answering questions. A person, say the marketing director, comes to you with some kind of question, so you gather and you process and analyze the data. You build a model or several models and you come up with an answer to the question that motivated the project. But chances are, if you've been at this for a while, it's a question that you've been asked before and the answer you've given is closely related to the answers that you have also given before. But one of the strange things about life, including data science, is that the real value isn't always in the answers. For example, here's something from Esther Dyson, a forward-looking investor and philanthropist. She says, "The definition of the problem, rather than its solution, will be the scarce resource in the future." Think about that. She is saying that answers or solutions will be less valuable than the…
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