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Defining A Data Science Problem

According to Cameron Warren, in his Towards Data Science article Don’t Do Data Science, Solve Business Problems, “…the number one most important skill for a Data Scientist above any technical expertise — [is] the ability to clearly evaluate and define a problem.”

As a data scientist you will routinely discover or be presented with problems to solve. Your initial objective should be to determine if your problem is in fact a Data Science problem — and if so, what kind. There is great value in being able to translate a business idea or question into a clearly formulated problem statement. And being able to effectively communicate whether or not that problem can be solved by applying appropriate Machine Learning algorithms.

Source: towardsdatascience.com
Author: Nicole Scott

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