Business understanding is important in the data science methodology stage. Why?

Question: Business understanding is important in the data science methodology stage. Why?

1. Because it shapes the rest of the methodological steps.
2. Because it clearly defines the problem and the needs from a business perspective.
3. Because it ensures that the work generates the intended solution.
4. Because it involves domain expertise.
5. All of the above.

Correct Answers: 5

About Introduction to Data Science Methodology Course

Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don’t have a solid understanding of the questions being asked and how to apply the data correctly to the problem at hand. This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand.

Introduction to Data Science Methodology

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