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3 cards from this section. Quick, good the night before a test.
What does Problem Definition refer to in a data science project?
Think about the first step in your data science workflow.
Why is it important to define the scope of a problem?
Consider what happens when you don't set limits.
What is the first step in the data science lifecycle?
Think about where the project begins.
True or False: A good problem definition can lead to wasted resources.
Consider the consequences of clarity versus vagueness.
You are tasked with defining a problem for a company's new data-driven marketing strategy. What steps will you take to formulate and define the problem statement?
Consider who is impacted by the marketing strategy and how you can measure its success.
Propose a refined research question based on this vague statement: 'We want to know more about our customer base.'
Think about what particular aspects of the customer base would provide actionable insights.
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