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5 cards from this section. Quick, good the night before a test.
What is the first step in the Data Science Lifecycle?
Think about what you need to understand before starting.
Name one data collection method.
Consider the sources from where data can be gathered.
What is the last stage of the Data Science Lifecycle?
Think about what happens after deployment.
True or False: Data cleaning is optional in the Data Science Lifecycle.
How does bad data affect your analysis?
You are tasked with analyzing customer feedback data. Define a clear problem statement, describe how you would collect the data, and explain what cleaning steps you'd take.
Think about your end goal with the analysis.
Discuss the impact of not monitoring a deployed model. What potential issues can arise, and how can you mitigate them?
Consider what happens to models over time, especially in dynamic environments.
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