Practice Lifecycle Of Data Science (12.3) - Introduction to Data Science

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10 questions

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4 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is the first step in the Data Science Lifecycle?
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It's about identifying the issue.
Question 2.
What are two common data sources?
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Think about how companies gather information.
3Question 3.
What is the last step in the Data Science Lifecycle?
- Model Building
- Monitoring
- Data Collection
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It's about keeping track of the model after it's live.
4Question 4.
True or False: Data Cleaning is optional in the Data Science Lifecycle.
- True
- False
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Consider the risks of using unclean data.
Question 5.
Imagine you are tasked with predicting customer churn for a subscription service. Outline how you would approach this using the Data Science Lifecycle.
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Think about each step logically and how they link together.
Question 6.
You have an existing model for sales prediction but find it underperforming. Describe your plan to investigate and enhance its performance.
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Consider both data and model perspectives when addressing underperformance.

6 more questions in this section. Enroll free to practise them all.