Practice Data Science Life Cycle (16.5) - Concepts of 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 stage of the Data Science Life Cycle?
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Think about what we need to understand before collecting data.
Question 2.
Why is data preparation important?
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Consider what would happen if we use dirty data.
3Question 3.
What is the first step in the Data Science Life Cycle?
- Data Collection
- Problem Definition
- Data Analysis
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It helps to frame the data collection process.
4Question 4.
True or False: Data Preparation is a crucial step to ensure data is cleaned and ready for analysis.
- True
- False
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Consider how bad data affects results.
Question 5.
Imagine you are tasked with improving customer satisfaction in a retail chain. Outline how you would apply each stage of the Data Science Life Cycle to achieve this goal.
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Think about real steps you would take.
Question 6.
You’ve collected data but found many missing values. Discuss how you would handle these in the Data Preparation stage.
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Consider methods that maintain data integrity.

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