Practice Data Science For Business And Decision-making (18) - Data Science for Business and Decision- Making

Practice: Data Science for Business and Decision-Making

Lesson 18Data Science for Business and Decision- Making

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8 questions

Flashcard drill
3 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
2 questions · about 1 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is business decision-making?
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Think about how businesses choose strategies.
Question 2.
What does data preprocessing involve?
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Consider the steps before analyzing data.
3Question 3.
What is a key benefit of using data science in decision-making?
- Increased guesswork
- Evidence-based decisions
- Use of intuition
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Think about the nature of decisions backed by data.
4Question 4.
True or False: Data preprocessing is an optional step in data-driven decision-making.
- True
- False
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Consider the steps involved before analysis.
Question 5.
A retail company is facing high customer churn rates. Develop a data-driven strategy using analytics to predict and mitigate this issue.
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What elements of data science can help you analyze customer behavior?
Question 6.
How might a fraud detection system leverage anomaly detection techniques? Create an example scenario.
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Consider how unusual spending patterns could trigger alerts.

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