Practice Data Science for Business and Decision-Making - 18 | 18. Data Science for Business and Decision- Making | Data Science Advance
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Data Science for Business and Decision-Making

18 - Data Science for Business and Decision-Making

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is business decision-making?

💡 Hint: Think about how businesses choose strategies.

Question 2 Easy

What does data preprocessing involve?

💡 Hint: Consider the steps before analyzing data.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is a key benefit of using data science in decision-making?

Increased guesswork
Evidence-based decisions
Use of intuition

💡 Hint: Think about the nature of decisions backed by data.

Question 2

True or False: Data preprocessing is an optional step in data-driven decision-making.

True
False

💡 Hint: Consider the steps involved before analysis.

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Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

A retail company is facing high customer churn rates. Develop a data-driven strategy using analytics to predict and mitigate this issue.

💡 Hint: What elements of data science can help you analyze customer behavior?

Challenge 2 Hard

How might a fraud detection system leverage anomaly detection techniques? Create an example scenario.

💡 Hint: Consider how unusual spending patterns could trigger alerts.

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