Practice Case Studies - 18.5 | 18. Data Science for Business and Decision- Making | Data Science Advance
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Case Studies

18.5 - Case Studies

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does customer churn refer to?

💡 Hint: Think about the customers a company loses.

Question 2 Easy

What type of model can be used to predict customer retention?

💡 Hint: These models sort data into categories.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is customer churn?

💡 Hint: Think about the customers they lose.

Question 2

Which technique was used to identify fraudulent transactions in the last case study?

Regression Analysis
Anomaly Detection
Time Series Analysis

💡 Hint: It involves spotting irregularities.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

A telecom company developed a model to predict whether a customer would leave. Discuss how they might use this information to build loyalty programs.

💡 Hint: Consider who is at risk of leaving.

Challenge 2 Hard

Critique the advantages and disadvantages of using linear programming in inventory management decisions.

💡 Hint: Think about the models and data quality.

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Reference links

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