Practice Finance - 18.2.5 | 18. Data Science for Business and Decision- Making | Data Science Advance
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Finance

18.2.5 - Finance

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is credit scoring?

💡 Hint: Think about how lenders assess risks.

Question 2 Easy

What is the purpose of fraud detection?

💡 Hint: Consider why banks track unusual activities.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does credit scoring evaluate?

Creditworthiness
Transaction times
Account age

💡 Hint: Think about what lenders assess.

Question 2

True or False: Fraud detection systems improve financial security.

True
False

💡 Hint: Consider the purpose of these systems.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a framework for a fraud detection system that incorporates both anomaly detection and machine learning.

💡 Hint: Focus on the steps a data analyst would take to implement such a system.

Challenge 2 Hard

Evaluate the impact of ethical considerations on credit scoring models in today's financial landscape.

💡 Hint: Think about the societal implications of financial assessments.

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