Practice Applications Of Data Science (12.6) - Introduction to Data Science
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Applications of Data Science

Practice - Applications of Data Science

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is predictive analytics?

💡 Hint: Think about forecasting future events based on past data.

Question 2 Easy

Why is fraud detection important in finance?

💡 Hint: Consider what happens if fraud goes unnoticed.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary purpose of predictive analytics?

Past data analysis
Future predictions
Data cleaning

💡 Hint: Remember its use in forecasting future events.

Question 2

True or False: Data science is only applicable in the technology sector.

True
False

💡 Hint: Think of all the fields we discussed.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a predictive model for a new product launch in retail. Describe the data you would use and how it would influence marketing decisions.

💡 Hint: Think about what information would help predict the success of the new product.

Challenge 2 Hard

Critique a case where poor census data led to ineffective government policy. Discuss what could have been done differently.

💡 Hint: Consider the importance of data accuracy in reflecting community needs.

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