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

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10 questions

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4 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
4 questions · about 3 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is predictive analytics?
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Think about forecasting future events based on past data.
Question 2.
Why is fraud detection important in finance?
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Consider what happens if fraud goes unnoticed.
3Question 3.
What is the primary purpose of predictive analytics?
- Past data analysis
- Future predictions
- Data cleaning
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Remember its use in forecasting future events.
4Question 4.
True or False: Data science is only applicable in the technology sector.
- True
- False
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Think of all the fields we discussed.
Question 5.
Design a predictive model for a new product launch in retail. Describe the data you would use and how it would influence marketing decisions.
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Think about what information would help predict the success of the new product.
Question 6.
Critique a case where poor census data led to ineffective government policy. Discuss what could have been done differently.
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Consider the importance of data accuracy in reflecting community needs.

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