Practice Applications Of Advanced Data Science (1.4) - Introduction to Advanced Data Science

Practice: Applications of Advanced Data Science

Lesson 1.4Introduction to Advanced Data Science

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9 questions

Flashcard drill
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
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is disease prediction in healthcare?
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Think about previous data and patient history.
Question 2.
What role do recommendation systems play in retail?
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How do these systems personalize shopping experiences?
3Question 3.
Which of the following is an application of advanced data science in healthcare?
- Drug Discovery
- Customer Segmentation
- Logistics Management
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Think about what industry utilizes data science for patient care solutions.
4Question 4.
True or False: Algorithmic trading solely relies on human judgment.
- True
- False
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Consider how trading decisions are made in high frequency settings.
Question 5.
Design a marketing campaign for a new product using data science insights. Discuss how you would use customer segmentation in your strategy.
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Consider how past customer behavior informs future marketing approaches.
Question 6.
Evaluate the potential ethical challenges that arise with the use of sentiment analysis in social media — how can these challenges be addressed?
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Think about feelings vs. data representation and user consent.

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