Practice Applications of Advanced Data Science - 1.4 | 1. Introduction to Advanced Data Science | Data Science Advance
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1.4 - Applications of Advanced Data Science

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is disease prediction in healthcare?

💡 Hint: Think about previous data and patient history.

Question 2

Easy

What role do recommendation systems play in retail?

💡 Hint: How do these systems personalize shopping experiences?

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

Which of the following is an application of advanced data science in healthcare?

  • Drug Discovery
  • Customer Segmentation
  • Logistics Management

💡 Hint: Think about what industry utilizes data science for patient care solutions.

Question 2

True or False: Algorithmic trading solely relies on human judgment.

  • True
  • False

💡 Hint: Consider how trading decisions are made in high frequency settings.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a marketing campaign for a new product using data science insights. Discuss how you would use customer segmentation in your strategy.

💡 Hint: Consider how past customer behavior informs future marketing approaches.

Question 2

Evaluate the potential ethical challenges that arise with the use of sentiment analysis in social media — how can these challenges be addressed?

💡 Hint: Think about feelings vs. data representation and user consent.

Challenge and get performance evaluation