Practice Introduction to Advanced Data Science - 1 | 1. Introduction to Advanced Data Science | Data Science Advance
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does advanced data science utilize?

💡 Hint: Think about modern technologies in AI.

Question 2

Easy

Name one component of advanced data science.

💡 Hint: We discussed several key areas.

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

What is a key component of advanced data science?

  • Deep Learning
  • Basic Excel
  • Manual Analysis

💡 Hint: It involves neural networks.

Question 2

True or False: Advanced data science focuses solely on structured data.

  • True
  • False

💡 Hint: Think about what 'advanced' means.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a machine learning model for predicting customer churn in a subscription service. What data would you need, and how would you ensure it’s unbiased?

💡 Hint: Consider features that directly affect user satisfaction.

Question 2

Evaluate the ethical implications of deploying a facial recognition system. What biases could arise, and how could they be mitigated?

💡 Hint: Think about societal impacts of deployment.

Challenge and get performance evaluation