Practice Ethical and Strategic Considerations - 18.6 | 18. Data Science for Business and Decision- Making | Data Science Advance
K12 Students

Academics

AI-Powered learning for Grades 8–12, aligned with major Indian and international curricula.

Professionals

Professional Courses

Industry-relevant training in Business, Technology, and Design to help professionals and graduates upskill for real-world careers.

Games

Interactive Games

Fun, engaging games to boost memory, math fluency, typing speed, and English skills—perfect for learners of all ages.

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does transparency in data decision-making mean?

💡 Hint: Think about how you would describe your methods to someone unfamiliar.

Question 2

Easy

Can you give one example of bias in data?

💡 Hint: Consider how different user experiences could be affected.

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 reason for ensuring ethical practices in data analytics?

  • To improve profits
  • To avoid bias
  • To increase data volume

💡 Hint: Consider the consequences of using biased data.

Question 2

Is strategic alignment necessary for data analytics success?

  • True
  • False

💡 Hint: Think about outcomes when strategies misalign.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Discuss how a failure to address ethical considerations could impact a company’s brand.

💡 Hint: Consider high-profile cases of data misuse.

Question 2

Propose a strategy for integrating ethical considerations into all levels of an organization.

💡 Hint: Think about practical steps after identifying ethical gaps.

Challenge and get performance evaluation