Practice Applications of Data Science in Different Fields - 13.3 | 13. Applications of Data Science | CBSE Class 10th AI (Artificial Intelleigence)
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.

Typing
Memory
Math
English Adventures
Knowledge

13.3 - Applications of Data Science in Different Fields

Enroll to start learning

You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.

Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is one application of Data Science in healthcare?

💡 Hint: Think about how healthcare uses data to foresee potential health issues.

Question 2

Easy

Define a recommendation system.

💡 Hint: Consider online 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 a key application of Data Science in healthcare?

  • Fraud detection
  • Disease prediction
  • Autonomous vehicles

💡 Hint: Consider where early intervention can save lives.

Question 2

True or False: Recommendation systems are only used in entertainment.

  • True
  • False

💡 Hint: Reflect on where you've seen product suggestions.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

Design a data-driven system for predicting student performance in high school. Explain the data required, the analytical methods used, and how it could impact educational outcomes.

💡 Hint: Consider what data schools already collect.

Question 2

Evaluate the ethical considerations of using AI for fraud detection in banking. What are potential biases, and how can they be mitigated?

💡 Hint: Think about who is affected and how decisions are made.

Challenge and get performance evaluation