Practice Case Studies - 18.5 | 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 customer churn refer to?

💡 Hint: Think about the customers a company loses.

Question 2

Easy

What type of model can be used to predict customer retention?

💡 Hint: These models sort data into categories.

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 customer churn?

💡 Hint: Think about the customers they lose.

Question 2

Which technique was used to identify fraudulent transactions in the last case study?

  • Regression Analysis
  • Anomaly Detection
  • Time Series Analysis

💡 Hint: It involves spotting irregularities.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

A telecom company developed a model to predict whether a customer would leave. Discuss how they might use this information to build loyalty programs.

💡 Hint: Consider who is at risk of leaving.

Question 2

Critique the advantages and disadvantages of using linear programming in inventory management decisions.

💡 Hint: Think about the models and data quality.

Challenge and get performance evaluation