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.

Academics
Professionals

Professional Courses

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

Professional Courses
Games

Interactive Games

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

games

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does customer churn refer to?

πŸ’‘ Hint: Think about the customers a company loses.

Question 2

Easy

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

πŸ’‘ 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?

πŸ’‘ 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

πŸ’‘ 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.

πŸ’‘ Hint: Consider who is at risk of leaving.

Question 2

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

πŸ’‘ Hint: Think about the models and data quality.

Challenge and get performance evaluation