Practice Data-Driven Decision-Making Framework - 18.3 | 18. Data Science for Business and Decision- Making | Data Science Advance
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18.3 - Data-Driven Decision-Making Framework

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is the first step in the data-driven decision-making framework?

💡 Hint: Think about what you need to identify before collecting data.

Question 2

Easy

Name one source of data for data collection.

💡 Hint: What widely used systems help companies manage their customer relationships?

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 the first step in the data-driven decision-making framework?

  • Data Preprocessing
  • Define the Business Problem
  • Model Building

💡 Hint: Think about what needs to be established first before moving forward.

Question 2

True or False: Data preprocessing is optional in the data-driven decision-making framework.

  • True
  • False

💡 Hint: What happens if data isn't cleaned and prepared properly?

Solve 3 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You’re given a dataset with numerous missing values across different columns. Design a data preprocessing approach that ensures minimal data loss while maximizing useful information retention.

💡 Hint: What are some imputation techniques you’ve already learned?

Question 2

A company’s sales model is showing a decline in performance after six months of deployment despite previously high accuracy. Develop a plan to investigate this model drift.

💡 Hint: What are common indicators of model performance that you can monitor?

Challenge and get performance evaluation