Graded Quiz: From Problem to Approach :Data Science Methodology (IBM Data Science Professional Certificate) Answers 2025
1️⃣ Question 1
Role of the Business Understanding stage in guiding data collection:
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❌ Determines number of data points
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❌ Determines visualization techniques
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❌ Ensures data is free of errors
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✅ Identifies the data sources and variables required to address the business problem
Explanation:
Business Understanding identifies what data is needed by clarifying the business problem.
2️⃣ Question 2
Primary goal of the business understanding stage (customer churn example):
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❌ Analyzing historical complaints
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✅ Understanding the factors contributing to customer churn
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❌ Identifying most popular plan
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❌ Competitor market analysis
Explanation:
Business Understanding defines what problem to solve—in this case, why customers churn.
3️⃣ Question 3
Primary goal of the analytical approach:
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❌ Gather as much data as possible
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✅ Iteratively explore and analyze data to find actionable insights
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❌ Use the most complex algorithms
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❌ Create dashboards
Explanation:
Analytical approach focuses on exploration, evaluation, and insight discovery, not complexity or visuals.
4️⃣ Question 4
First step data scientists take for Business Understanding:
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❌ Identifying objectives supporting the goal
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❌ Engaging management
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❌ Engaging stakeholders
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✅ Understand the goal
Explanation:
Everything begins with clearly understanding the main business goal.
5️⃣ Question 5
Which analytics is suitable for anticipating customer preferences?
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❌ Statistical Modeling
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❌ Descriptive Modeling
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❌ Classification Modeling
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✅ Predictive Modeling
Explanation:
Predictive analytics uses historical data to forecast future behavior or preferences.
🧾 Summary Table
| Q | Correct Answer | Key Concept |
|---|---|---|
| 1 | Identify data sources & variables | Role of business understanding |
| 2 | Understand factors driving churn | Problem framing |
| 3 | Iteratively explore for insights | Analytical approach |
| 4 | Understand the goal | First step of business understanding |
| 5 | Predictive Modeling | Anticipating customer preferences |