Quiz Based on Case Study :What is Data Science? (IBM Data Science Professional Certificate) Answers 2025
1️⃣ Question 1
Why did Lila focus on communication and storytelling skills?
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❌ To impress her friends
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❌ To improve her public speaking abilities
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✅ To communicate her findings effectively as a data scientist
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❌ To become a writer
Explanation:
Data scientists must explain insights clearly, and storytelling helps bridge the gap between data and decision-making.
2️⃣ Question 2
What is the importance of domain knowledge in data science?
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❌ It’s not important at all.
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✅ It allows you to apply data science skills effectively in a specific field.
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❌ It helps you become a software developer.
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❌ It helps you become a better e-commerce website developer.
Explanation:
Domain knowledge helps data scientists understand the context, interpret results correctly, and make relevant recommendations.
3️⃣ Question 3
What key skills did Lila acquire during her data science education?
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❌ Cooking and gardening
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❌ Music and art appreciation
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✅ Statistics, machine learning, data analysis
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❌ History and literature knowledge
Explanation:
These are the core technical skills taught in data science programs.
4️⃣ Question 4
What sources did Lila explore to procure data for her project?
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❌ Only repositories and databases
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❌ Product professionals, data engineers, and domain specialists
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✅ Various repositories, websites, and databases
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❌ Websites and libraries
Explanation:
She explored multiple data sources including datasets, online platforms, and structured repositories.
5️⃣ Question 5
What does Lila do at the end of her first project to convey insights?
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❌ She shares raw data.
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✅ She creates a comprehensive report or presentation.
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❌ She organizes a meeting.
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❌ She writes a blog post.
Explanation:
A clear report or presentation helps stakeholders understand insights and recommendations.
🧾 Summary Table
| Q | Correct Answer | Key Concept |
|---|---|---|
| 1 | Communicate findings effectively | Storytelling in DS |
| 2 | Apply DS to real fields | Importance of domain knowledge |
| 3 | Stats, ML, Data analysis | Core DS skills |
| 4 | Repositories, websites, databases | Data sourcing |
| 5 | Comprehensive report/presentation | Communicating insights |