1️⃣ Question 1

What fundamental skills and knowledge should an aspiring data scientist possess?

• ❌ A strong background in physics and statistics.

• ✅ Proficiency in programming, algebra, geometry, calculus, probability, statistics, and database concepts.

• ❌ A background in computer science focused on databases.

• ❌ Extensive CS theory and math beyond calculus.

Explanation:
Data science requires a balance of programming, math, statistics, and data handling. The correct option covers all essential foundations.

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2️⃣ Question 2

Primary consideration when hiring a data scientist?

• ❌ Curiosity + humor + storytelling + passion for e-commerce.

• ❌ Assess mathematical and statistical knowledge only.

• ❌ Focus on proficiency in specific tools/languages only.

• ✅ Evaluate their problem-solving abilities and analytical thinking.

Explanation:
Tools and math matter, but the core of data science is problem solving — the ability to analyze, reason, and derive insights.

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3️⃣ Question 3

Which qualities help make someone a successful data scientist?

• ❌ Fluency in multiple programming languages.

• ✅ Programming skills, math knowledge, curiosity, and experimentation.

• ❌ Expertise in front-end/UI development.

• ❌ Knowledge of web development frameworks.

Explanation:
Successful data scientists combine technical skills with curiosity and a willingness to experiment—this drives deeper insights.

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🧾 Summary Table