✅ Top Data Analytics Interview Questions & Answers 📊💡

📍 1. What is Data Analytics?
Answer: The process of examining raw data to find trends, patterns, and insights to support decision-making.

📍 2. What is the difference between Descriptive, Predictive, and Prescriptive Analytics?
Answer:
⦁ Descriptive: Summarizes historical data.
⦁ Predictive: Uses data to forecast future outcomes.
⦁ Prescriptive: Provides recommendations for actions.

📍 3. How do you handle missing data?
Answer: Techniques include deletion, mean/median imputation, or using models to estimate missing values.

📍 4. What is a SQL JOIN? Name different types.
Answer: Combines rows from two or more tables based on a related column. Types: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN.

📍 5. How do you find duplicate records in a dataset using SQL?
Answer: Use GROUP BY with HAVING COUNT(*) > 1 on the relevant columns.

📍 6. What is a pivot table and why is it used?
Answer: A tool to summarize, aggregate, and analyze data dynamically.

📍 7. Can you explain basic statistical terms such as mean, median, and mode?
Answer: Mean is average, median is middle value when sorted, and mode is the most frequent value.

📍 8. What is correlation and how is it different from causation?
Answer: Correlation measures relationship strength between variables, causation implies one causes the other.

📍 9. What visualization tools are you familiar with?
Answer: Examples include Tableau, Power BI, Looker, or Matplotlib.

📍 🔟 How do you communicate findings to non-technical stakeholders?
Answer: Use clear visuals, avoid jargon, focus on actionable insights.

💡 Pro Tip: Show strong problem-solving skills, clarity in explanation, and how your analysis impacts business decisions.

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