🧠 How much SQL is enough to crack a Data Analyst Interview? 💼💻

📌 Basic Queries
⦁ SELECT, FROM, WHERE
⦁ DISTINCT, IN, BETWEEN, LIKE
⦁ ORDER BY, LIMIT

🔗 Joins and Relations
⦁ INNER JOIN, LEFT/RIGHT/FULL JOIN
⦁ Joining 2–3 tables in real life
⦁ Handling NULLs & duplicates

📊 Aggregate Functions
⦁ COUNT, SUM, AVG, MIN, MAX
⦁ GROUP BY multiple columns
⦁ HAVING vs WHERE filters

🧩 Subqueries & CTEs
⦁ Subqueries in SELECT, WHERE, FROM
⦁ WITH clause for clarity
⦁ Use in data cleaning & filtering

🔍 Window Functions
⦁ ROW_NUMBER, RANK, DENSE_RANK
⦁ LAG, LEAD for time analysis
⦁ PARTITION BY with OVER()

🛠️ Data Manipulation
⦁ CASE WHEN, COALESCE, NULLIF
⦁ Date funcs: DATE_TRUNC, DATEDIFF, NOW()
⦁ String funcs: SUBSTRING, CONCAT, UPPER

📊 Analytics-Focused Practice
⦁ KPI calc: revenue, conversions
⦁ Funnel, retention, user activity
⦁ Ad-hoc queries for business questions

📚 Common Interview Scenarios
⦁ Compare monthly metrics
⦁ Find top N customers/products
⦁ Detect duplicates or anomalies
⦁ Trend analysis with dates

✅ Must-Have Strengths
⦁ Clean, efficient queries
⦁ Clear logic explanation
⦁ Translating business asks to SQL
⦁ Spotting data patterns

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