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

  Basic Queries

⦁ SELECT, FROM, WHERE, ORDER BY, LIMIT
⦁ Filtering, sorting, and simple conditions

 Joins & Relations
⦁ INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN
⦁ Using keys to combine data from multiple tables

 Aggregate Functions
⦁ COUNT(), SUM(), AVG(), MIN(), MAX()
⦁ GROUP BY and HAVING for grouped analysis

 Subqueries & CTEs
⦁ SELECT within SELECT
⦁ WITH statements for better readability

 Set Operations
⦁ UNION, INTERSECT, EXCEPT
⦁ Merging and comparing result sets

 Date & Time Functions
⦁ NOW(), CURDATE(), DATEDIFF(), DATE_ADD()
⦁ Formatting & filtering date columns

 Data Cleaning
⦁ TRIM(), UPPER(), LOWER(), REPLACE()
⦁ Handling NULLs & duplicates

 Real World Tasks
⦁ Sales by region
⦁ Weekly/monthly trend tracking
⦁ Customer churn queries
⦁ Product category comparisons

 Must-Have Strengths:
⦁ Writing clear, efficient queries
⦁ Understanding data schemas
⦁ Explaining logic behind joins/filters
⦁ Drawing business insights from raw data