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โœ… SQL Skills Every Data Analyst Must Know ๐Ÿ—„๏ธ๐Ÿ“Š

๐Ÿง  SQL BASICS
1. SELECT Statement
2. WHERE Clause
3. ORDER BY
4. LIMIT / TOP
5. DISTINCT
6. Aliases
7. Basic Syntax Rules
8. Filtering Data

๐Ÿ”— JOINS
1. INNER JOIN
2. LEFT JOIN
3. RIGHT JOIN
4. FULL JOIN
5. SELF JOIN
6. Cross Join
7. Joining Multiple Tables
8. Handling NULLs in Joins

๐Ÿ“Š AGGREGATIONS
1. COUNT()
2. SUM()
3. AVG()
4. MIN()
5. MAX()
6. GROUP BY
7. HAVING Clause
8. Conditional Aggregation

โš™๏ธ ADVANCED SQL
1. Subqueries
2. Common Table Expressions (CTE)
3. Window Functions
4. CASE WHEN
5. Views
6. Temporary Tables
7. Stored Procedures
8. Indexing Basics

๐Ÿ“‚ DATA MANIPULATION
1. INSERT
2. UPDATE
3. DELETE
4. MERGE
5. TRUNCATE
6. Data Import
7. Data Export
8. Transactions (COMMIT, ROLLBACK)

๐Ÿš€ PERFORMANCE OPTIMIZATION
1. Indexing
2. Query Optimization
3. Execution Plans
4. Avoiding Full Table Scans
5. Partitioning
6. Query Refactoring
7. Caching
8. Database Tuning

๐Ÿงฑ DATABASE CONCEPTS
1. Normalization
2. Denormalization
3. OLTP vs OLAP
4. Data Warehousing
5. Star Snowflake Schema
6. Constraints (PK, FK)
7. ACID Properties
8. Data Integrity

๐Ÿ“Š REAL-WORLD SKILLS
1. Writing Business Queries
2. Data Cleaning using SQL
3. Report Generation
4. Dashboard Data Prep
5. Handling Large Datasets
6. Debugging Queries
7. Interview Problem Solving
8. Case Study Practice

SQL For Data Analytics: https://whatsapp.com/channel/0029Vb6hJmM9hXFCWNtQX944

๐Ÿ’ฌ Tap โค๏ธ if this helped you follow for more SQL content!
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