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SQL skills required for Data Analyst ✅ #sql #dataanalysis #viralshorts #shorts

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SQL Skills Required for Data Analyst ✅
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📌 Basic SQL Skills (Essential)
- SELECT Statements: Retrieve data from tables.
- WHERE Clause: Filter data based on conditions.
- Basic Operators: Use `AND`, `OR`, `NOT`, and comparison operators.
- ORDER BY:Sort data by one or more columns.
- LIMIT: Restrict the number of rows in output.
📌 Intermediate SQL Skills (Highly Recommended)
- Aggregate Functions: Use `COUNT`, `SUM`, `AVG`, `MIN`, `MAX`.
- GROUP BY and HAVING: Aggregate data and apply filters on grouped data.
- JOINS: Combine data from multiple tables using `INNER JOIN`, `LEFT JOIN`, `RIGHT JOIN`, and `FULL OUTER JOIN`.
- Subqueries: Write queries within queries.
- CASE Statements: Create conditional expressions.
📌 Advanced SQL Skills (Good to Have)
- Window Functions: Perform calculations across rows (`ROW_NUMBER()`, `RANK()`, `OVER()`).
- CTEs and Recursive Queries: Simplify complex queries using Common Table Expressions.
- Indexes and Query Optimization: Understand how to improve query performance.
- Views: Create and manage virtual tables.
- Stored Procedures: Automate repetitive tasks (optional, depending on your organization).
📍Practical Skills
- Data Cleaning: Handle missing or inconsistent data using SQL.
- Data Extraction and Reporting: Extract and format data for dashboards or reports.
- Database Structure Understanding: Know how databases are structured (schemas, primary/foreign keys).
#sqldataanalysis #sql #dataanalytics #datascience #computersciencestudent #dataengineering #computerscience #tech_anju #viralreels #feed #youtubeindia #trending #reels #shortsfeed
How much level of SQL do you know ?
Tag your friends 🔥
Follow @tech_anju for more such content ☺️
📌 Basic SQL Skills (Essential)
- SELECT Statements: Retrieve data from tables.
- WHERE Clause: Filter data based on conditions.
- Basic Operators: Use `AND`, `OR`, `NOT`, and comparison operators.
- ORDER BY:Sort data by one or more columns.
- LIMIT: Restrict the number of rows in output.
📌 Intermediate SQL Skills (Highly Recommended)
- Aggregate Functions: Use `COUNT`, `SUM`, `AVG`, `MIN`, `MAX`.
- GROUP BY and HAVING: Aggregate data and apply filters on grouped data.
- JOINS: Combine data from multiple tables using `INNER JOIN`, `LEFT JOIN`, `RIGHT JOIN`, and `FULL OUTER JOIN`.
- Subqueries: Write queries within queries.
- CASE Statements: Create conditional expressions.
📌 Advanced SQL Skills (Good to Have)
- Window Functions: Perform calculations across rows (`ROW_NUMBER()`, `RANK()`, `OVER()`).
- CTEs and Recursive Queries: Simplify complex queries using Common Table Expressions.
- Indexes and Query Optimization: Understand how to improve query performance.
- Views: Create and manage virtual tables.
- Stored Procedures: Automate repetitive tasks (optional, depending on your organization).
📍Practical Skills
- Data Cleaning: Handle missing or inconsistent data using SQL.
- Data Extraction and Reporting: Extract and format data for dashboards or reports.
- Database Structure Understanding: Know how databases are structured (schemas, primary/foreign keys).
#sqldataanalysis #sql #dataanalytics #datascience #computersciencestudent #dataengineering #computerscience #tech_anju #viralreels #feed #youtubeindia #trending #reels #shortsfeed
How much level of SQL do you know ?