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Whether you're a beginner or upskilling for analytics roles, this repo covers everything you need to become confident in SQL.\n\n---\n\n## ✅ Topics Covered\n\n- **SQL Basics**  \n  `SELECT`, `WHERE`, `ORDER BY`, `LIMIT`, aliases, etc.\n\n- **Filtering \u0026 Aggregations**  \n  `GROUP BY`, `HAVING`, `COUNT`, `SUM`, `AVG`, `MIN`, `MAX`\n\n- **Joins \u0026 Relationships**  \n  `INNER JOIN`, `LEFT JOIN`, `RIGHT JOIN`, `FULL OUTER JOIN`\n\n- **Subqueries \u0026 Nested Queries**\n\n- **Window Functions**  \n  `RANK()`, `ROW_NUMBER()`, `DENSE_RANK()`, `LEAD()`, `LAG()`, etc.\n\n- **Advanced SQL Functions**  \n  `CASE`, `COALESCE`, `NULLIF`, `CAST`, `CONVERT`, string/date/time functions\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkhalidkhankakar%2Fsql-for-datascience","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkhalidkhankakar%2Fsql-for-datascience","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkhalidkhankakar%2Fsql-for-datascience/lists"}