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How to Query and Analyze Data Using SQL (Beginner to Advanced Learning Path)

Query and analyze relational databases with SQL. Cover SELECT, JOINs, CTEs, aggregate functions, and advanced techniques for data-driven decisions.

Frequently Asked Questions

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5 questions this playlist covers — skim them for a quick takeaway, or dive into the videos above for the full picture.

SQL is used to retrieve, filter, aggregate, and transform data stored in relational databases. Data analysts write queries to answer business questions, generate reports, and prepare data for further analysis. WHERE filters individual rows before aggregation occurs, while HAVING filters grouped results after an aggregate function like COUNT or SUM has been applied. A CTE is a named temporary result set defined within a query using the WITH clause. It improves readability by breaking complex queries into reusable, named subqueries. JOINs combine rows from two or more tables based on a related column. INNER JOIN returns matching rows, LEFT JOIN returns all rows from the left table plus matches, and other join types handle different scenarios. GROUP BY organizes rows sharing the same value in a column into summary groups, allowing aggregate functions like SUM, AVG, and COUNT to calculate metrics per category or segment.