SQL Practice for Interviews: Master Queries with Music Streaming Data

SQL is an essential skill for data analysts, backend developers, and QA engineers, but passing live-coding technical interviews requires more than just knowing basic syntax. To stand out, you must practice writing efficient, real-world queries against complex datasets. This text-based course bridges the gap between theory and practical execution. You will work through a structured series of database query challenges modeled after a massive music streaming platform. You will start with core relational database concepts, learn how to navigate multi-table schemas, and progress to writing advanced queries that mimic actual technical interview scenarios. What you'll learn: Understand relational database structures, primary keys, and table relationships; Write clean SELECT statements, filter data with WHERE clauses, and sort results; Aggregate large volumes of data using GROUP BY and HAVING to extract trends; Combine multiple tables seamlessly using INNER, LEFT, and OUTER JOINs; Solve complex business questions using CTEs (Common Table Expressions) and subqueries; Apply window functions to rank tracks, calculate running totals, and analyze streaming behavior; Optimize your queries for performance and learn how to explain your logic during live-coding interviews. The course begins with foundational SQL terminology and basic database design principles. From there, you will dive into written exercises, analyzing a schema featuring artists, tracks, and playlists, and comparing your solutions against detailed explanations. This program is designed for beginners, aspiring data professionals, backend developers, and QA testers preparing for technical assessments. No prior database experience is required. Start writing queries today and gain the practical skills needed to ace your next technical interview.