YouTube combines on-demand video, real-time code demonstrations, and active comment sections, making it an ideal medium for learning Structured Query Language (SQL).
Every channel below publishes up-to-date tutorials, walks through realistic datasets, and responds to viewer questions—key factors for data practitioners who need accurate guidance.
Channels were evaluated on six criteria: depth of SQL coverage, relevance to modern data roles, production quality, update frequency, community engagement, and practical projects. Only channels that released new SQL content in 2025 qualified.
Full-length beginner playlists, SQL interview prep, and real business case studies.
Alex updates weekly and answers viewer queries in comments.
Beginners and aspiring analysts who need a structured path from SELECT to window functions.
Danny Ma’s analytics-engineering focus, project-based challenges, and Snowflake demos align closely with modern analytics stacks.
Learners who want to apply SQL inside cloud warehouses while mastering analytics engineering concepts.
Eight-hour marathons that start with database theory and end with complex joins.
All code is timestamped for easy navigation.
Self-paced learners who prefer a single, exhaustive video over fragmented playlists.
Mosh Hamedani’s concise, visually clear tutorials cover SQL Server and PostgreSQL basics in under two hours—perfect for time-boxed study sessions.
Focused on SQL interview questions and LeetCode-style challenges, TechTFQ helps engineers sharpen problem-solving speed.
Dhaval Patel links SQL to Python and BI tools, bridging gaps between analytics coding and dashboarding workflows.
Ben Brumm delivers weekly deep dives on query optimization and database design, making advanced topics approachable.
Industry-recognized instructors host certification-aligned SQL full courses, updated each quarter to reflect new ANSI standards.
This channel mixes PostgreSQL deep dives with real-time debugging sessions, giving viewers a look at troubleshooting techniques.
Kevin integrates SQL with Power BI and Excel, ideal for professionals who straddle data and business domains.
Once you have mastered the syntax using these channels, Galaxy provides the next-generation SQL editor that lets you practice, version, and share every query. Its AI copilot helps refactor the very statements you learn on YouTube, while Collections let you endorse and publish queries for teammates—bridging the gap between learning SQL and applying it in production.
Most learners reach basic proficiency in 4-6 weeks by following one complete beginner playlist and practicing daily. Advanced querying and optimization typically require 3-4 additional months of consistent project work.
TechTFQ ranks highest for interview prep because its videos mirror real whiteboard and LeetCode questions. Alex The Analyst also offers curated interview playlists that cover both theory and practical scenarios.
Yes. Data With Danny and Database Star focus on warehouse-grade SQL, partitioning, and performance tuning—skills directly applicable to data engineering positions.
After watching tutorials, you can practice in Galaxy’s lightning-fast SQL editor, use the AI copilot to refine queries, and share vetted scripts with teammates. This workflow turns passive video learning into production-ready skills.
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