Advanced SQL for Analytics
Elevate your SQL skills to an expert level with this advanced course focused on analytics applications. Learn to write complex queries that handle millions of rows efficiently, optimize database performance, and leverage advanced SQL features for sophisticated data analysis.
This course covers window functions, CTEs, recursive queries, advanced joins, query optimization, and performance tuning. Perfect for data analysts and engineers who want to maximize their SQL proficiency.
What You'll Learn
Window Functions and Analytics
ROW_NUMBER, RANK, DENSE_RANK, LAG, LEAD, running totals, moving averages, and percentile calculations
Complex Joins and Subqueries
Self joins, cross joins, non-equi joins, correlated subqueries, and join optimization strategies
Common Table Expressions (CTEs)
Recursive CTEs, multiple CTEs, and using CTEs for query organization and performance
Query Optimization Techniques
Reading execution plans, index strategies, query rewriting, and performance tuning best practices
Advanced Aggregations
GROUPING SETS, ROLLUP, CUBE, PIVOT, UNPIVOT, and complex aggregation patterns
Stored Procedures and Functions
Creating reusable SQL code, dynamic SQL, error handling, and procedural programming
Your Instructor
Robert Chen
Database Architect & SQL Expert
Robert is a senior database architect with 18 years of experience optimizing SQL databases for high-performance analytics applications. He has worked with petabyte-scale databases and has optimized thousands of queries for Fortune 100 companies.
A frequent speaker at database conferences, Robert is passionate about teaching advanced SQL techniques and has helped countless analysts become SQL experts.
Student Reviews
This course took my SQL skills to the next level! The optimization techniques alone have saved me hours of work. Robert explains complex topics in a very accessible way.
Absolutely the best advanced SQL course I've taken. The practical examples and real-world scenarios make it easy to apply these concepts immediately.