The Advanced SQL Queries Course is designed for professionals and students who already have basic SQL knowledge and want to enhance their skills in writing optimized, complex, and efficient queries. This course covers advanced concepts such as subqueries, joins, window functions, indexing, performance tuning, and real-world database scenarios. By the end of this course, learners will be able to handle large datasets, optimize queries, and design queries for analytics and reporting.
Module 1: Review of SQL Fundamentals Quick recap of SQL basics Data types and constraints SQL functions (aggregate & scalar).
Module 2: Advanced Joins INNER, LEFT, RIGHT, FULL joins deep dive CROSS JOIN and SELF JOIN Multiple table joins with conditions.
Module 3: Subqueries and Nested Queries Single-row and multi-row subqueries Correlated subqueries Subqueries in SELECT, FROM, WHERE, and HAVING clauses.
Module 4: Common Table Expressions (CTEs) Introduction to CTEs Recursive CTEs CTEs vs Subqueries.
Module 5: Window Functions Ranking functions (ROW_NUMBER, RANK, DENSE_RANK) Aggregate functions with OVER() Running totals, moving averages, and partitions.
Module 6: Advanced Data Manipulation UPSERT operations (MERGE statement) Advanced INSERT, UPDATE, DELETE Handling NULLs effectively.
Module 7: Indexing and Performance Optimization Index types (clustered, non-clustered, composite) Query execution plans Optimizing query performance.
Module 8: Advanced Set Operations UNION, UNION ALL, INTERSECT, EXCEPT Advanced usage in analytics queries.
Module 9: Advanced Analytical Queries Pivoting and unpivoting data Case statements and conditional logic Advanced grouping (GROUPING SETS, CUBE, ROLLUP).
Module 10: Real-World Applications & Projects Writing queries for business reporting Querying big data and large-scale datasets Capstone project: Designing complex SQL queries for an analytics dashboard.
Mobile: 9100348679
Email: coursedivine@gmail.com
You cannot copy content of this page
