Build stronger database querying skills with Intermediate SQL Training, a practical course designed for developers, database professionals, data analysts, IT specialists, and SQL users who want to progress beyond basic SQL and work confidently with more complex database queries.
Duration 5 days – 35 hrs
Overview
The Intermediate SQL Training course builds on fundamental SQL knowledge and provides participants with practical skills for writing, analyzing, optimizing, and maintaining more advanced SQL queries. The training focuses on real-world database scenarios, helping learners develop the ability to work efficiently with complex datasets and relational database structures.
Participants will strengthen their understanding of advanced SQL querying techniques, including multi-table joins, complex filtering, aggregation, grouping, set operations, subqueries, Common Table Expressions (CTEs), and window functions. These techniques enable learners to retrieve and analyze information from multiple related tables and solve more complex business and data requirements.
The course also introduces important concepts in SQL database performance and query optimization. Participants will learn how to read execution plans, identify inefficient queries, understand index usage, and apply practical optimization techniques to improve query performance and scalability.
In addition to querying techniques, learners will work with essential SQL database objects and transaction management, including views, indexes, COMMIT, and ROLLBACK. The course emphasizes SQL coding practices that promote accuracy, maintainability, readability, and efficient database operations.
Through hands-on exercises, query challenges, and real-world case studies, participants will apply Intermediate SQL techniques to data analysis, reporting, application development, and database management scenarios. The practical approach helps learners transition from writing basic SQL statements to developing more sophisticated and performance-conscious queries.
By the end of the course, participants will have stronger SQL querying, data analysis, and query optimization skills, providing a solid foundation for advanced SQL development, database administration, business intelligence, and data-focused roles.
Learning Objectives
- Write complex SQL queries using multiple tables, joins, conditions, and set operations.
- Apply advanced aggregation, grouping, filtering, and data analysis techniques.
- Create and use subqueries and Common Table Expressions (CTEs) to solve complex data requirements.
- Use SQL window functions such as
ROW_NUMBER,RANK,DENSE_RANK,SUM, andAVG. - Work with recursive CTEs and hierarchical data structures.
- Create and manage database objects such as views and indexes.
- Apply SQL transactions using COMMIT and ROLLBACK.
- Analyze execution plans to identify potential query performance issues.
- Apply SQL query optimization and indexing techniques to improve database performance.
- Write SQL code using best practices for readability, maintainability, and efficiency.
- Apply intermediate SQL techniques to practical business reporting, data analysis, and database development scenarios.
Audience
- Experienced Database Administrators (DBAs)\ with basic SQL knowledge aiming to deepen their database querying skills.
- Business analysts, data analysts, software developers, and IT professionals.
- Individuals preparing for advanced database certifications or roles requiring strong SQL expertise.
Pre- requisites
- Completion of a Basic SQL Training Course or equivalent hands-on experience.
- Familiarity with basic SQL concepts such as:
- SELECT, INSERT, UPDATE, DELETE commands
- Simple joins
- Basic WHERE clauses and conditions
Course Content
Module 1: Review of Basic SQL Concepts
- Quick recap of SELECT, JOINs, and WHERE conditions
- Recap exercises to ensure readiness for intermediate topics
Module 2: Advanced Data Retrieval Techniques
- INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN deep dive
- Using UNION and UNION ALL
- Working with complex WHERE and HAVING clauses
Module 3: Subqueries and Common Table Expressions (CTEs)
- Writing scalar, correlated, and nested subqueries
- Introduction to CTEs
- Recursive CTEs for hierarchical data
Module 4: Aggregations, Grouping, and Set Operations
- GROUP BY with complex aggregations
- Using ROLLUP and CUBE for advanced grouping
- Set operators: INTERSECT, EXCEPT
Module 5: Window Functions
- Introduction to OVER() and PARTITION BY
- Ranking functions (ROW_NUMBER, RANK, DENSE_RANK)
- Aggregate window functions (SUM, AVG over partitions)
Module 6: Database Objects and Transactions
- Creating and managing views
- Indexing for performance improvement
- Understanding and managing transactions
- COMMIT and ROLLBACK operations
Module 7: Query Optimization Techniques
- Analyzing execution plans
- Best practices for writing efficient queries
- Index usage and maintenance tips
Module 8: Practical Exercises and Case Studies
- Hands-on challenges based on real-world scenarios
- Query performance tuning exercises
- Mini-project: Building optimized queries for a business case
