SQL professionals with strong foundational SQL Server knowledge
Data analysts working with complex datasets
Business analysts performing advanced data analysis
BI developers building SQL-based reports and datasets
Database analysts responsible for query optimization
Application support engineers handling SQL-based systems
Professionals preparing for advanced SQL or data roles
Teams working in SQL Server enterprise environments
Master advanced SQL Server querying and optimization techniques
Instructor-led training with hands-on assignments and guided practice
Work with complex joins, CTEs, and derived tables
Apply analytical (window) functions for advanced reporting
Optimize queries using indexes and execution plans
Design scalable and maintainable SQL queries
Practice real-world SQL performance scenarios
Build enterprise-ready SQL skills for analytics and reporting
SQL Server Advanced Training is an advanced, hands-on course designed for professionals who want to deepen their expertise in writing complex SQL queries, performing advanced data analysis, and optimizing query performance using Microsoft SQL Server. The course focuses exclusively on advanced querying techniques and performance considerations, without covering procedural T-SQL programming constructs.
The training begins with a structured recap of SQL Server fundamentals to ensure a strong baseline across all learners. It then progresses into advanced topics such as complex joins, derived tables, Common Table Expressions (CTEs), correlated subqueries, and analytical (window) functions used in real-world reporting and analytics scenarios.
As the course advances, learners explore performance-oriented SQL techniques including indexes, execution plans, and query optimization strategies. The course also covers advanced use of views and data abstraction to support scalable and maintainable SQL solutions in enterprise environments.
By the end of the course, learners will be able to design efficient, high-performing SQL queries, analyze and optimize query execution, and confidently handle complex data analysis requirements—making this course ideal for SQL professionals working with large datasets and business-critical systems.
To successfully complete SQL Server Advanced Training, learners should have:
Prior experience writing SQL queries using Microsoft SQL Server
Strong understanding of SELECT statements, joins, and aggregations
Familiarity with GROUP BY, HAVING, subqueries, and basic views
Experience working with relational database tables and keys
Comfort using SQL Server Management Studio (SSMS)
By the end of this course, you will be able to:
Write complex and efficient SQL Server queries for large datasets
Use derived tables, CTEs, and advanced subqueries effectively
Apply analytical (window) functions for advanced reporting and analysis
Design queries optimized for performance and scalability
Read and interpret execution plans to identify bottlenecks
Apply indexing strategies to improve query performance
Create and manage advanced views for data abstraction
Implement SQL best practices for enterprise reporting and analytics
This course prepares learners for advanced, query-focused roles that require strong SQL Server expertise in analytics, reporting, and performance optimization. After completing the training, learners will be better prepared for positions such as:
SQL Developer
Senior Data Analyst
Database Analyst
Business Intelligence (BI) Developer
Reporting and Analytics Specialist
Application Support Engineer (Data-Focused)
Data Engineer
Technical Analyst
Module 1: Recap of SQL Server Fundamentals
Review of SELECT queries, joins, filtering, and aggregations
Refreshing GROUP BY, HAVING, subqueries, and views
Reinforcing SQL Server querying best practices
Module 2: Advanced Joins and Complex Query Patterns
Multi-table joins and complex join conditions
Self joins and advanced relationship scenarios
Writing readable and maintainable join queries
Module 3: Inline Views, Derived Tables, and CTEs
Using derived tables in the FROM clause
Common Table Expressions (CTEs) for query structuring
Improving query readability and maintainability
Module 4: Advanced Subqueries and Query Logic
Correlated subqueries
EXISTS and NOT EXISTS
Performance considerations for nested queries
Module 5: Analytical (Window) Functions
Understanding window functions in SQL Server
OVER, PARTITION BY, and ORDER BY
ROW_NUMBER, RANK, DENSE_RANK, running totals
Module 6: Advanced Aggregations and Reporting Queries
Complex GROUP BY and HAVING scenarios
Combining aggregations with window functions
Advanced reporting and analytical query patterns
Module 7: Indexes and Execution Plans
Understanding indexes and their impact on queries
Clustered vs non-clustered indexes
Reading and interpreting execution plans
Module 8: Query Performance Optimization
Identifying slow-running queries
Query refactoring and optimization techniques
Best practices for writing high-performance SQL
Module 9: Advanced Views and Data Abstraction
Creating and managing complex views
Using views for abstraction and reuse
Performance considerations with views
Module 10: Real-World Query Optimization Scenarios
End-to-end advanced querying exercises
Performance tuning case studies
Applying best practices to enterprise datasets
As organizations work with growing volumes of structured data, there is strong demand for professionals who can write advanced SQL queries, analyze complex datasets, and optimize query performance in Microsoft SQL Server. Beyond basic querying, businesses need experts who understand how to design efficient, scalable SQL solutions that support analytics, reporting, and operational decision-making.
SQL Server is widely used across industries such as finance, healthcare, retail, manufacturing, government, and technology. In these environments, poorly written or inefficient queries can impact report performance, dashboards, and downstream systems. Employers increasingly look for professionals who can go beyond basic SQL and apply advanced querying techniques, analytical functions, and performance optimization best practices.
This course directly addresses the growing need for:
Professionals writing complex SQL queries for reporting and analytics
Data and BI teams optimizing SQL Server query performance
Analysts working with large, enterprise-scale datasets
Organizations relying on SQL Server for business-critical reporting
Teams seeking to improve query efficiency and scalability
Professionals advancing from foundational to advanced SQL roles
By strengthening advanced SQL Server querying and optimization skills, learners gain the ability to support high-performance analytics and reporting solutions. This course helps organizations close the gap between basic SQL knowledge and enterprise-ready SQL expertise, ensuring data is accessed efficiently, accurately, and at scale.