Advanced SQL for Data Analysts

Master advanced SQL techniques for data analysis, query optimization, and data management to unlock deeper insights and drive better business decisions.

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Query Optimization and Performance Tuning

Unit 1: Understanding Query Performance

Unit 2: Indexing Strategies

Unit 3: Query Rewriting and Optimization Techniques

Unit 4: Advanced Performance Tuning

Window Functions for Advanced Analysis

Unit 1: Introduction to Window Functions

Unit 2: Ranking Functions

Unit 3: Value and Offset Functions

Unit 4: Advanced Window Function Applications

Advanced Data Aggregation Techniques

Unit 1: Introduction to Advanced Aggregation

Unit 2: Deep Dive into GROUPING SETS

Unit 3: ROLLUP for Hierarchical Aggregation

Unit 4: CUBE for Multi-Dimensional Reporting

Unit 5: Combining Aggregation Techniques

Stored Procedures, UDFs, and Triggers

Unit 1: Introduction to Stored Procedures

Unit 2: Advanced Stored Procedure Techniques

Unit 3: User-Defined Functions (UDFs)

Unit 4: Triggers for Data Integrity

Unit 5: Best Practices and Considerations

Common Table Expressions (CTEs) and Subqueries

Unit 1: Introduction to CTEs

Unit 2: Recursive CTEs

Unit 3: Subqueries

Data Management and Security

Unit 1: Data Partitioning Strategies

Unit 2: Transaction Management and Isolation Levels

Unit 3: Data Masking and Anonymization