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Course Outline

Introduction to Structured Query Language and Relational Data Management

  • Fundamentals of database architecture
  • Overview of standard SQL syntax
  • Management of tables and schemas for government data systems

Foundational Querying Methods

  • Data selection and projection techniques
  • Row filtering using the WHERE clause
  • Result set ordering via ORDER BY

Multi-Table Join Operations

  • Execution of inner, left, right, and full outer joins
  • Integration of disparate data sources
  • Definition and application of join conditions

Aggregate Functions and Grouping Logic

  • Utilization of COUNT, SUM, AVG, MIN, and MAX functions
  • Effective implementation of GROUP BY clauses
  • Application of HAVING clauses to filter aggregated results

Subqueries and Nested Query Structures

  • Implementation of scalar subqueries
  • Use of correlated subqueries for dynamic data retrieval
  • Employment of subqueries in filtering and computational tasks

Data Manipulation and Modification Operations

  • Insertion of new records into databases
  • Modification of existing data entries
  • Secure deletion of data in compliance with government retention policies

Database Objects and Integrity Constraints

  • Administration of primary and foreign key relationships
  • Creation and utilization of database views
  • Establishment of constraints to ensure data integrity and governance

Advanced SQL Capabilities

  • Application of window functions for complex analytical queries
  • Use of Common Table Expressions (CTEs) to enhance code readability and maintainability
  • Principles of performance optimization and query tuning for efficient data processing

Course Summary and Recommended Next Steps

Requirements

  • Foundational knowledge of core data principles
  • Proficiency in utilizing spreadsheets and tabular formats for government operations
  • Working familiarity with standard business software applications

Target Audience

  • Data analysts
  • IT professionals
  • Personnel responsible for managing, querying, and analyzing information assets
 10 Hours

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