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 Duration 10 hours

Course Outline

Foundational Concepts in Structured Query Language and Relational Data Management

  • Examining the architectural components of relational databases
  • Reviewing standard SQL syntax and syntax rules
  • Managing table structures and schema definitions

Fundamental Data Retrieval Procedures

  • Executing SELECT statements for data extraction and projection
  • Applying conditional filters using the WHERE clause
  • Ordering output records via the ORDER BY directive

Integrating Multiple Data Sources

  • Utilizing inner, left outer, right outer, and full outer joins
  • Merging data from disparate database tables
  • Defining and managing join predicates

Statistical Analysis and Data Aggregation

  • Employing aggregate functions such as COUNT, SUM, AVG, MIN, and MAX
  • Structuring data sets with the GROUP BY clause
  • Applying post-aggregation filters using the HAVING clause

Nested Query Structures and Subqueries

  • Implementing scalar subqueries for single-value returns
  • Developing correlated subqueries for row-by-row evaluation
  • Leveraging subqueries to enhance filtering logic and complex calculations

Data Maintenance and Modification Protocols

  • Inserting new records into existing tables
  • Modifying current data entries through UPDATE statements
  • Executing secure and accurate data deletion procedures

Database Integrity Objects and Structural Constraints

  • Defining primary and foreign key relationships
  • Creating and utilizing database views
  • Enforcing data integrity through constraints and business rules

Advanced SQL Methodologies

  • Applying window functions for analytical computations
  • Utilizing Common Table Expressions (CTEs) for modular query design
  • Assessing query performance and applying optimization techniques

Conclusion and Recommended Learning Pathways

Requirements

  • Foundational knowledge of core data management concepts
  • Prior experience utilizing spreadsheets or structured tabular information
  • Familiarity with standard business application workflows

Intended Professional Audience

  • Data analysts engaged in operational reporting
  • Information technology specialists and systems administrators
  • Personnel responsible for the management, interrogation, and analysis of institutional data for government purposes

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