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Course Outline

Overview of SQL and Relational Database Systems

  • Grasping database architecture.
  • Fundamental review of SQL syntax.
  • Managing tables and schemas.

Core Querying Methods

  • Selecting specific data fields.
  • Applying row filters using WHERE clauses.
  • Ordering output via ORDER BY.

Integrating Multiple Tables

  • Mastering inner, left, right, and full outer joins.
  • Merging data from various sources.
  • Defining and resolving join criteria.

Data Aggregation and Grouping Strategies

  • Utilizing functions like COUNT, SUM, AVG, MIN, and MAX.
  • Effective application of GROUP BY.
  • Refining grouped results using HAVING.

Nested Queries and Subqueries

  • Working with scalar subqueries.
  • Constructing correlated subqueries.
  • Leveraging subqueries for complex filtering and computations.

Modifying and Manipulating Data

  • Inserting new records.
  • Amending existing entries.
  • Securely deleting data.

Database Objects and Integrity Constraints

  • Comprehending primary and foreign key relationships.
  • Utilizing database views.
  • Enforcing data integrity through constraints and rules.

Sophisticated SQL Methods

  • Applying window functions.
  • Using Common Table Expressions (CTEs).
  • Fundamentals of query optimization and performance tuning.

Recap and Future Learning Paths

Requirements

  • A foundational grasp of core data concepts.
  • Practical experience with spreadsheets or structured tabular data.
  • General familiarity with standard business software applications.

Target Audience

  • Data analysts.
  • Information technology professionals.
  • Individuals responsible for managing, querying, and interpreting data.
 10 Hours

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