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Course Outline

Part 1: SQL Fundamentals

Introduction to SQL and Databases

  • Concepts behind databases
  • Overview of SQL
  • Configuring the SQL environment

SQL Syntax and Basic Queries

  • Overview of SQL syntax
  • Using SELECT statements
  • Filtering data using the WHERE clause

Utilizing Functions and Aggregates

  • Standard SQL functions
  • Aggregate functions: COUNT, SUM, AVG, MAX, MIN
  • Data grouping via GROUP BY

Combining Tables

  • Concepts behind JOINs
  • INNER JOIN implementation
  • LEFT JOIN, RIGHT JOIN, and FULL OUTER JOIN variations

Subqueries and Set Operations

  • Constructing subqueries
  • UNION, INTERSECT, and EXCEPT logic

Data Manipulation

  • INSERT INTO syntax
  • UPDATE commands
  • DELETE operations


Part 2: Intermediate SQL

Advanced Data Filtering

  • Advanced WHERE clause strategies
  • LIKE operator for pattern matching
  • IN and BETWEEN operators

Complex Joins and Subqueries

  • Self-joins
  • Non-correlated and correlated subqueries
  • EXISTS clause application

Managing Indexes and Views

  • Role of indexes and performance impact
  • Creating and utilizing views

Advanced Functions and Stored Procedures

  • User-defined functions
  • Stored procedures and triggers
  • Error management in SQL

Data Transformation and Analysis

  • Pivoting and unpivoting datasets
  • Window functions: ROW_NUMBER, RANK, DENSE_RANK
  • CTEs (Common Table Expressions)

Database Design and Normalization

  • Core database design principles
  • Normal forms and normalization processes
  • Entity-Relationship (ER) modeling

Performance Tuning and Optimization

  • Query optimization strategies
  • Analyzing execution plans
  • Best practices for performance tuning

SQL in Practical Scenarios

  • Integrating SQL with other technologies
  • Case studies and real-world applications
  • Capstone project: Developing a database solution from the ground up

Recap and Future Directions

Requirements

  • Familiarity with basic computer operations
  • Experience with any programming language is advantageous but not mandatory

Target Audience

  • Data analysts
  • Database professionals
  • Software developers
 35 Hours

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