SQL: Basics to Intermediate Training Course

Module 1: Core SQL Fundamentals

Introduction to SQL and Database Architecture

• Concepts of database systems
• Overview of SQL language
• Configuration of the SQL working environment

SQL Syntax and Essential Querying

• Overview of SQL syntax rules
• Constructing SELECT statements
• Data filtering using the WHERE clause

Utilizing Functions and Aggregation

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

Connecting Data through Joins

• Concepts of relational joins
• Application of INNER JOIN
• Exploring LEFT, RIGHT, and FULL OUTER joins

Nested Queries and Set Logic

• Construction of subqueries
• Set operations: UNION, INTERSECT, EXCEPT

Data Manipulation Techniques

• Inserting records with INSERT INTO
• Modifying data via UPDATE
• Removing data using DELETE

Module 2: Advanced SQL Concepts

Advanced Data Filtering Strategies

• Sophisticated WHERE clause applications
• Pattern matching with the LIKE operator
• Range and membership checks using IN and BETWEEN

Complex Relationships and Subqueries

• Self-referential joins
• Distinguishing between correlated and non-correlated subqueries
• Using the EXISTS clause

Optimizing Performance with Indexes and Views

• The role of indexes in query performance
• Creation and utilization of database views

Advanced Functionality and Procedural Logic

• Developing user-defined functions
• Implementing stored procedures and triggers
• Robust error handling strategies in SQL

Data Transformation and Analytical Methods

• Techniques for pivoting and unpivoting datasets
• Window functions: ROW_NUMBER, RANK, DENSE_RANK
• Employing Common Table Expressions (CTEs)

Database Architecture and Structure

• Principles of effective database design
• Application of normal forms and normalization
• Entity-Relationship (ER) modeling techniques

Performance Optimization Strategies

• Methods for optimizing SQL queries
• Analyzing execution plans
• Best practices for performance tuning

SQL in Professional Contexts

• Integration of SQL with broader technology stacks
• Examination of case studies and real-world applications
• Capstone project: Developing a database solution from the ground up

Conclusion and Future Directions