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Course Outline

Part 1: SQL Fundamentals

Introduction to SQL and Databases

  • Conceptual understanding of databases
  • Overview of SQL
  • Configuring the SQL development environment

SQL Syntax and Basic Queries

  • Review of SQL syntax
  • Using SELECT statements
  • Data filtering using the WHERE clause

Working with Functions and Aggregates

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

Joining Tables

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

Subqueries and Set Operations

  • Constructing subqueries
  • Using UNION, INTERSECT, and EXCEPT

Data Manipulation

  • INSERT INTO syntax
  • UPDATE operations
  • DELETE operations


Part 2: Intermediate SQL

Advanced Data Filtering

  • Refined techniques for the WHERE clause
  • Pattern matching with the LIKE operator
  • Utilizing IN and BETWEEN operators

Complex Joins and Subqueries

  • Self-joins
  • Non-correlated and correlated subqueries
  • Using the EXISTS clause

Working with Indexes and Views

  • Impact of indexes on query performance
  • Creation and implementation of views

Advanced Functions and Stored Procedures

  • User-defined functions
  • Implementing stored procedures and triggers
  • Error handling strategies in SQL

Data Transformation and Analysis

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

Database Design and Normalization

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

Performance Tuning and Optimization

  • Techniques for query optimization
  • Analyzing execution plans
  • Best practices for performance tuning

SQL in Real-World Applications

  • Integrating SQL with other technologies
  • Analysis of case studies and practical scenarios
  • Capstone project: Developing a database solution from the ground up

Wrap-up and Future Directions

Requirements

  • Familiarity with basic computer operations.
  • Prior experience with any programming language is advantageous, though not mandatory.

Target Audience

  • Data analysts
  • Database professionals
  • Software developers
 35 Hours

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