Advanced SQL Programming

Elevate your SQL expertise with our Advanced SQL Programming course designed for database professionals, SQL developers, and data analysts seeking to master complex data manipulation techniques and relational database management.

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Essential Skills Gained

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Understand and apply entity-relationship modeling conventions and relational database concepts.

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Utilize SQL functions for data grouping and aggregation, and manage null values in queries.

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Implement advanced SQL queries using joins and subqueries across multiple tables.

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Manage and manipulate database objects using DML and DDL statements effectively.

Format

  • Instructor-led
  • 2 days with lectures and hands-on labs.

Audience

  • SQL Developers
  • Database Professionals
  • Data Analysts
  • IT Professionals

Description

This Advanced SQL Programming course is designed to strengthen your expertise in managing and analyzing relational databases. You will begin with a focus on relational database concepts, including the Entity-Relationship Model and key modeling conventions. Understanding these fundamentals will prepare you for applying more complex techniques in real-world scenarios, using practical examples from the tables provided throughout the course. From there, the course will explore essential SQL functions for grouping and aggregating data, such as the MIN and MAX functions. You'll learn how to use the GROUP BY and HAVING clauses effectively, work with nested functions, and handle null values in your queries. The course also covers various join types, allowing you to retrieve data from multiple tables, manage ambiguous column names, and create efficient queries with inner, outer, and cross joins. In the final sections, the focus shifts to more advanced SQL topics like subqueries and set operators, as well as data manipulation and table management techniques. You'll gain hands-on experience executing subqueries, using set operators like UNION and MINUS, and managing data through DML and DDL statements. By the end, you will be fully prepared to implement advanced SQL solutions, manage database objects, and perform complex data manipulation tasks with confidence. NOTE: This course uses Oracle SQL Developer in the labs, however the tooling is just the means used to teach SQL. This is not a SQL Developer focused course, and prior SQL Developer knowledge is not required. The course focuses on skills and concepts that can be applied to other databases and platforms. If you need a specific alternate database, please inquire for details and options.

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Upcoming Course Dates

October 2-3, 2025

10:00 AM - 6:00 PM

Virtual: Online - US/Eastern

Enroll

$1895

October 2-3, 2025

10:00 AM - 6:00 PM

Virtual: Online - US/Eastern

Enroll

$1895

November 20-21, 2025

10:00 AM - 6:00 PM

Virtual: Online - US/Eastern

Enroll

$1895

Course Outline

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Introduction

  1. Relational Database Concept

  2. Entity Relationship Model

  3. Relationship Modeling Conventions

  4. Tables used in this course

Group Functions

  1. Types of Group Functions

  2. Using the MIN and MAX Functions

  3. Group Functions and Null Values

  4. Using the GROUP BY Clause

  5. Illegal Queries Using Group

  6. Using the HAVING Clause

  7. Nesting Group Functions

Displaying Data from Multiple Tables Using Joins

  1. Types of Joins

  2. Retrieving Records with Natural Joins

  3. Retrieving Records with the USING Clause

  4. Qualifying Ambiguous Column Names

  5. Creating Joins with the ON Clause

  6. Retrieving Records with Nonequijoins

  7. LEFT/RIGHT OUTER JOIN

  8. Creating Cross Joins

Using Subqueries to Solve Queries

  1. Subquery Syntax

  2. Types of Subqueries

  3. Executing Single-Row Subqueries

  4. HAVING Clause with Subqueries

  5. No Rows Returned by the Inner Query

  6. Using the ALL Operator in Multiple-Row Subqueries

  7. Multiple-Column Subquery

  8. Null Values in a Subquery

Using Set Operators

  1. Set Operator Rules

  2. UNION Operator

  3. Using the INTERSECT Operator

  4. Using the MINUS Operator

  5. Matching SELECT Statements

  6. Using the ORDER BY Clause in Set

Managing Tables Using DML Statements

  1. HR Application Scenario

  2. Data Manipulation Language

  3. Inserting New Rows

  4. Inserting Specific Date and Time Values

  5. UPDATE Statement Syntax

  6. Updating Two Columns with a Subquery

  7. Deleting Rows from a Table

  8. TRUNCATE Statement

  9. Committing Data

  10. Implementing Read Consistency

Introduction to Data Definition Language

  1. Database objects

  2. Naming rules

  3. Data types

  4. CREATE TABLE statement

  5. Overview of constraints: NOT NULL, UNIQUE, PRIMARY KEY, FOREIGN KEY, CHECK constraints

  6. Creating a table using a subquery

  7. ALTER TABLE statement

  8. DROP TABLE statement

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