Master Oracle SQL Developer for Databases & Tables

Overview

By completing this course, learners will design relational databases, construct tables with constraints, implement joins, and analyze business data using advanced SQL queries. They will also apply aggregate functions, manage NULL values, pivot datasets, and create subqueries to extract actionable insights. This case study–driven course is designed for learners who want hands-on experience in SQL with Oracle SQL Developer. Beginning with database and table creation, participants progress through increasingly complex scenarios such as finding the nth highest salary, department-level analysis, hierarchical queries, and advanced filtering with GROUP BY and HAVING. Learners will gain practical problem-solving skills by working through real-world style challenges instead of abstract examples. What makes this course unique is its structured approach: each module builds on the last, moving from foundational database creation to advanced business applications. Instead of focusing solely on syntax, the course emphasizes how to think in SQL — transforming raw data into meaningful business insights. By the end, learners will have the confidence to tackle real database challenges, making them more effective in roles across data analysis, business intelligence, and application development.

Syllabus

Mastering SQL Basics and Data Creation

This module introduces learners to Oracle SQL Developer and lays the foundation for working with relational databases. Learners will explore the process of creating databases, defining tables with constraints, and inserting data. The module also covers fundamental SQL queries for sorting, filtering, and grouping data, enabling learners to analyze datasets effectively.

Advanced SQL Querying and Data Analysis

This module deepens SQL expertise by focusing on advanced querying techniques. Learners will work with complex queries such as finding the nth highest salary, department-level analysis, and handling NULL values. The module also introduces functions for string manipulation, pivoting data for reports, and hierarchical queries for structured datasets.

SQL Joins, Sets, and Real-World Applications

This module applies SQL knowledge to solve real-world business challenges using joins, set operators, and subqueries. Learners will explore different join types, group-based analysis, unions, and techniques for identifying missing or unmatched records. By the end of this module, learners will be able to design efficient queries for decision-making and reporting.