Overview

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Master practical SQL through hands-on case studies that help you design relational databases, build tables with constraints, write efficient queries, and analyze business data using Oracle SQL Developer. Throughout this course, you will progress from SQL fundamentals to advanced querying techniques while solving realistic database challenges that strengthen your analytical thinking. You will begin by creating databases and tables, inserting data, and retrieving information with filtering, sorting, and grouping techniques. As you advance, you will construct complex SQL queries, perform department-level and salary analysis, manage NULL values, apply SQL functions, create pivot reports, and work with hierarchical queries. The course also explores joins, set operators, aggregate functions, GROUP BY, HAVING, UNION, and subqueries to solve practical business reporting and decision-making scenarios. Designed for aspiring data analysts, business professionals, application developers, and anyone seeking hands-on SQL experience, this course emphasizes applying SQL to real-world problems rather than simply learning syntax. Each module builds on the previous one, enabling you to confidently create efficient queries, combine data from multiple tables, summarize datasets, identify missing records, and transform raw data into meaningful business insights using structured, case study–driven learning.

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.