Oracle SQL 21c: Database Design & Query Mastery

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.

By the end of this course, learners will be able to apply advanced SQL operators, design efficient queries using views and indexes, and implement analytic and conditional functions to solve real-world business problems. Participants will learn how to restructure and aggregate data with CUBE, ROLLUP, and GROUPING SETS, as well as handle NULL values using NVL, NVL2, and COALESCE. This course goes beyond theory by offering case-study-driven practice in Oracle SQL Developer, ensuring learners gain hands-on experience with query optimization and advanced reporting. Learners will not only understand how to write SQL code but also evaluate performance impacts, analyze multidimensional data, and design logic-driven queries for decision-making. What makes this course unique is its practical approach, combining foundational SQL structures with advanced business-ready techniques such as DECODE, CASE, and ranking functions like ROW_NUMBER, RANK, and DENSE_RANK. By completing this course, learners will confidently create optimized, flexible, and insightful SQL queries that are essential for careers in data analytics, business intelligence, and database management.