Oracle SQL 21c: Database Design & Query Mastery

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.

Master advanced Oracle SQL techniques to analyze, optimize, and transform data for real-world business reporting and decision-making. In this course, you will build practical skills in Oracle SQL Developer by applying advanced SQL operators, designing efficient queries with views and indexes, and using conditional and analytic functions to solve complex data challenges. You will begin by restructuring and summarizing datasets with CUBE, ROLLUP, GROUPING SETS, and UNPIVOT while improving query performance through views and indexes. As you progress, you will create logic-driven queries using CASE and DECODE, manage NULL values with NVL, NVL2, and COALESCE, and generate deeper business insights with analytic functions such as ROW_NUMBER, RANK, DENSE_RANK, and NTILE. Designed for learners seeking to strengthen their Oracle SQL skills for data analysis, business intelligence, and database management, this course emphasizes hands-on, case-study-driven practice rather than theory alone. By the end of the course, you will be able to optimize SQL queries, evaluate query performance, analyze multidimensional data, and build flexible, business-ready reporting solutions using advanced Oracle SQL techniques.