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Mastering Oracle SQL Functions with SQL Developer

EDUCBA via Coursera

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Details

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Provider

Coursera
Pricing

Paid Course
Languages

English
Certificate

Certificate Available
Effort

5 hours 37 minutes
Sessions

Self-Paced
Level

Advanced
Subtitles

English

Found in

Part of

Oracle SQL 21c: Database Design & Query Mastery

Overview

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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.

Syllabus

Mastering SQL Data Structures and Operators

This module introduces learners to the foundational building blocks of Oracle SQL queries with a focus on data structuring and advanced operators. Learners will explore how to simplify reporting using CUBE, UNPIVOT, and GROUPING SETS, along with optimizing performance through views and indexes. By the end of this module, learners will confidently analyze and manipulate datasets using grouping, summarization, and retrieval optimization techniques that are essential in real-world business intelligence and database management.

Practical Applications of SQL Functions

This module emphasizes the practical application of SQL’s conditional and analytic functions to solve complex business problems. Learners will practice building logic-driven queries using CASE and DECODE, handle NULL values with NVL, NVL2, and COALESCE, and apply advanced ranking and partitioning with analytic functions such as ROW_NUMBER, RANK, DENSE_RANK, and NTILE. By mastering these techniques, learners will be able to design dynamic, business-ready SQL queries that provide actionable insights and robust reporting solutions.