Master Oracle SQL Developer for Databases & Tables
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Master Oracle SQL Developer for Databases & Tables
This course is part of Oracle SQL 21c: Database Design & Query Mastery Specialization
Instructor: EDUCBA
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What you'll learn
Design relational databases, construct tables, and apply constraints in Oracle SQL.
Implement joins, subqueries, and aggregate functions for business insights.
Solve real-world challenges with hierarchical queries, pivots, and advanced filtering.
Skills you'll gain
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12 assignments
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There are 3 modules in this course
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 studyβdriven 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 β 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.
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.
What's included
10 videos4 assignments
10 videosβ’Total 92 minutes
- Introduction to Oracle SQL Developer and Database Setupβ’2 minutes
- Creating the Worker Table with Primary Keyβ’31 minutes
- Defining Columns and Constraints in Worker Tableβ’10 minutes
- Creating Tables and Working with Basic SQL Commandsβ’9 minutes
- Creating and Inserting Data into Custom Tableβ’7 minutes
- Understanding SQL Joins with Dummy Tablesβ’5 minutes
- Printing Worker dataβ’8 minutes
- Pattern Matching Queries on Worker Tableβ’10 minutes
- Fetching Duplicate Records in SQLβ’5 minutes
- Finding Records Present in One Table but Not in Anotherβ’5 minutes
4 assignmentsβ’Total 60 minutes
- Getting Started with SQL Developerβ’10 minutes
- Writing Basic Queries for Data Retrievalβ’10 minutes
- Filtering and Grouping Dataβ’10 minutes
- Mastering SQL Basics and Data Creationβ’30 minutes
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.
What's included
10 videos4 assignments
10 videosβ’Total 64 minutes
- Query for Nth Highest Salary (Advanced Example)β’6 minutes
- Fetching Intersecting Records Using INTERSECTβ’8 minutes
- Finding Department-wise Highest Salary Employeesβ’5 minutes
- Working with Numeric and Character Data in Queriesβ’4 minutes
- Handling NULL Values in SQL Queriesβ’7 minutes
- Creating and Populating a Data Table with Insert Statementsβ’7 minutes
- Using Row ID and Mod Function in Queriesβ’5 minutes
- Counting Characters in Strings Using SQL Functionsβ’7 minutes
- Pivoting Data for Summarized Resultsβ’8 minutes
- Working with Hierarchical Data (Root, Inner, and Leaf Nodes)β’6 minutes
4 assignmentsβ’Total 60 minutes
- Advanced Salary and Employee Queriesβ’10 minutes
- Managing Complex Data Scenariosβ’10 minutes
- Functions and Pivoting Dataβ’10 minutes
- Advanced SQL Querying and Data Analysisβ’30 minutes
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.
What's included
9 videos4 assignments
9 videosβ’Total 58 minutes
- Creating Dummy Tables for Join Examplesβ’6 minutes
- Implementing LEFT JOIN (Left Outer Join)β’7 minutes
- Understanding FULL OUTER JOIN in SQLβ’4 minutes
- Performing CROSS JOIN with Sample Tablesβ’8 minutes
- Using GROUP BY with COUNT for Order Analysisβ’5 minutes
- Advanced HAVING Clause with Grouped Dataβ’6 minutes
- Using UNION Operator with Multiple Tablesβ’7 minutes
- Identifying Records Missing from Related Tablesβ’9 minutes
- Finding Customers Without Orders in a Given Yearβ’7 minutes
4 assignmentsβ’Total 60 minutes
- Deep Dive into SQL Joinsβ’10 minutes
- Grouping, HAVING, and Unionsβ’10 minutes
- Subqueries and Business Scenariosβ’10 minutes
- SQL Joins, Sets, and Real-World Applicationsβ’30 minutes
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The instructor spoke very clear and was very knowledgeable and patient.
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