Oracle SQL
About Course
Build a strong foundation in Oracle SQL and learn to write efficient queries for managing and analyzing data. This course covers database concepts, SELECT statements, joins, aggregate functions, subqueries, DDL, DML, PL/SQL basics, and performance optimization. Gain practical experience through real-world exercises and projects that prepare you for database development and technical interviews.
Duration: 30 Hours
Category: Data & AI
Skill Level: Beginner
Module: 18
Subjects & Expertise
With extensive experience in Oracle SQL and relational database technologies, I specialize in teaching database design, SQL programming, query optimization, and data management. My training focuses on building strong SQL fundamentals while equipping students with practical skills used in real-world enterprise applications.
Whether you’re a beginner starting your database journey or a professional looking to enhance your SQL expertise, the course provides hands-on learning through real-time examples, practical exercises, and industry-oriented projects. Students gain the confidence to write efficient SQL queries, manage databases, and solve complex business problems using Oracle SQL.
Educational Background
Our Oracle SQL training is designed by industry professionals with extensive experience in database development, enterprise applications, and software engineering. The curriculum combines theoretical concepts with practical implementation to ensure students develop job-ready database skills.
Every module includes hands-on labs, real-world scenarios, and practical assignments, enabling learners to confidently work with Oracle databases in software development, data analysis, and database administration roles.
Modules
1. Introduction to Oracle Database
Duration: 2 Hours
Topics Covered:
- Introduction to Oracle Database
- Features of Oracle Database 11g
- Relational Database Concepts
- Database Architecture Overview
- Logical Database Design
- Physical Database Design
- Tables, Rows, Columns and Relationships
- Introduction to RDBMS Concepts
- Types of SQL Statements
- DDL (Data Definition Language)
- DML (Data Manipulation Language)
- DQL (Data Query Language)
- DCL (Data Control Language)
- TCL (Transaction Control Language)
- Introduction to Course Dataset
- Installing and Configuring SQL Developer
- Connecting to Oracle Database
- Executing SQL Scripts
Saving and Managing SQL Files
2. Retrieving Data Using SELECT Statement
Duration: 2 Hours
Topics Covered:
- Understanding SELECT Statement
- Selecting All Columns
- Selecting Specific Columns
- Column Aliases
- Default Column Headings
- Using Arithmetic Operators
- Operator Precedence
- Understanding NULL Values
- DESCRIBE Command
- Writing Basic SQL Queries
Practical:
- Employee and Department Data Analysis Queries
3. Restricting and Sorting Data
Duration: 2 Hours
Topics Covered:
- Filtering Data Using WHERE Clause
- Comparison Operators
- =
- <Â
- =
- <=
- <>Â
- Logical Operators
- AND
- OR
- NOT
- BETWEEN Operator
- IN Operator
- LIKE Operator
- NULL Conditions
- Operator Precedence
- Sorting Data Using ORDER BY
- Ascending and Descending Order
Practical:
- Employee salary filtering
Department-wise reporting
4. Single Row Functions
Duration: 3 Hours
Topics Covered:
Character Functions
- UPPER()
- LOWER()
- INITCAP()
- LENGTH()
- SUBSTR()
- INSTR()
- CONCAT()
- REPLACE()
Number Functions
- ROUND()
- TRUNC()
- MOD()
Date Functions
- SYSDATE
- ADD_MONTHS()
- MONTHS_BETWEEN()
- NEXT_DAY()
- LAST_DAY()
General Functions
- NVL()
- NVL2()
- NULLIF()
- COALESCE()
Practical:
- Data cleaning and formatting using SQL functions
5. Conversion Functions and Conditional Logic
Duration: 2 Hours
Topics Covered:
- Implicit Data Conversion
- Explicit Data Conversion
Conversion Functions:
- TO_CHAR()
- TO_DATE()
- TO_NUMBER()
Conditional Expressions:
- CASE Expression
- DECODE Function
- Nested Functions
Practical:
- Creating business rules using CASE statements
6. Aggregate Functions and Group Analysis
Duration: 2 Hours
Topics Covered:
- Aggregate Functions
- COUNT()
- SUM()
- AVG()
- MIN()
- MAX()
- GROUP BY Clause
- HAVING Clause
- Difference Between WHERE and HAVING
- Grouping Multiple Columns
Practical:
- Department salary reports
- Employee statistics
7. Joins in Oracle SQL
Duration: 3 Hours
Topics Covered:
Basic Joins
- Understanding Relationships Between Tables
- Equi Join
- Non-Equi Join
Advanced Joins
- INNER JOIN
- LEFT OUTER JOIN
- RIGHT OUTER JOIN
- FULL OUTER JOIN
- SELF JOIN
- CROSS JOIN
Practical:
Employee and Department reporting system
8. Subqueries
Duration: 3 Hours
Topics Covered:
- Introduction to Subqueries
- Single Row Subqueries
- Multiple Row Subqueries
- Nested Subqueries
- Multiple Column Subqueries
- Pairwise Comparison
- Non-Pairwise Comparison
- Scalar Subqueries
- Correlated Subqueries
- EXISTS and NOT EXISTS
- WITH Clause
- Recursive WITH Clause
Practical:
- Finding highest salary employees
- Department-wise comparison
9. Set Operators
Duration: 1 Hour
Topics Covered:
- UNION
- UNION ALL
- INTERSECT
- MINUS
- Rules of Set Operators
- Controlling Result Order
Practical:
- Combining multiple reports
10. Data Manipulation Language (DML)
Duration: 3 Hours
Topics Covered:
- INSERT Statement
- UPDATE Statement
- DELETE Statement
- MERGE Statement
- COMMIT
- ROLLBACK
- SAVEPOINT
- Transaction Management
- Read Consistency Concept
Practical:
- Real-time employee data modification scenarios
11. Database Objects and DDL
Duration: 3 Hours
Topics Covered:
Tables
- Creating Tables
- Altering Tables
- Dropping Tables
- Data Types
Constraints
- Primary Key
- Foreign Key
- Unique Constraint
- NOT NULL Constraint
- Check Constraint
Schema Objects:
- Views
- Sequences
- Indexes
- Synonyms
Practical:
- Designing database objects for applications
12. Views, Sequences, Indexes and Synonyms
Duration: 2 Hours
Topics Covered:
Views
- Simple Views
- Complex Views
- Creating and Managing Views
Sequences
- Creating Sequence
- NEXTVAL
- CURRVAL
- Sequence Management
Indexes
- Creating Indexes
- Maintaining Indexes
- Function-Based Indexes
Synonyms
- Private Synonyms
- Public Synonyms
13. User Management and Security
Duration: 2 Hours
Topics Covered:
- Creating Users
- Changing Passwords
- System Privileges
- Object Privileges
- Roles
- Creating Roles
- Grant Privileges
- Revoke Privileges
- Passing Privileges
14. Managing Schema Objects
Duration: 2 Hours
Topics Covered:
- Adding Columns
- Modifying Columns
- Dropping Columns
- Adding Constraints
- Removing Constraints
- Enable and Disable Constraints
- Flashback Operations
- External Tables
- ORACLE_LOADER
ORACLE_DATAPUMP
15. Data Dictionary Views
Duration: 2 Hours
Topics Covered:
- Understanding Data Dictionary
- USER Views
- ALL Views
- DBA Views Overview
Important Views:
- USER_OBJECTS
- ALL_OBJECTS
- USER_TABLES
- USER_TAB_COLUMNS
- USER_CONSTRAINTS
- USER_INDEXES
- USER_VIEWS
- USER_SEQUENCES
Additional Topics:
- Adding Comments to Tables
- Querying Metadata Information
16. Advanced Data Manipulation
Topics Covered:
- Using Subqueries in DML
- Insert Using Subquery
- Update Using Subquery
- Delete Using Subquery
- WITH CHECK OPTION
- Multi Table Insert
- MERGE Statement
- Tracking Data Changes
17. Date and Time Management
Duration: 3 Hours
Topics Covered:
- Oracle Date Handling
- DATE vs TIMESTAMP
- Time Zones
- CURRENT_DATE
- CURRENT_TIMESTAMP
- LOCALTIMESTAMP
- DBTIMEZONE
- SESSIONTIMEZONE
Advanced Date Functions:
- EXTRACT()
- TZ_OFFSET()
- FROM_TZ()
- TO_TIMESTAMP()
- TO_YMINTERVAL()
- TO_DSINTERVAL()
INTERVAL Data Types:
- YEAR TO MONTH
DAY TO SECOND
18. Regular Expressions in Oracle SQL
Duration: 2 Hours
Topics Covered:
- Introduction to Regular Expressions
- Meta Characters
- Pattern Matching
Functions:
- REGEXP_LIKE()
- REGEXP_INSTR()
- REGEXP_SUBSTR()
- REGEXP_REPLACE()
- REGEXP_COUNT()
Advanced Concepts:
- Sub Expressions
- Complex Pattern Searching
Training Outcome
- Write complex SQL queries
- Work with multiple tables using joins
- Perform advanced data analysis using SQL
- Create and manage database objects
- Handle transactions effectively
- Understand database security concepts
- Work with real-time business datasets
- Prepare for Oracle SQL Developer / Data Analyst / SQL Developer interviews


