Course Oracle SQL

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Breadcrumb Abstract Shape

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
    • =
    • < 
    • =
    • <=
    • <> 
  • 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