Oracle Course
Master database management with our Oracle Course. Learn SQL, data handling, and database design to build strong backend skills. Ideal for students and professionals aiming for careers in data and software development.
- Recognized Certification
- Beginner Friendly Course
- Practical Computer Training
- Industry Expert Trainer
- Government Recognized Certification
- Beginner Friendly Course
- Practical Computer Training
- Industry Expert Trainer
About Course
Oracle is one of the most powerful and widely used relational database management systems (RDBMS) in the world. This course is designed to help you understand how data is stored, managed, and retrieved in real-world applications.
You will learn SQL (Structured Query Language), database design, and advanced data operations using Oracle. With practical training and real-time examples, this course prepares you for roles in database management, backend development, and data handling.
This course is highly valuable for anyone looking to work with applications, software systems, or data-driven technologies.
What Will You Learn
- Understand database concepts and architecture
- Work with Oracle Database environment
- Write SQL queries for data retrieval
- Perform data insertion, updating, and deletion
- Use joins to combine multiple tables
- Apply constraints and data integrity rules
- Work with aggregate and group functions
- Understand normalization and database design
- Perform subqueries and advanced SQL operations
- Manage and organize large datasets efficiently
Tools You Will Learn
Learn industry-relevant tools with practical training designed to make you confident, skilled, and job-ready.
Oracle Course Curriculum
This program covers important concepts and practical skills required for today’s digital world.
Module 1: what is oracle
- Introduction to Oracle Database
- History and Evolution of Oracle
- Features of Oracle Database
- Advantages of Oracle Database
- Oracle Database Architecture
- Oracle Instance and Database
- Components of Oracle Database
- Oracle Database Editions
- Oracle Database Environment
- Oracle Client and Server Architecture
- Oracle Database Objects Overview
- Uses of Oracle Database in Industry
- Oracle Database Applications
- Oracle vs Other Database Management Systems
- Future Scope of Oracle Database Technology
Module 2: Select
- Introduction to SELECT
- SELECT Syntax
- Selecting Columns
- Using
*(All Columns) - Column Aliases
DISTINCTKeywordWHEREClause- Comparison Operators
- Logical Operators (
AND,OR,NOT) LIKE,IN,BETWEEN- NULL Values
ORDER BYClause- Subqueries
- Practical Examples
Module 3: Select Distinct
- Introduction to SELECT DISTINCT
- Purpose of DISTINCT
- Syntax of SELECT DISTINCT
- Removing Duplicate Records
- Using DISTINCT with One Column
- Using DISTINCT with Multiple Columns
- Difference Between SELECT and SELECT DISTINCT
- DISTINCT with ORDER BY
- Performance Considerations
- Practical Examples
Module 4: where clause
- Introduction to WHERE Clause
- Purpose of WHERE Clause
- Syntax of WHERE Clause
- Filtering Records Using Conditions
- Comparison Operators (
=, <, >, <=, >=, <>) - Logical Operators (
AND, OR, NOT) - Using
LIKEOperator - Using
INOperator - Using
BETWEENOperator - Handling NULL with
IS NULL/IS NOT NULL - WHERE Clause with SELECT, UPDATE, DELETE
- Multiple Conditions in WHERE Clause
- Practical Examples
Module 5: And ,Or, Not
- Introduction to Logical Operators
- Purpose of AND, OR, NOT
- AND Operator (Multiple Conditions Must Be True)
- OR Operator (Any One Condition True)
- NOT Operator (Reverses Condition)
- Syntax of AND, OR, NOT
- Combining Multiple Conditions
- Using AND with WHERE Clause
- Using OR with WHERE Clause
- Using NOT with Conditions
- Precedence of Logical Operators
- Practical Examples in SELECT Queries
Module 6: In,between,like
- Introduction to IN, BETWEEN, LIKE
- Purpose of IN Operator
- Syntax of IN Operator
- Using IN with Multiple Values
- Purpose of BETWEEN Operator
- Syntax of BETWEEN Operator
- Using BETWEEN for Range Conditions
- Purpose of LIKE Operator
- Syntax of LIKE Operator
- Using Wildcards (
%,_) in LIKE - IN vs OR Comparison
- BETWEEN vs Comparison Operators
- LIKE vs Exact Match
- Practical Examples in SELECT Queries
Module 7: Comparison Operator
- Introduction to Comparison Operators
- Purpose of Comparison Operators
- Equal to (
=) Operator - Not Equal to (
<>,!=) Operator - Greater Than (
>) Operator - Less Than (
<) Operator - Greater Than or Equal To (
>=) Operator - Less Than or Equal To (
<=) Operator - Using Comparison Operators in WHERE Clause
- Comparison with Numeric Values
- Comparison with Character Values
- Comparison with Dates
- Practical Examples in SELECT Queries
Module 8: Aggregate /Group function,string function
Aggregate / Group Functions
- Introduction to Aggregate Functions
- Purpose of Aggregate Functions
- COUNT Function
- SUM Function
- AVG Function
- MIN Function
- MAX Function
- GROUP BY Clause
- HAVING Clause
- Difference Between WHERE and HAVING
- Aggregate Functions with NULL Values
- Practical Examples
String Functions
- Introduction to String Functions
- Purpose of String Functions
- UPPER Function
- LOWER Function
- INITCAP Function
- CONCAT Function
- SUBSTR Function
- LENGTH Function
- INSTR Function
- TRIM Function
- REPLACE Function
- String Functions in SELECT Queries
- Practical Examples
Module 9: update,delete,insert
- Introduction to DML Commands
- INSERT Statement Overview
- Syntax of INSERT
- Inserting Single Row
- Inserting Multiple Rows
- INSERT with Specific Columns
- UPDATE Statement Overview
- Syntax of UPDATE
- Updating Single Column
- Updating Multiple Columns
- Using WHERE Clause in UPDATE
- DELETE Statement Overview
- Syntax of DELETE
- Deleting Specific Rows
- Deleting All Rows
- Using WHERE Clause in DELETE
- Difference Between DELETE and TRUNCATE
- Practical Examples of DML Commands
Module 10: Joins
- Introduction to Joins
- Need for Joins in Database
- Types of Joins
- INNER JOIN
- LEFT OUTER JOIN
- RIGHT OUTER JOIN
- FULL OUTER JOIN
- CROSS JOIN
- SELF JOIN
- Equi Join
- Non-Equi Join
- Joining Multiple Tables
- Join Conditions using WHERE and ON Clause
- Difference Between INNER and OUTER Joins
- Practical Examples of Joins
Module 11: subquery
Module 12: having,group by ,order by clause
- Introduction to GROUP BY Clause
- Purpose of GROUP BY
- Syntax of GROUP BY
- Using GROUP BY with Aggregate Functions
- Grouping Multiple Columns
- Introduction to HAVING Clause
- Difference Between WHERE and HAVING
- Using HAVING with GROUP BY
- Filtering Grouped Data
- Introduction to ORDER BY Clause
- Purpose of ORDER BY
- Syntax of ORDER BY
- Sorting Data in Ascending Order (ASC)
- Sorting Data in Descending Order (DESC)
- ORDER BY with Multiple Columns
- Practical Examples of GROUP BY, HAVING, ORDER BY
Module 13: union
- Introduction to UNION
- Purpose of UNION Operator
- Syntax of UNION
- Combining Results of Multiple SELECT Queries
- Conditions for Using UNION
- Removing Duplicate Records with UNION
- UNION ALL Operator
- Difference Between UNION and UNION ALL
- Column Compatibility Rules in UNION
- Ordering Results with ORDER BY in UNION
- Practical Examples of UNION Queries
Module 14: intersect
- Introduction to INTERSECT
- Purpose of INTERSECT Operator
- Syntax of INTERSECT
- Finding Common Records Between Queries
- Conditions for Using INTERSECT
- Column Matching Rules in INTERSECT
- Duplicate Removal in INTERSECT
- INTERSECT vs INNER JOIN
- INTERSECT vs UNION
- Using ORDER BY with INTERSECT
- Practical Examples of INTERSECT Queries
Module 15: minus
- Introduction to MINUS Operator
- Purpose of MINUS
- Syntax of MINUS
- Finding Difference Between Two Queries
- Conditions for Using MINUS
- Column Matching Rules in MINUS
- Removing Common Records
- MINUS vs INTERSECT
- MINUS vs UNION
- Handling Duplicate Records in MINUS
- Using ORDER BY with MINUS
- Practical Examples of MINUS Queries
Module 16: Alter,Drop
ALTER Statement
- Introduction to ALTER Command
- Purpose of ALTER Statement
- Syntax of ALTER
- Adding Columns to a Table (
ADD) - Modifying Columns (
MODIFY) - Renaming Columns (
RENAME COLUMN) - Renaming Tables
- Dropping Columns from Table
- Constraints with ALTER (ADD/DROP Constraints)
- Practical Examples of ALTER
DROP Statement
- Introduction to DROP Command
- Purpose of DROP Statement
- Syntax of DROP
- Dropping Tables
- Dropping Database Objects
- Dropping Views, Indexes, and Constraints
- Difference Between DROP and DELETE
- Difference Between DROP and TRUNCATE
- Effects of DROP on Data and Structure
- Practical Examples of DROP
Module 17: view,index,sequence
VIEW
- Introduction to View
- Purpose of View
- Creating a View
- Simple View and Complex View
- Using Views for Data Security
- Updating Data through Views
- Dropping a View
- Advantages of Views
INDEX
- Introduction to Index
- Purpose of Index
- Types of Index (Unique, Non-Unique)
- Creating an Index
- Composite Index
- How Index Improves Performance
- Dropping an Index
- Advantages and Disadvantages of Index
SEQUENCE
- Introduction to Sequence
- Purpose of Sequence
- Creating a Sequence
- NEXTVAL and CURRVAL
- Using Sequence in INSERT Statement
- Altering a Sequence
- Dropping a Sequence
- Advantages of Sequence in Oracle
Module 18: plsql syllabus
Module 19: Overview
- Introduction to PL/SQL
- What is PL/SQL (Procedural Language for SQL)
- Features of PL/SQL
- Advantages of PL/SQL
- PL/SQL Block Structure
- Types of PL/SQL Blocks (Anonymous Block, Named Block)
- PL/SQL Architecture
- Difference Between SQL and PL/SQL
- PL/SQL Execution Flow
- PL/SQL Environment Setup
- Applications of PL/SQL in Oracle Database
- Real-world Uses of PL/SQL
- Best Practices in PL/SQL Programming
Module 20: Basic Syntax
- Structure of PL/SQL Block
- DECLARE Section (Optional)
- BEGIN Section (Executable Part)
- EXCEPTION Section (Error Handling)
- END Statement
- Semicolon Usage in PL/SQL
- Variables Declaration Syntax
- Data Types in PL/SQL
- Assignment Operator (
:=) - Writing Simple PL/SQL Block
- Anonymous Block Syntax
- Output Using
DBMS_OUTPUT.PUT_LINE - Comments in PL/SQL (
--and/* */)
Module 21: datatypes
- Introduction to Data Types in PL/SQL
- Scalar Data Types
- Number Data Type
- Character Data Types (CHAR, VARCHAR2)
- Date Data Type
- Boolean Data Type
- Large Object Types (LOBs)
- CLOB, BLOB, BFILE Types
- Anchored Data Types (%TYPE, %ROWTYPE)
- User-Defined Data Types
- Constants and Data Types
- Data Type Conversion (Implicit and Explicit)
- Choosing Appropriate Data Types
- Practical Usage of Data Types in PL/SQL
Module 22: variables,operators
Variables
- Introduction to Variables in PL/SQL
- Declaration of Variables
- Initialization of Variables
- Naming Rules for Variables
- Types of Variables (Scalar, Composite basics)
- %TYPE Attribute for Variables
- %ROWTYPE Attribute for Variables
- Scope of Variables
- Constants in PL/SQL
- Assigning Values to Variables (
:=) - Displaying Variable Values
Operators
- Introduction to Operators in PL/SQL
- Arithmetic Operators (+, -, *, /)
- Relational Operators (=, <>, >, <, >=, <=)
- Logical Operators (AND, OR, NOT)
- Assignment Operator (
:=) - String Concatenation Operator (||)
- Comparison Operators in Conditions
- Operator Precedence
- Using Operators in PL/SQL Expressions
- Practical Examples of Operators in PL/SQL
Module 23: conditions
- Introduction to Conditional Statements in PL/SQL
- Need of Conditions in Programming
- IF Statement
- IF-THEN Structure
- IF-THEN-ELSE Structure
- IF-THEN-ELSIF Ladder
- Nested IF Statements
- CASE Statement (Simple CASE)
- Searched CASE Statement
- Comparison Operators in Conditions
- Logical Operators in Conditions
- Using Conditions in PL/SQL Blocks
- Practical Examples of Conditions
Module 24: loops
- Introduction to Loops in PL/SQL
- Need of Looping Statements
- Simple LOOP
- EXIT and EXIT WHEN Statement
- WHILE LOOP
- FOR LOOP
- Numeric FOR LOOP
- Reverse FOR LOOP
- Nested Loops
- CONTINUE Statement
- CONTINUE WHEN Statement
- Loop Control Statements
- Infinite Loops
- Practical Examples of Loops in PL/SQL
Module 25: procedure
Module 26: functions
- Introduction to Functions in PL/SQL
- Need and Importance of Functions
- Syntax of Function
- Creating a Function
- IN Parameters in Function
- RETURN Statement in Function
- Executing a Function
- Difference Between Procedure and Function
- Using Functions in SQL Statements
- Stored Functions in Oracle
- Dropping a Function
- Functions with DML Operations
- Advantages of Functions
- Practical Examples of Functions in PL/SQL
Module 27: dbms output
- Introduction to DBMS_OUTPUT
- Purpose of DBMS_OUTPUT Package
- Enabling Output (
SET SERVEROUTPUT ON) - PUT_LINE Procedure
- PUT Procedure
- NEW_LINE Procedure
- GET_LINE Procedure
- GET_LINES Procedure
- Buffer Concept in DBMS_OUTPUT
- Displaying Messages in PL/SQL Blocks
- Debugging Using DBMS_OUTPUT
- Limitations of DBMS_OUTPUT
- Best Practices for Using DBMS_OUTPUT
- Practical Examples in PL/SQL Programs
Module 28: cursor
- Introduction to Cursor in PL/SQL
- Need and Importance of Cursor
- Types of Cursors
- Implicit Cursor
- Explicit Cursor
- Cursor Attributes (%FOUND, %NOTFOUND, %ROWCOUNT, %ISOPEN)
- Declaring a Cursor
- Opening a Cursor
- Fetching Data from Cursor
- Closing a Cursor
- Cursor FOR Loop
- Parameterized Cursor
- Cursor with SELECT Statement
- Cursor Life Cycle
- Advantages of Cursors
- Practical Examples of Cursors in PL/SQL