Oracle SQL is the structured query language used to store, retrieve, manage, and analyze data in Oracle Database, one of the most widely used enterprise-grade database systems in the world. It follows ANSI SQL standards while providing powerful Oracle-specific extensions for performance, security, and advanced analytics.
What Oracle SQL Is Used For
Querying data from single or multiple tables
Managing database objects (tables, views, indexes)
Modifying data (INSERT, UPDATE, DELETE, MERGE)
Enforcing data integrity with constraints
Creating reports and business queries
Supporting enterprise applications (Banking, ERP, Telecom, Govt. systems)
Key Features of Oracle SQL
High-performance querying for large datasets
Advanced joins & subqueries
Analytical (window) functions for reporting
Strong data integrity & security controls
Scalability for small systems to large enterprises
Seamless integration with PL/SQL, Java, .NET, and web apps
Oracle SQL vs PL/SQL
SQL: Used to interact with data (what data you want)
PL/SQL: Used for programming logic (how to process data)
Note: SQL is the foundation; PL/SQL builds on top of it.
Who Should Learn Oracle SQL
Students & fresh graduates
Software developers
Database administrators (DBA)
Banking & enterprise IT professionals
Data analysts & MIS officers
Oracle certification candidates
Career Value
Oracle SQL skills are highly valued in:
Banks & financial institutions
Government & public sector projects
Large enterprises using Oracle ERP
Software companies & data-driven roles
Common roles include:
SQL Developer
Oracle Database Administrator
Application Support Engineer
Data Analyst (Oracle-based systems)
Learning Path
Oracle SQL fundamentals
Advanced queries & performance tuning
Security & access control
Transition to PL/SQL or Oracle DBA tracks
| Title | Details |
|---|---|
| Course Fee | ৳ 15,000 |
| Training Method | Online & Offline |
| Total Modules | 12 |
| Course Duration | 40 Hours |
| Total Session | 2Hours |
| Class Duration | 2 Hours |
Introduction to Databases & Oracle SQL
What is a Database?
RDBMS concepts
Oracle Database architecture (basic)
SQL vs PL/SQL
SQL standards & Oracle SQL environment
Tools overview (SQL*Plus, SQL Developer)
SQL Basics – Data Retrieval
SELECT statement
Column aliases
Arithmetic expressions
DISTINCT keyword
WHERE clause
Comparison & logical operators
ORDER BY clause
Single-Row Functions
Character functions (UPPER, LOWER, SUBSTR)
Number functions (ROUND, TRUNC, MOD)
Date functions (SYSDATE, ADD_MONTHS, MONTHS_BETWEEN)
Conversion functions (TO_CHAR, TO_DATE, TO_NUMBER)
NULL handling (NVL, NVL2, COALESCE)
Group Functions & Aggregation
COUNT, SUM, AVG, MIN, MAX
GROUP BY clause
HAVING clause
Grouping data correctly
Common aggregation mistakes
Joins
Cartesian joins
Inner joins
Outer joins (LEFT, RIGHT, FULL)
Self joins
ANSI vs Oracle join syntax
Join best practices
Subqueries
Single-row subqueries
Multiple-row subqueries (IN, ANY, ALL)
Nested subqueries
Correlated subqueries
EXISTS & NOT EXISTS
Subqueries in SELECT, WHERE, HAVING
Set Operators
UNION & UNION ALL
INTERSECT
MINUS
Rules & performance considerations
Data Manipulation Language (DML)
INSERT (single & multiple rows)
UPDATE with conditions
DELETE vs TRUNCATE
MERGE statement
Transaction control (COMMIT, ROLLBACK, SAVEPOINT)
Data Definition Language (DDL)
CREATE, ALTER, DROP tables
Data types in Oracle
Constraints (PK, FK, UNIQUE, CHECK, NOT NULL)
Indexes (basic concepts)
Views (simple & complex)
Advanced SQL
CASE expressions
DECODE function
Inline views
Scalar subqueries
Analytical functions (ROW_NUMBER, RANK, DENSE_RANK)
Window functions (OVER, PARTITION BY)
Performance & Optimization Basics
Index usage fundamentals
Execution plan (EXPLAIN PLAN)
SQL performance best practices
Common performance issues
Security & Access Control
Users & schemas
Roles & privileges
GRANT & REVOKE
Object-level security
SQL injection awareness
