SQL COURSE
Master the fundamentals of SQL and database management with our industry-focused SQL Course. Learn how to create, manage, retrieve, and analyze data using real-world database systems. Ideal for students, aspiring developers, data analysts, and working professionals looking to build a strong foundation in data management.
- 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
SQL (Structured Query Language) is the standard language used to communicate with databases. Almost every modern application, website, and business system relies on databases to store and manage information efficiently.
Our SQL Course is designed to help you understand database concepts from the ground up and develop practical skills in querying, managing, and analyzing data. You will learn how to work with databases, create tables, retrieve information, perform advanced queries, and manage large datasets effectively.
Through practical exercises and real-world examples, you will gain the confidence to work with databases used in software development, business intelligence, data analytics, and enterprise applications.
What Will You Learn
- Understand database concepts and architecture
- Learn SQL syntax and command structure
- Create and manage databases and tables
- Retrieve and filter data efficiently
- Insert, update, and delete records
- Work with SQL operators and clauses
- Perform complex joins across multiple tables
- Create and manage SQL views
- Use SQL functions for calculations and reporting
- Write advanced queries and subqueries
- Understand indexing and database optimization
- Learn database security and SQL injection prevention
- Implement data definition and data manipulation operations
- Work with real-world database projects
Tools You Will Learn
Learn industry-relevant tools with practical training designed to make you confident, skilled, and job-ready.
SQL Course Curriculum
This program covers important concepts and practical skills required for today’s digital world.
Module 1: Introduction to SQL
- Introduction to SQL (Structured Query Language)
- Purpose of SQL
- Features of SQL
- Types of SQL Commands (DDL, DML, DCL, TCL)
- SQL vs DBMS vs RDBMS
- SQL Data Types
- SQL Query Structure
- Writing Basic SQL Queries
- Importance of SQL in Databases
- SQL Standards and Versions
- SQL Operators Overview
- SQL Functions Overview
- Applications of SQL in Real World
- Advantages of SQL
- Limitations of SQL
Module 2: SQL RDBMS Concepts and Databases
- Introduction to RDBMS
- Difference Between DBMS and RDBMS
- Relational Database Concept
- Tables, Rows, and Columns
- Primary Key Concept
- Foreign Key Concept
- Candidate Key and Super Key
- Database Constraints (NOT NULL, UNIQUE, CHECK, DEFAULT)
- Relationships in RDBMS (One-to-One, One-to-Many, Many-to-Many)
- Normalization Basics (1NF, 2NF, 3NF)
- Database Schema and Instance
- SQL Databases Overview
- Creating and Using Databases
- Data Integrity in RDBMS
- Advantages of RDBMS
- Real-world Applications of RDBMS
Module 3: SQL Data Types ,Operators and Expression
SQL Data Types
- Introduction to SQL Data Types
- Numeric Data Types (INT, NUMBER, DECIMAL)
- Character Data Types (CHAR, VARCHAR, VARCHAR2)
- Date and Time Data Types (DATE, TIMESTAMP)
- Large Object Data Types (CLOB, BLOB)
- Boolean Data Type (in some DB systems)
- Choosing Appropriate Data Types
- Type Conversion (Implicit and Explicit)
SQL Operators
- Introduction to SQL Operators
- Arithmetic Operators (+, -, *, /)
- Comparison Operators (=, <>, >, <, >=, <=)
- Logical Operators (AND, OR, NOT)
- Special Operators (IN, BETWEEN, LIKE, IS NULL)
- Set Operators (UNION, INTERSECT, MINUS)
- Operator Precedence in SQL
- Usage of Operators in WHERE Clause
SQL Expressions
- Introduction to SQL Expressions
- Arithmetic Expressions
- Column Expressions
- Logical Expressions
- String Expressions
- Date Expressions
- Using Expressions in SELECT Queries
- Aliases in Expressions
- Evaluation of Expressions in SQL Queries
Module 4: DDL Statements: Create - Alter -Drop…
Introduction to DDL
- Introduction to DDL (Data Definition Language)
- Purpose of DDL Commands
- Overview of Database Objects
CREATE Statement
- Introduction to CREATE Command
- Creating Databases
- Creating Tables
- Defining Columns and Data Types
- Primary Key and Constraints in CREATE
- Creating Tables with Constraints
- Creating Indexes and Views
- Syntax and Examples of CREATE
ALTER Statement
- Introduction to ALTER Command
- Adding Columns to a Table
- Modifying Column Structure
- Renaming Columns
- Adding and Dropping Constraints
- Renaming Tables
- Syntax and Examples of ALTER
DROP Statement
- Introduction to DROP Command
- Dropping Tables
- Dropping Databases
- Dropping Views and Indexes
- Difference Between DROP and DELETE
- Effects of DROP on Data and Structure
- Syntax and Examples of DROP
Module 5: DML Statements: Insert,Update, Delete…
Introduction to DML
- Introduction to DML (Data Manipulation Language)
- Purpose of DML Commands
- Overview of Data Manipulation Operations
INSERT Statement
- Introduction to INSERT Command
- Syntax of INSERT
- Inserting Single Row
- Inserting Multiple Rows
- Inserting Data with Specific Columns
- Using DEFAULT Values in INSERT
- INSERT with SELECT Statement
- Practical Examples of INSERT
UPDATE Statement
- Introduction to UPDATE Command
- Syntax of UPDATE
- Updating Single Column Values
- Updating Multiple Columns
- Using WHERE Clause in UPDATE
- Updating Data from Another Table
- Practical Examples of UPDATE
DELETE Statement
- Introduction to DELETE Command
- Syntax of DELETE
- Deleting Specific Rows
- Deleting All Rows
- Using WHERE Clause in DELETE
- Difference Between DELETE and TRUNCATE
- Practical Examples of DELETE
Module 6: DQL Statements: Select
Introduction to DQL
- Introduction to DQL (Data Query Language)
- Purpose of SELECT Statement
- Importance of Data Retrieval
Basic SELECT
- Syntax of SELECT Statement
- Selecting All Columns (
*) - Selecting Specific Columns
- Using Column Aliases
- DISTINCT Keyword
Filtering Data
- WHERE Clause in SELECT
- Comparison Operators
- Logical Operators (AND, OR, NOT)
- IN, BETWEEN, LIKE Operators
- IS NULL / IS NOT NULL
Sorting and Grouping
- ORDER BY Clause
- GROUP BY Clause
- HAVING Clause
- Difference Between WHERE and HAVING
Module 7: SQL Clause:Where,Like,Top,Order By,Group By
WHERE Clause
- Introduction to WHERE Clause
- Purpose of WHERE Clause
- Syntax of WHERE Clause
- Using Comparison Operators
- Using Logical Operators
- Filtering Records in SELECT, UPDATE, DELETE
- Practical Examples
LIKE Clause
- Introduction to LIKE Operator
- Purpose of LIKE Clause
- Wildcards (% and _)
- Pattern Matching in Strings
- Case Sensitivity in LIKE
- Practical Examples
TOP Clause
- Introduction to TOP Clause
- Purpose of TOP Clause
- Syntax of TOP Clause
- Limiting Number of Records
- TOP with ORDER BY
- Database-Specific Usage (SQL Server, etc.)
- Practical Examples
ORDER BY Clause
- Introduction to ORDER BY
- Purpose of ORDER BY
- Sorting in Ascending Order (ASC)
- Sorting in Descending Order (DESC)
- Multiple Column Sorting
- Practical Examples
GROUP BY Clause
- Introduction to GROUP BY
- Purpose of GROUP BY
- Using GROUP BY with Aggregate Functions
- Grouping Multiple Columns
- GROUP BY with HAVING Clause
- Practical Examples
Module 8: SQL Constraints
Introduction to Constraints
- Introduction to SQL Constraints
- Purpose of Constraints in Database
- Importance of Data Integrity
Types of Constraints
- NOT NULL Constraint
- UNIQUE Constraint
- PRIMARY KEY Constraint
- FOREIGN KEY Constraint
- CHECK Constraint
- DEFAULT Constraint
Module 9: SQL Join
Introduction to JOIN
- Introduction to SQL JOIN
- Need of JOIN in SQL
- Purpose of Combining Tables
- Relationship Between Tables
Types of JOIN
- INNER JOIN
- LEFT JOIN (LEFT OUTER JOIN)
- RIGHT JOIN (RIGHT OUTER JOIN)
- FULL OUTER JOIN
- CROSS JOIN
- SELF JOIN
Module 10: SQL Indexes, Views, Clone Tbales
INDEXES
- Introduction to Indexes
- Purpose of Indexes in SQL
- Types of Indexes (Clustered, Non-Clustered)
- Creating Indexes
- Composite Index
- Unique Index
- How Index Improves Performance
- Dropping Indexes
- Advantages and Disadvantages of Indexes
VIEWS
- Introduction to Views
- Purpose of Views
- Creating Views
- Simple View and Complex View
- Updating Data through Views
- Dropping Views
- Advantages of Views
- Views for Security and Data Restriction
CLONE TABLES
- Introduction to Clone Tables
- Purpose of Cloning Tables
- Creating Clone Table using SELECT
- Copying Structure Only
- Copying Structure with Data
- Difference Between Original and Clone Table
- Uses of Clone Tables
- Practical Examples of Table Cloning
Module 11: Date Functions
SQL Date Functions
- Introduction to Date Functions
- Purpose of Date Functions in SQL
- Current Date Functions (SYSDATE, CURRENT_DATE)
- CURRENT_TIMESTAMP Function
- Extracting Date Parts (DAY, MONTH, YEAR)
- DATE FORMAT Functions
- ADD_MONTHS Function
- MONTHS_BETWEEN Function
- NEXT_DAY Function
- LAST_DAY Function
- DATE Arithmetic (Adding/Subtracting Dates)
- Conversion Functions for Dates (TO_DATE, TO_CHAR)
- Date Comparison Operations
- Practical Examples of Date Functions
Module 12: DCL Statements: Transactions, Grant,Revoke…
Introduction to DCL
- Introduction to DCL (Data Control Language)
- Purpose of DCL Statements
- Overview of Database Security
TRANSACTIONS
- Introduction to Transactions
- Properties of Transactions (ACID Properties)
- COMMIT Statement
- ROLLBACK Statement
- SAVEPOINT Concept
- Transaction Control in SQL
- Practical Examples of Transactions
GRANT
- Introduction to GRANT Command
- Purpose of GRANT Statement
- Giving Privileges to Users
- System Privileges vs Object Privileges
- Granting SELECT, INSERT, UPDATE, DELETE Permissions
- GRANT with WITH GRANT OPTION
- Practical Examples of GRANT
REVOKE
- Introduction to REVOKE Command
- Purpose of REVOKE Statement
- Removing User Privileges
- Revoking System and Object Privileges
- Impact of REVOKE on Users
- Practical Examples of REVOKE
Module 13: Sub Queries
Subqueries in SQL
- Introduction to Subqueries
- Purpose of Subqueries
- Types of Subqueries
- Single Row Subquery
- Multiple Row Subquery
- Multiple Column Subquery
- Nested Subquery
- Correlated Subquery
- Subquery in SELECT Clause
- Subquery in WHERE Clause
- Subquery in FROM Clause (Inline View)
- Subquery with IN, ANY, ALL, EXISTS
- Difference Between Subquery and JOIN
- Subquery with UPDATE and DELETE
- Practical Examples of Subqueries
Module 14: SQL Injection and Useful Functions
SQL Injection
- Introduction to SQL Injection
- What is SQL Injection Attack
- How SQL Injection Works
- Types of SQL Injection (In-band, Blind, Out-of-band)
- Error-based SQL Injection
- Union-based SQL Injection
- Blind SQL Injection
- Risks and Security Threats
- Impact on Databases and Applications
- Prevention Techniques
- Using Prepared Statements
- Input Validation and Sanitization
- Parameterized Queries
- Best Practices for Security
Useful SQL Functions
- Introduction to SQL Functions
- Types of SQL Functions
- Single Row Functions
- Aggregate Functions Overview
- String Functions (UPPER, LOWER, CONCAT, SUBSTR)
- Numeric Functions (ROUND, ABS, MOD)
- Date Functions (SYSDATE, ADD_MONTHS, MONTHS_BETWEEN)
- Conversion Functions (TO_CHAR, TO_DATE, TO_NUMBER)
- NULL Handling Functions (NVL, COALESCE)
- Conditional Functions (DECODE, CASE)
- Practical Usage of Functions in Queries
- Real-world Applications of SQL Functions