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Completion In SQL(S-CS-6872)

  • Last updated Oct, 2026
  • Certified Course

Course Includes

  • Duration2 Months
  • Enrolled0
  • Lectures50
  • Videos0
  • Notes0
  • CertificateYes

What you'll learn

The SQL course provides comprehensive practical knowledge of Structured Query Language and relational database management. Students learn how to create databases, design tables, store and retrieve information, modify records and perform advanced data analysis using SQL queries.

The course covers SQL commands, data types, operators, functions, filtering, sorting, grouping, joins, subqueries, constraints, views, indexes, transactions and advanced SQL concepts.

Students also learn how SQL is used in real-world applications for managing student, employee, customer, sales, inventory, banking and business data. Practical projects help learners develop strong database and query-writing skills.

What You Will Learn

  • SQL and database fundamentals
  • Relational database concepts
  • Database and table creation
  • SQL data types
  • SELECT, INSERT, UPDATE and DELETE
  • WHERE and ORDER BY
  • SQL operators
  • SQL functions
  • GROUP BY and HAVING
  • Different types of joins
  • Subqueries
  • Database constraints
  • Views and indexes
  • Transactions
  • Stored procedures and functions
  • Advanced SQL queries
  • SQL security
  • SQL for data analysis
  • Database project development

Who Can Join?

  • Students and graduates
  • Computer and IT students
  • Engineering students
  • Web development learners
  • Software development learners
  • Data Analytics students
  • Database Administration learners
  • Working professionals
  • Aspiring SQL Developers
  • Anyone interested in database technology

Prerequisite

  • Basic computer knowledge
  • Basic understanding of databases is helpful but not mandatory
  • No prior SQL programming experience is required

Course Outcome

After completing this course, students will be able to:

  • Understand relational database concepts
  • Create and manage databases and tables
  • Write basic and advanced SQL queries
  • Insert, update and delete database records
  • Filter and sort large datasets
  • Use SQL functions for data processing
  • Perform complex queries using joins and subqueries
  • Apply constraints to maintain data integrity
  • Create Views and Indexes
  • Manage database transactions
  • Understand basic database security
  • Analyze business data using SQL
  • Develop practical database projects

Practical Projects

Students can work on projects such as:

  1. Student Management System
  2. Employee Management System
  3. Library Management System
  4. Inventory Management System
  5. Sales Management System
  6. Customer Management System
  7. Hospital Management Database
  8. Course Management Database
  9. Banking Database
  10. Payroll Management Database
  11. Product and Order Management Database
  12. Final SQL Database Project

Career & Learning Opportunities

After completing the course, students can explore entry-level opportunities such as:

  • SQL Developer Trainee
  • SQL Programmer Trainee
  • Database Developer Trainee
  • Database Administrator Trainee
  • Database Support Trainee
  • Junior SQL Developer
  • Database Testing Trainee
  • Data Analyst Trainee
  • Business Data Analyst Trainee
  • Backend Developer Trainee
  • Software Developer Trainee
  • Database Management Assistant
  • SQL Reporting Executive
  • Data Processing Executive

This course also provides a strong foundation for advanced learning in DBMS, Database Administration, Data Analytics, Business Intelligence, Backend Development and Data Science.

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Course Syllabus

Module 1: Introduction to SQL

  • What is SQL?
  • SQL and Database concepts
  • Relational databases
  • SQL applications
  • Types of SQL commands
  • Introduction to MySQL, SQL Server and PostgreSQL

Module 2: Database Fundamentals

  • Database and DBMS
  • Tables, rows and columns
  • Primary keys and foreign keys
  • Relationships between tables
  • Relational database structure
  • Database terminology

Module 3: SQL Environment and Database Creation

  • Installing and setting up a SQL environment
  • Connecting to a database
  • Creating databases
  • Selecting databases
  • Creating tables
  • Understanding database structure

Module 4: SQL Data Types

  • Numeric data types
  • Character and string data types
  • Date and time data types
  • Boolean concepts
  • NULL values
  • Choosing appropriate data types

Module 5: Basic SQL Commands

  • SELECT statement
  • INSERT statement
  • UPDATE statement
  • DELETE statement
  • Retrieving records
  • Modifying table data

Module 6: SQL Operators

  • Arithmetic operators
  • Comparison operators
  • Logical operators
  • AND, OR and NOT
  • IN and BETWEEN
  • LIKE and pattern matching
  • IS NULL and IS NOT NULL

Module 7: Filtering and Sorting Data

  • WHERE clause
  • ORDER BY
  • ASC and DESC
  • DISTINCT
  • LIMIT and TOP concepts
  • Filtering records using multiple conditions

Module 8: SQL Functions

  • Aggregate functions
  • COUNT()
  • SUM()
  • AVG()
  • MIN() and MAX()
  • String functions
  • Date and time functions
  • Numeric functions

Module 9: GROUP BY and HAVING

  • Grouping records
  • GROUP BY clause
  • Aggregate calculations
  • HAVING clause
  • WHERE vs HAVING
  • Group-based data analysis

Module 10: SQL Joins

  • Introduction to joins
  • INNER JOIN
  • LEFT JOIN
  • RIGHT JOIN
  • FULL JOIN concepts
  • SELF JOIN
  • Joining multiple tables

Module 11: Subqueries

  • Introduction to subqueries
  • Single-row subqueries
  • Multiple-row subqueries
  • Nested queries
  • Subqueries with SELECT
  • Subqueries with WHERE
  • Subqueries with UPDATE and DELETE

Module 12: Database Constraints

  • Primary Key
  • Foreign Key
  • UNIQUE constraint
  • NOT NULL
  • CHECK constraint
  • DEFAULT constraint
  • Maintaining data integrity

Module 13: SQL Table Management

  • ALTER TABLE
  • Adding columns
  • Modifying columns
  • Removing columns
  • TRUNCATE
  • DROP
  • Renaming database objects

Module 14: Views and Indexes

  • Introduction to Views
  • Creating and modifying Views
  • Advantages of Views
  • Introduction to Indexes
  • Creating indexes
  • Advantages and limitations of indexes
  • Improving query performance

Module 15: Advanced SQL

  • CASE statements
  • Conditional expressions
  • Common Table Expressions (CTEs)
  • Window functions
  • Ranking functions
  • Advanced filtering
  • Complex data analysis queries

Module 16: Transactions and SQL Programming

  • Introduction to transactions
  • COMMIT
  • ROLLBACK
  • SAVEPOINT
  • Transaction management
  • ACID concepts
  • Introduction to stored procedures and functions

Module 17: SQL Security and Database Management

  • Database users and permissions
  • GRANT and REVOKE
  • SQL security concepts
  • Preventing SQL injection
  • Data protection
  • Backup and recovery concepts

Module 18: SQL for Data Analysis

  • Extracting business data
  • Sales analysis
  • Customer analysis
  • Employee data analysis
  • Financial data analysis
  • Generating reports using SQL
  • Practical analytical queries

Module 19: Practical SQL Projects

  • Student Management Database
  • Employee Management Database
  • Library Management Database
  • Inventory Management Database
  • Sales and Billing Database
  • Customer Management Database
  • Course Management Database
  • Hospital Management Database

Module 20: Final SQL Project & Assessment

  • Database requirement analysis
  • Database design
  • Table creation
  • Relationships and constraints
  • Writing SQL queries
  • Joins and advanced queries
  • Reports and data analysis
  • Testing and debugging
  • Final project presentation
  • Practical assessment


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