Introduction

Master the power of data with SQL, the world’s most widely-used relational database language. Whether you’re just starting out or looking to upgrade your skills, this comprehensive SQL syllabus will provide you with a solid foundation in Structured Query Language. From creating and altering databases to manipulating data, this syllabus covers everything from basic to advanced SQL concepts. You’ll learn about subqueries, joins, transactions, and database security, as well as how to use SQL for business intelligence and data analysis. Get ready to unlock the full potential of your data and take your skills to the next level with this SEO optimized SQL syllabus.

SQL Syllabus

SQL (Structured Query Language) Syllabus:

1. Introduction to SQL
   • What is SQL and its history
   • Basic syntax and keywords
   • Database concepts
   • Types of SQL statements
2. Data Definition Language (DDL)
   • Creating, altering and deleting databases and tables
   • Setting primary keys, foreign keys and unique constraints
   • Understanding data types and their usage
3. Data Manipulation Language (DML)
   • Inserting, updating and deleting data in tables
   • Selecting data using the SELECT statement
   • Using WHERE clause to filter data
   • Sorting data using ORDER BY
   • Limiting data using LIMIT
   • Using aggregate functions like SUM, AVG, COUNT, MIN, MAX
4. Data Control Language (DCL)
   • Understanding database security and user management
   • Granting and revoking privileges
   • Transactions and data consistency
5. Subqueries and Joins
   • Understanding subqueries
   • Using INNER, OUTER and CROSS joins
   • Using self-joins and nested subqueries
6. Advanced SQL
   • Using Common Table Expressions (CTE)
   • Understanding window functions
   • Using views and stored procedures
   • Working with indexing and performance optimization
   • Using pivot and unpivot tables
7. Database management
   • Understanding database backup and recovery
   • Maintaining database integrity
   • Monitoring database performance
   • Importing and exporting data
8. SQL in real-world scenarios
   • Using SQL for business intelligence and data analysis
   • Working with big data and NoSQL databases
   • SQL in cloud computing

Note: The syllabus may vary depending on the specific requirements of the course or program. This syllabus is a general guide and should be used as a reference.

Where to learn SQL?

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