About Course

Master SQL (Structured Query Language) and gain practical expertise in database management, SQL programming, data querying, database design, data analysis, business intelligence, and relational database systems using industry-standard platforms such as MySQL, Microsoft SQL Server, PostgreSQL, Oracle Database, and SQLite. This comprehensive programme equips learners with the skills to retrieve, manage, analyze, and secure business data while supporting applications in Data Analysis, Data Science, Software Development, Business Intelligence, Cloud Computing, and Artificial Intelligence. Through practical database projects and real-world business scenarios, learners will develop the technical skills required to design databases, optimize SQL queries, automate reporting, and support enterprise data-driven decision-making.

Understand relational databases and SQL syntax
Write SELECT queries, filter, and sort data
Insert, update, and delete data; manage transactions
Use joins, subqueries, CTEs, and window functions
Design databases with ERDs, normalization, and keys
Build views, stored procedures, functions, and triggers
Optimize queries, indexing, and database security
Apply SQL for Power BI, data science, and reporting
Design and optimize a relational database capstone project

Course Content

Module 1: Introduction to SQL & Relational Databases
• Database Fundamentals • Relational Database Concepts • SQL Syntax • Database Management Systems (DBMS)

Module 2: SQL Queries
• SELECT Statements • Filtering Data • Sorting Results • Aliases

Module 3: Data Manipulation Language (DML)
• INSERT • UPDATE • DELETE • Transactions

Module 4: Advanced SQL
• JOIN Operations • Subqueries • Common Table Expressions (CTEs) • Window Functions

Module 5: Database Design
• Entity Relationship Diagrams (ERD) • Normalization • Keys & Constraints • Database Relationships

Module 6: Stored Procedures & Database Programming
• Views • Stored Procedures • Functions • Triggers

Module 7: SQL Performance & Security
• Query Optimization • Indexing • Database Security • Backup & Recovery

Module 8: SQL for Data Analytics & Business Intelligence
• SQL for Power BI • SQL for Data Science • Reporting • Data Warehousing

Module 9: Capstone Project
Design, develop, and optimize a relational database solution that supports business operations through advanced SQL queries, automated reporting, database security, and performance optimization.

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Master SQL (Structured Query Language): From Beginner to Professional

About Course

What Will You Learn?

Course Content

Module 1: Introduction to SQL & Relational Databases
• Database Fundamentals • Relational Database Concepts • SQL Syntax • Database Management Systems (DBMS)

Module 2: SQL Queries
• SELECT Statements • Filtering Data • Sorting Results • Aliases

Module 3: Data Manipulation Language (DML)
• INSERT • UPDATE • DELETE • Transactions

Module 4: Advanced SQL
• JOIN Operations • Subqueries • Common Table Expressions (CTEs) • Window Functions

Module 5: Database Design
• Entity Relationship Diagrams (ERD) • Normalization • Keys & Constraints • Database Relationships

Module 6: Stored Procedures & Database Programming
• Views • Stored Procedures • Functions • Triggers

Module 7: SQL Performance & Security
• Query Optimization • Indexing • Database Security • Backup & Recovery

Module 8: SQL for Data Analytics & Business Intelligence
• SQL for Power BI • SQL for Data Science • Reporting • Data Warehousing

Module 9: Capstone Project
Design, develop, and optimize a relational database solution that supports business operations through advanced SQL queries, automated reporting, database security, and performance optimization.

About Course

What Will You Learn?

Course Content

Module 1: Introduction to SQL & Relational Databases • Database Fundamentals • Relational Database Concepts • SQL Syntax • Database Management Systems (DBMS)

Module 2: SQL Queries • SELECT Statements • Filtering Data • Sorting Results • Aliases

Module 3: Data Manipulation Language (DML) • INSERT • UPDATE • DELETE • Transactions

Module 4: Advanced SQL • JOIN Operations • Subqueries • Common Table Expressions (CTEs) • Window Functions

Module 5: Database Design • Entity Relationship Diagrams (ERD) • Normalization • Keys & Constraints • Database Relationships

Module 6: Stored Procedures & Database Programming • Views • Stored Procedures • Functions • Triggers

Module 7: SQL Performance & Security • Query Optimization • Indexing • Database Security • Backup & Recovery

Module 8: SQL for Data Analytics & Business Intelligence • SQL for Power BI • SQL for Data Science • Reporting • Data Warehousing

Module 9: Capstone Project Design, develop, and optimize a relational database solution that supports business operations through advanced SQL queries, automated reporting, database security, and performance optimization.

Student Ratings & Reviews

Module 1: Introduction to SQL & Relational Databases
• Database Fundamentals • Relational Database Concepts • SQL Syntax • Database Management Systems (DBMS)

Module 2: SQL Queries
• SELECT Statements • Filtering Data • Sorting Results • Aliases

Module 3: Data Manipulation Language (DML)
• INSERT • UPDATE • DELETE • Transactions

Module 4: Advanced SQL
• JOIN Operations • Subqueries • Common Table Expressions (CTEs) • Window Functions

Module 5: Database Design
• Entity Relationship Diagrams (ERD) • Normalization • Keys & Constraints • Database Relationships

Module 6: Stored Procedures & Database Programming
• Views • Stored Procedures • Functions • Triggers

Module 7: SQL Performance & Security
• Query Optimization • Indexing • Database Security • Backup & Recovery

Module 8: SQL for Data Analytics & Business Intelligence
• SQL for Power BI • SQL for Data Science • Reporting • Data Warehousing

Module 9: Capstone Project
Design, develop, and optimize a relational database solution that supports business operations through advanced SQL queries, automated reporting, database security, and performance optimization.