Course Objectives:

1. Understand the fundamentals of SQL and its role in database management systems.
2. Learn the syntax and structure of SQL commands for data retrieval and manipulation.
3. Explore various SQL functions and operators for data analysis and transformation.
4. Develop skills in writing efficient and effective SQL queries.
5. Understand the process of creating and modifying database tables using SQL.
6. Learn how to perform data manipulation operations, such as inserting, updating, and deleting data.
7. Apply advanced SQL techniques for data analysis, reporting, and optimization.

Course Outline:

Module 1: Introduction to SQL

– Overview of SQL and its role in database management systems
– Understanding relational databases and the SQL standard

Module 2: SQL Data Definition Language (DDL)

– Creating and modifying database tables using SQL
– Defining primary keys, foreign keys, and constraints

Module 3: SQL Data Manipulation Language (DML)

– Inserting, updating, and deleting data using SQL
– Retrieving data using SELECT statements

Module 4: SQL Querying and Filtering

– Writing SQL queries to retrieve specific data from tables
– Using WHERE and HAVING clauses for data filtering

Module 5: SQL Sorting and Joining

– Sorting data using ORDER BY clause
– Joining multiple tables using INNER JOIN, LEFT JOIN, and RIGHT JOIN

Module 6: SQL Functions and Aggregations

– Using SQL functions for data transformation and calculations
– Performing aggregations using GROUP BY and HAVING clauses

Module 7: SQL Subqueries and Views

– Writing subqueries to retrieve data from nested queries
– Creating and using views for data abstraction and simplification

Module 8: SQL Data Manipulation Operations

– Performing advanced data manipulation operations using SQL
– Using UPDATE, DELETE, and INSERT INTO statements

Module 9: SQL Advanced Techniques

– Implementing advanced SQL techniques for data analysis and reporting
– Using SQL for data optimization and performance tuning

Module 10: Case Studies and Real-World Applications in SQL

– Real-world case studies of SQL implementation in various industries
– Hands-on projects and simulations using SQL databases