MS-SQL

Module 1: Introduction to SQL

• What is SQL?
• Definition and purpose of SQL
• SQL dialects (SQL Server, MySQL, Oracle, PostgreSQL, etc.)

• Database Concepts:
• Relational databases
• Tables, rows, and columns
• Primary keys, foreign keys, and relationships

• Basic SQL Syntax:
• SELECT, FROM, WHERE clauses
• Data types (numeric, character, date/time)

Module 2: Data Manipulation Language (DML)

• Inserting Data:
• INSERT INTO statement
• Default values

• Updating Data:
• UPDATE statement
• WHERE clause for conditional updates

• Deleting Data:
• DELETE statement
• WHERE clause for selective deletion

Module 3: Data Definition Language (DDL))

• Creating Tables:
• CREATE TABLE statement
• Defining columns and data types
• Constraints (PRIMARY KEY, FOREIGN KEY, NOT NULL, UNIQUE)

• Altering Tables:
• ALTER TABLE statement
• Adding, modifying, or dropping columns

• Dropping Tables:
• DROP TABLE statement

Module 4: Data Query Language (DQL)

• SELECT Statement:
• Selecting specific columns
• Using aliases
• Filtering data with WHERE clause
• Sorting data with ORDER BY clause
• Grouping data with GROUP BY clause
• Aggregating data with aggregate functions (COUNT, SUM, AVG, MIN, MAX)

• Joins:
• INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN
• Combining data from multiple tables

Module 5: Advanced SQL Concepts

• Subqueries:
• Nested SELECT statements
• Correlated subqueries

• Common Table Expressions (CTEs):
• Temporary result sets for complex queries

• Window Functions:
• RANK, DENSE_RANK, ROW_NUMBER, LEAD, LAG

• Stored Procedures and Functions:
• Creating and using stored procedures and functions
• Modularizing SQL code

Module 6: Database Administration

• Database Design:
• Normalization (1NF, 2NF, 3NF, BCNF)
• Indexing

• Performance Tuning:
• Query optimization
• Indexing strategies

• Security and Permissions:
• User accounts and roles
• Granting and revoking privileges

Module 7: SQL Projects and Case Studies

• Real-world examples:
• Analyzing sales data
• Customer segmentation

• Project Execution:
• SQL Queries, Modeling, Data

• Presentation and Communication:
• Effective storytelling with data

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