Course Title: Data and Database Management

Course Introduction:

This course provides foundational knowledge and practical skills in database management. You will learn how to design, implement, and manage databases effectively, ensuring data integrity, scalability, and security. By mastering these essentials, you’ll be prepared to handle real-world data challenges across various industries.

Highlights of What You Will Learn:

• Key database concepts and terminologies.
• Designing and implementing relational databases.
• Querying data using SQL.
• Managing database performance and security.
• Fundamentals of database administration.

Target Audience:

• Beginners interested in data and database management.
• Professionals seeking foundational database knowledge.
• IT students aiming to strengthen their database skills.
• Business analysts and data professionals working with data-driven solutions.

Module 1: Introduction to Databases and SQL Basics

Description:

This module introduces the core concepts of databases and the basics of SQL, the standard language for interacting with databases. You’ll understand how databases are structured and learn essential SQL commands for data manipulation.

Learning Outcomes:

• Understand database fundamentals and types.
• Use SQL to query and manage data.
• Design simple relational database structures.
• Implement primary keys and relationships.

Topics Covered:

1. What is a Database? Overview and Applications
2. Types of Databases: Relational vs. Non-Relational
3. Introduction to SQL and its Importance
4. Data Types and Table Creation
5. Inserting, Updating, and Deleting Data
6. Querying Data: SELECT Statements
7. Filtering Results with WHERE Clauses
8. Sorting and Limiting Results
9. Basic Joins: Combining Data from Multiple Tables
10. Relational Database Design Principles

Module 2: Advanced SQL and Database Design

Description:

Building on the basics, this module delves into advanced SQL techniques and best practices in database design. You’ll explore normalization, indexing, and optimization to create efficient and scalable databases.

Learning Outcomes:

• Optimize database structures with normalization.
• Apply advanced SQL functions and subqueries.
• Implement indexing to improve query performance.
• Design robust and scalable relational databases.

Topics Covered:

1. Database Normalization: Concepts and Benefits
2. Advanced Joins: INNER, OUTER, and SELF Joins
3. Using Aggregate Functions: COUNT, SUM, AVG
4. Subqueries and Nested Queries
5. Data Constraints: UNIQUE, NOT NULL, and CHECK
6. Indexing: Types and Performance Impacts
7. Transactions and Concurrency Control
8. Views: Virtual Tables for Simplified Querying
9. Stored Procedures and Triggers
10. Designing a Scalable Database Architecture

Module 3: Database Management and Administration

Description:

This module focuses on the practical aspects of database management and administration. Learn how to maintain database security, perform backups, and ensure performance optimization for reliable data operations.

Learning Outcomes:

• Implement security measures to protect data.
• Manage database backups and recovery.
• Monitor and optimize database performance.
• Understand the role of database administrators (DBAs).

Topics Covered:

1. Database Security: Best Practices
2. User Roles and Permissions
3. Backup Strategies: Full, Incremental, and Differential
4. Restoring Databases After Failure
5. Monitoring Database Performance
6. Query Optimization Techniques
7. Database Scaling: Vertical and Horizontal Scaling
8. Introduction to Cloud Databases
9. Tools for Database Administration
10. The Future of Database Management: Trends and Innovations