Database Management Essentials course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
Overview: This course offers a structured introduction to relational database management and SQL, designed for beginners. Over approximately 8–12 weeks with 4–6 hours of study per week, learners will progress from foundational concepts to practical application. The curriculum covers database architecture, data modeling, SQL querying, normalization, and basic security. Hands-on exercises reinforce each concept, culminating in a final project that demonstrates real-world database design and querying skills. Lifetime access allows flexible learning at your own pace.
Module 1: Introduction to Database Systems
Estimated time: 10 hours
- Role of databases in organizations
- Relational vs. non-relational systems
- Fundamentals of DBMS architecture
- Data storage and retrieval concepts
Module 2: Relational Modeling and Design
Estimated time: 10 hours
- Creating entity-relationship (ER) diagrams
- Understanding primary and foreign keys
- Applying normalization principles
- Designing structured relational schemas
Module 3: SQL Querying and Data Manipulation
Estimated time: 12 hours
- Writing SELECT queries with filtering and sorting
- Using joins to combine multiple tables
- Applying aggregate functions and grouping
- Performing INSERT, UPDATE, and DELETE operations
Module 4: Database Integrity and Security Basics
Estimated time: 8 hours
- Understanding constraints and data validation
- Learning transaction fundamentals
- Exploring basic database security practices
- Applying performance optimization concepts
Module 5: Final Project
Estimated time: 10 hours
- Design a complete relational database using ER diagrams
- Implement normalization techniques in schema design
- Create and query a database using SQL commands
Prerequisites
- Basic computer literacy
- Familiarity with navigating software interfaces
- No prior programming or database experience required
What You'll Be Able to Do After
- Design relational databases using ER modeling
- Write and execute SQL queries for data retrieval and manipulation
- Apply normalization to improve database structure
- Implement basic data integrity and security practices
- Build functional databases suitable for data analysis or backend development roles