Computer Science for Databases using SQL course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
This Professional Certificate program provides a comprehensive introduction to relational databases and SQL programming, designed for beginners aiming to build job-ready skills in database design and querying. The course spans approximately 16–24 weeks of part-time study, with hands-on projects and real-world applications that prepare learners for careers in data analytics, backend development, and database administration. Each module builds practical expertise in SQL, culminating in a capstone project that demonstrates mastery of database systems.
Module 1: Database Foundations
Estimated time: 12 hours
- Understand relational database concepts
- Learn entity-relationship (ER) modeling
- Study normalization principles
- Design structured database schemas
Module 2: SQL Querying and Data Manipulation
Estimated time: 12 hours
- Write SELECT queries with filtering and sorting
- Use joins to combine multiple tables
- Apply aggregate functions and groupings
- Manipulate data using INSERT, UPDATE, and DELETE
Module 3: Advanced SQL and Optimization
Estimated time: 12 hours
- Explore subqueries and nested queries
- Understand indexing and query performance tuning
- Learn transaction management basics
- Study database security fundamentals
Module 4: Query Performance and Indexing
Estimated time: 10 hours
- Analyze execution plans
- Create and manage database indexes
- Optimize queries for large datasets
Module 5: Database Design and Normalization
Estimated time: 10 hours
- Apply normalization up to third normal form
- Design schema for data integrity
- Translate ER models into relational schemas
Module 6: Final Project
Estimated time: 14 hours
- Design and implement a complete relational database
- Write complex queries to extract insights
- Optimize performance for large datasets
Prerequisites
- Basic computer literacy
- Familiarity with spreadsheets or data tables
- No prior programming experience required
What You'll Be Able to Do After
- Design efficient relational database schemas
- Write complex SQL queries for data retrieval and analysis
- Optimize query performance using indexing and best practices
- Manage and manipulate data using SQL commands
- Demonstrate practical SQL proficiency for technical roles