Database Developer
Study Program Courses
This Database Developer course is designed to equip learners with the essential skills needed to design, build, and maintain robust databases. Through a combination of hands-on projects and assessments, students will develop a strong foundation in database concepts, SQL programming, and the use of modern database management systems (DBMS). The course focuses on practical, real-world applications to prepare participants for roles such as database developers, data analysts, and backend engineers.
Learning Details and Options
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Key Areas
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Database Fundamentals
- Introduction to databases, types, and structures
- Understanding relational databases (RDBMS)
- Primary keys, foreign keys, normalization
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SQL Programming
- SQL queries: SELECT, INSERT, UPDATE, DELETE
- Complex queries: Joins, Subqueries, and Views
- Stored procedures, functions, and triggers
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Database Design & Modeling
- Entity-Relationship (ER) modeling
- Data integrity and constraints
- Indexing and performance optimization
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Database Administration
- Backup, recovery, and security management
- User roles, permissions, and access control
- Monitoring and troubleshooting databases
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Advanced Concepts
- NoSQL databases (MongoDB, Cassandra)
- Working with cloud databases (AWS RDS, Azure SQL)
- Data warehousing and Big Data integration
Assessment & Project Types
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Quizzes & Assignments
- Periodic quizzes to test knowledge of key concepts and SQL skills
- Practical assignments involving query writing, database design, and optimization
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Case Studies
- Real-world scenarios where students design and implement a database solution for a given business problem
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Capstone Project
- A comprehensive final project where students develop a fully functional database, incorporating complex queries, stored procedures, and optimization techniques
- Peer review and instructor feedback on project submissions
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Exams
- Mid-course and final exams to assess conceptual and practical knowledge
Learning Outcomes
By the end of this course, students will be able to:
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Design and Implement Databases
- Create relational databases using normalized designs
- Build entity-relationship models to reflect real-world scenarios
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Write Efficient SQL Queries
- Develop complex SQL queries for data retrieval, manipulation, and reporting
- Use joins, subqueries, and indexing to optimize database performance
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Administer and Secure Databases
- Manage database users, roles, permissions, and ensure data security
- Implement backup and recovery solutions to prevent data loss
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Work with Modern Database Technologies
- Understand and utilize NoSQL and cloud database solutions
- Integrate databases with larger data ecosystems, including data warehouses and big data platforms
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Problem-Solving in Real-World Contexts
- Solve business problems by designing and implementing custom database solutions
- Analyze and optimize existing databases for better performance and scalability
Regular & Intensive Learning Option
- Class Schedule:
Morning Students – Monday to Thursday, 09:00 am – 03:00 pm
Afternoon Students – Monday to Thursday, 03:30 pm – 08:00 pm - Teaching Method: Online & Offline / Online only (eg. Google meet video call)
- Course Duration: 5 sessions (15 months)
- Session Length: 1 session = 3 months
- DWTA Qualification: Academic Diploma
- CTVET’s National TVET Qualification Framework (NTVETQF): Higher National Diploma
- Tuition & Guidance Fees:
- Ghc 2600 per session or
- Ghc 900 per month
Slow-Paced & Relaxed Learning Option
- Class Schedule:
Weekend Evening Students – Friday to Sunday, 06:00 pm – 08:00 pm - Teaching Method: Online & Offline / Online only (eg. Google meet video call)
- Course Duration: 6 sessions (18 months)
- Session Length: 1 session = 3 months
- DWTA Qualification: Academic Diploma
- CTVET’s National TVET Qualification Framework (NTVETQF): Higher National Diploma
- Tuition & Guidance Fees:
- Ghc 2600 per session or
- Ghc 900 per month
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