Course Summary

This course is designed to equip students with the foundational knowledge and practical skills required to analyze, manage, and optimize database systems. A Database Analyst plays a critical role in ensuring data integrity, designing efficient databases, and facilitating data-driven decision-making processes within organizations. Through this course, learners will gain hands-on experience with database management systems, data modeling, SQL, and data security.

By the end of the course, students will be prepared to analyze database needs, develop logical data models, write complex queries, and ensure the efficient performance of database systems.

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Introduction to Databases
- Overview of database concepts
- Types of databases (relational, NoSQL, etc.)
- Database system architecture
Data Modeling and Design
- Entity-relationship diagrams (ERD)
- Normalization techniques
- Logical and physical database design
SQL (Structured Query Language)
- Writing and optimizing SQL queries
- Joins, subqueries, and stored procedures
- Advanced SQL functions and triggers
Database Performance Tuning
- Indexing and query optimization
- Understanding execution plans
- Managing database storage and efficiency
Database Security and Integrity
- Data backup, recovery, and auditing
- Implementing security policies and access control
- Ensuring data integrity and consistency
Database Tools and Technologies
- Using database management software (MySQL, PostgreSQL, etc.)
- Cloud databases and Big Data solutions
- Introduction to Data Warehousing

Quizzes and Exams: To assess theoretical understanding and concepts.
Practical Assignments: Focused on database design, SQL querying, and optimization tasks.
Project Work: Real-world database analysis project where students create, optimize, and document a database solution for a business problem.
Case Studies: Evaluation of real-life database issues and how to address them effectively.

Upon successful completion of this course, students will be able to:

Understand core database concepts and identify the most suitable database models for various use cases.
Design logical and physical data models using industry-standard techniques such as ERD and normalization.
Write complex SQL queries to retrieve, manipulate, and analyze data effectively.
Optimize database performance through indexing, tuning, and query optimization strategies.
Implement robust database security measures and ensure data integrity and compliance with organizational policies.
Utilize database management tools to manage, backup, and restore database systems efficiently.

This course prepares students for a successful career as Database Analysts in data-driven industries.

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: 4 sessions (12 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: 4 sessions (12 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

Fill Application Form

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Database Analyst

Course Summary

Regular & Intensive Learning Option

Slow-Paced & Relaxed Learning Option

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