PROFICIENCY DIPLOMA IN DATABASE MANAGEMENT
Total Duration: 4-6 months
Course Fee: 30,000 Kenyan Shillings
weekly commitment: Minimum of 2 hours per day
Course Overview
The Proficiency Diploma in Database Management focuses on the design, implementation, and administration of databases. Students will learn about database systems, SQL querying, data modeling, and database security. This program prepares students for roles as database administrators, data analysts, and database developers in various industries.
Semester 1
Week 1: Introduction to Database Management Systems
- Overview of database concepts and terminology
- Role of database management systems (DBMS) in organizations
- Types of databases: relational, NoSQL, object-oriented
Week 2: Relational Database Design
- Basics of relational database design
- Entity-relationship modeling (ER modeling)
- Normalization: First, Second, and Third Normal Forms (1NF, 2NF, 3NF)
Week 3: Structured Query Language (SQL) Basics
- Introduction to SQL and its variants (MySQL, PostgreSQL)
- Writing basic SQL queries: SELECT, INSERT, UPDATE, DELETE
Week 4: Advanced SQL Queries
- Complex SQL queries: joins, subqueries, aggregates
- Data manipulation language (DML) and data definition language (DDL) in SQL
Week 5: Database Administration
- Basics of database administration tasks
- Managing users, roles, and permissions in databases
Week 6: Data Modeling and Design
- Conceptual, logical, and physical data modeling
- Tools and techniques for data modeling
Week 7: Database Security
- Importance of database security
- Securing database systems: authentication, authorization, encryption
Week 8: Backup and Recovery
- Database backup strategies and procedures
- Disaster recovery planning for databases
Week 9: Introduction to NoSQL Databases
- Overview of NoSQL databases (MongoDB, Cassandra)
- Characteristics and use cases of NoSQL databases
Week 10: Data Warehousing and Business Intelligence
- Basics of data warehousing
- Extract, Transform, Load (ETL) processes
- Introduction to business intelligence (BI) tools and applications
Week 11: Mid-Semester Review and Assessment
- Review of topics covered in the first semester
- Mid-semester exams and practical assessments
Week 12: Project Development
- Planning and developing a database project
- Implementation of database design and modeling
- Project presentation and evaluation
Semester 2
Week 13: Advanced Database Topics
- Advanced database performance tuning
- Database scaling and replication
Week 14: Big Data and Data Analytics
- Introduction to big data concepts
- Basics of data analytics and visualization
Week 15: Cloud Databases
- Managing databases in cloud environments (AWS, Azure)
- Database as a Service (DBaaS) offerings
Week 16: Database Integration and Migration
- Integrating databases with other applications
- Strategies for database migration
Week 17: Emerging Trends in Database Management
- Blockchain and distributed ledger databases
- AI and machine learning in database management
Week 18: Database Governance and Compliance
- Data governance frameworks and practices
- Compliance requirements (GDPR, HIPAA) in database management
Week 19: Database Project Management
- Managing database projects: scope, budget, timeline
- Agile and waterfall methodologies in database development
Week 20: Final Project and Presentation
- Developing a comprehensive database project
- Presentation of the final project and portfolio review
Certification
Upon successful completion, students will receive a proficiency diploma in Database Management.