Database Administrator
Study Program Courses

The Database Administrator (DBA) course is designed to equip learners with the essential knowledge and skills to effectively manage, maintain, and troubleshoot databases. This course covers a wide range of database management systems (DBMS), with a focus on core areas such as database design, optimization, security, and recovery. By the end of the course, participants will be proficient in handling the responsibilities of a DBA, ensuring data integrity, performance, and security.

Learning Details and Options

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Key Areas:

  1. Database Fundamentals:

    • Understanding relational and non-relational databases.
    • Overview of DBMS architecture and components.

  2. Database Design and Implementation:

    • Normalization and schema design.
    • ER diagrams and logical data modeling.
    • Indexing, views, and stored procedures.

  3. SQL Mastery:

    • Advanced SQL querying.
    • Data manipulation and retrieval.
    • Database triggers, functions, and optimization techniques.

  4. Database Security:

    • Implementing access controls and user permissions.
    • Encryption methods for data protection.
    • Auditing and monitoring for security breaches.

  5. Performance Tuning and Optimization:

    • Indexing strategies and query optimization.
    • Troubleshooting bottlenecks and improving DB performance.
    • Load balancing and partitioning.

  6. Backup, Recovery, and Replication:

    • Developing backup and disaster recovery strategies.
    • Database replication techniques.
    • Failover clustering and high-availability planning.

  7. Database Management and Maintenance:

    • Monitoring and managing databases.
    • Automating maintenance tasks and patch management.
    • Database migration and upgrades.

Assessment & Project Types:

  • Practical Assignments: Students will complete tasks such as database setup, schema creation, and performance tuning.
  • Quizzes: Periodic quizzes to test knowledge of database concepts and SQL.
  • Capstone Project: A comprehensive project where learners design and implement a full-scale database solution, including backup and security measures.
  • Exams: A final exam covering theoretical and practical aspects of database administration.
  • Peer Review: Students will participate in reviewing and providing feedback on peers’ database solutions.

Learning Outcomes:

By the end of the course, participants will be able to:

  1. Analyze and Interpret Data:

    • Perform in-depth exploratory analysis to understand patterns, trends, and outliers in datasets.

  2. Apply Machine Learning Models:

    • Build, train, and evaluate machine learning models to solve classification, regression, and clustering problems.

  3. Data Wrangling and Cleaning:

    • Efficiently clean, preprocess, and transform raw data for analysis.

  4. Use Data Science Tools and Libraries:

    • Employ popular data science tools like Python, SQL, and visualization libraries for analysis and reporting.

  5. Make Data-Driven Decisions:

    • Leverage insights from data to make informed business decisions and communicate findings effectively to stakeholders.

  6. Work with Big Data and Cloud Solutions:

    • Gain hands-on experience working with cloud platforms and manage large datasets.

  7. Understand Ethical Implications:

    • Evaluate the ethical and legal considerations of working with sensitive data, ensuring adherence to data privacy laws and governance frameworks.

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: 1 sessions (3 months)
  • Session Length: 1 session = 3 months

  • DWTA Qualification: Academic Certificate
  • CTVET’s National TVET Qualification Framework (NTVETQF): National Certificate I
  • 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: 1 sessions (3 months)
  • Session Length: 1 session = 3 months

  • DWTA Qualification: Academic Certificate
  • CTVET’s National TVET Qualification Framework (NTVETQF): National Certificate I
  • Tuition & Guidance Fees:
    • Ghc 2600 per session or
    • Ghc 900 per month
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