Program Structure: – Duration: 6 months – Class Days: Fridays and Saturdays – Class Hours: 3 hours per day (6 hours per week) – Total Contact Hours: 144 hours – Credit Units: 18 (assuming 1 credit unit = 8 contact hours)
Course Description:
The Diploma in Data Management provides an in-depth, comprehensive exploration of the principles, tools, and practices essential for managing and analyzing large volumes of data. Over a rigorous 6-month period, students will delve into key areas such as advanced SQL, database management systems (DBMS), data warehousing, business intelligence (BI), and data governance. The curriculum integrates theoretical knowledge with practical skills, offering hands-on experience in building, managing, and optimizing databases, along with ensuring data integrity and compliance. Students will also explore the latest technologies in data management, such as cloud-based solutions, as well as advanced topics in data security, data integration, and analytics. By the end of the course, graduates will be fully equipped to manage enterprise-level data systems and drive informed decision-making in various organizational contexts.
What You Will Learn:
By the end of this course, participants will be able to:
Master Database Management Systems (DBMS):
- Understand the architecture, components, and types of DBMS (e.g., relational, NoSQL).
- Design, implement, and optimize database structures to meet organizational needs.
- Implement database normalization, indexing, and query optimization for performance improvements.
Develop Advanced SQL Skills:
- Write complex SQL queries for data retrieval, aggregation, and manipulation.
- Perform advanced operations such as subqueries, joins, and window functions for efficient data analysis.
- Use SQL to manage large datasets, handle transactions, and ensure data integrity.
Implement Data Warehousing Solutions:
- Understand the principles of data warehousing and its role in decision support systems.
- Design and develop data warehouses to consolidate data from multiple sources for analysis.
- Work with ETL (Extract, Transform, Load) processes to ensure accurate and timely data integration.
Leverage Business Intelligence (BI) Tools:
- Gain proficiency in BI platforms such as Power BI, Tableau, or Looker to generate meaningful insights.
- Create dynamic dashboards and reports to communicate data trends and performance metrics.
- Utilize BI tools to support data-driven decision-making within organizations.
Ensure Data Governance and Compliance:
- Implement data governance frameworks to maintain data accuracy, consistency, and security.
- Understand global data privacy regulations (e.g., GDPR, HIPAA) and their impact on data management.
- Develop strategies to ensure data compliance and mitigate risks of data breaches.
Master Cloud-Based Data Solutions:
- Explore cloud-based data management platforms (e.g., AWS, Azure, Google Cloud).
- Implement scalable, secure cloud data storage solutions.
- Leverage cloud technologies for cost-effective data management and disaster recovery.
Optimize Data Security and Privacy:
- Understand key security principles and techniques for protecting sensitive data.
- Implement data encryption, access controls, and auditing processes to safeguard data.
- Assess and mitigate data privacy risks, ensuring compliance with legal and ethical standards.
Work with Real-World Data Management Projects:
- Apply data management skills to real-world projects, such as building and managing a comprehensive database or implementing a BI solution.
- Develop hands-on experience in using data management tools to solve organizational challenges.
- Complete a capstone project demonstrating mastery of data management techniques and tools.
