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Data Management Fundamentals


Development Academy of the Philippines
Enrollment is Closed

Course Overview

Analysis, models, and business intelligence reports are only as reliable as the data on which they are based. This course will impart knowledge on various technicalities embedded in data management. This course will equip participants with the necessary skills to store, process, organize, update, and disseminate accurate data that supports sound decision-making.

Note to SPARTA scholars: Upon enrollment, you will have 6 months to finish a SPARTA course. Failure to complete the course in 6 months and/or inactivity for 3 months will result in course access revocation.

What You Will Learn

Upon completion of this course, the learners are expected to:

  • understand different classification and types of data/information, which will strengthen the knowledge and skills in managing the complexity of data;
  • be introduced in architectural options for data warehousing and distribution, including repository and registry; and
  • be able to identify management issues and techniques using proper data processing regardless of data complexity.

Course Instructor

Course Staff Image #1

Dominic Vincent Ligot

Subject Matter Expert

Course Content

Week 1: Data Management Principles

11 Videos | 5 Activities

11 Videos

  • Welcome to the course!
  • Data Management Defined
  • AAP Framework and Career Paths
  • Objectives of Data Management
  • Definitions (Data, Metadata, and Data Representation)
  • Data vs. Information
  • Data as an Asset
  • Data Management Principles
  • Data Management Challenges (Part 1)
  • Data Management Challenges (Part 2)
  • Data Management Strategy Defined

5 Activities

  • Recall Activities (4)
  • Quiz

Week 2: Data Management Frameworks

6 Videos | 3 Activities

6 Videos

  • An Introduction
  • The Strategic Alignment Model
  • The Amsterdam Information Model
  • The DAMA Framework
  • Data Management Pyramid
  • Data Management Functional Framework

3 Activities

  • Recall Activities (2)
  • Quiz

Week 3: Data Handling Ethics

9 Videos | 3 Readings | 3 Activities

9 Videos

  • What is ethics?
  • Business Drivers
  • Data Ethical Principles
  • Online Data Ethical Principles
  • Timing, Misleading Visualizations, and Bias
  • Obfuscation / Redaction of Data
  • Review of Current Practices, Identify Principles, Practices, and Risk Factors
  • Create a Data Ethics Strategy and Road Map
  • Socially Responsible Ethical Risk Model

3 Readings

  • Data Ethics and Governance
  • Data Privacy Act
  • Anti-Cyber Crime Law

3 Activities

  • Recall Activities (2)
  • Quiz

Week 4: Data Governance

4 Videos | 3 Activities

4 Videos

  • Different Principles in Data Governance
  • Different Tools and Techniques in Data Governance
  • Implementing Processes and Policies
  • Different Metrics for Data Governance

3 Activities

  • Recall Activities (2)
  • Quiz

Week 5: Data Architecture

12 Videos | 5 Activities

12 Videos

  • Architecture and Data Defined
  • Business Drivers
  • Data Architecture Outcomes and Practices
  • Data Flow Design
  • Different Data Architecture Tools
  • Lifecycle Projections
  • Diagramming Clarity
  • Readiness Assessment/ Risk Assessment
  • Organization and Cultural Change
  • Enterprise Data Architecture and Data Governance
  • Metrics
  • Key Takeaways

5 Activities

  • Recall Activities (3)
  • Quiz
  • Final Exam
  1. Course Number

    SP301
  2. Classes Start

  3. Classes End

  4. Estimated Effort

    1-2 hours/week (10 hours)
  5. Price

    ₱1000