top of page


    1. Big Data Terminology

    2. Big Data Concepts

    3. Technical Considerations

    4. Big Data Governance - sources, data quality, integration, security, life cycle, master data management and definitions

  • Description coming soon.

    1. Business Intelligence Concepts & Roles

    2. Business Management Perspectives

    3. Analytics Techniques and Usage

    4. Business Intelligence / Decision Support Systems

    1. Data and Information Quality Concepts, Process and Roles

    2. Data and Information Quality Audit Process

    3. Data and Information Quality Remediation

    4. Ongoing Data and Information Quality Activities

    1. Data, Information and Knowledge  

    2. Describing, Understanding and Managing Data

    3. Data Roles

    4. Data Models and Relationships

    5. Data Value and Quality

    6. Data Access, Storage, Protection and Security

    7. Data Atrophy, Renewal and Removal, Distribution

    8. Data Uses

    9. Data Storage Technologies and Purposes

    10. Evolving Business and Data Analytics Tools

    11. Corporate Mergers and Data Integration

    12. Data Strategy and Planning

    13. Document and Record Management

    1. Data Governance Concepts, Business Drivers and Roles

    2. Data Governance and Stewardship Roles

    3. Data Governance Inputs and Deliverables

    4. Data Governance Function

    5. Fundamental Knowledge Areas for Data Stewardship Activities

    1. Data Management Process

    2. Data Governance Function

    3. Data Architecture Management Function

    4. Data Development Function

    5. Data Operations Management Function

    6. Data Security Management Function

    7. Reference and Master Data Management Function

    8. Data Warehousing and Business Intelligence Management Function

    9. Document and Content Management Function

    10. Metadata Management Function

    11. Data Quality Management Function

    12. Big Data

    13. Data Integration

    14. Data Ethics

    1. Data Development Concepts and Technology Types

    2. Data Analysis and Design

    3. Related Data Designs

    4. Data Model and Design Quality Management

    5. Data Implementation

    1. Business & Technology Issues: Starting with the Question First  What Problem are you Trying to Solve?

    2. Data Storage, Big Data and Sources

    3. Mathematics and Statistical Data Science

    4. Programming Skills

    5. The Data Analytic Question and Types of Data and Reporting

    6. Tidying the Data – Data Cleaning and Quality

    7. Exploratory Analysis

    8. Statistical Modeling and Inference

    9. Prediction and Machine Learning

    10. Causality

    11. Written Analysis

    12. Reproducibility

    1. Data Warehousing Management

    2. Data Warehousing Infrastructure Architectures

    3. Tools and Technology Types

    4. Data Warehousing Analysis

    5. Warehousing Data Modeling and Database Design

    6. Data Integration

    7. Other Warehousing Development Activities

    8. Implementation and Ongoing Activities

    1. Information Systems

    2. Data and Information Management

    3. Enterprise Architecture 

    4. IT Infrastructure 

    5. IS Project Management

    6. Systems Analysis & Design

    1. Management and Information Systems Decision Concepts

    2. Strategies and Business Process Management (BPM)

    3. Architecture and Infrastructure

    4. IS / IT Sourcing and Funding

    5. IS / IT Organization, Governance and Ethics

    6. Project Management

    7. Managing Data, Information, and Knowledge, and Using Business Analytics

Experience top-notch data education with DAMA Edmonton's Instructor-led online courses! Choose between our dynamic Self Study or engaging Instructor-Led options. The Self Study courses offer flexible start and finish times, making them perfect for experienced Data Professionals. For a more interactive experience, opt for the Instructor-Led courses, which feature group study-paced learning with dedicated start dates (January 19, June 17, and September 20). During the 12-week program, expect live discussions, Q&A sessions, and approximately 4-6 hours of study time per week.


Click on the topics below to explore the content covered by each course.

bottom of page