Available courses

Data Products V1

This skills series provides a comprehensive understanding of data products, from foundational concepts to advanced applications. Participants will learn various definitions of data products, including analytics dashboards, modern data stacks, AI models, and data-as-a-service offerings. The series explores the lifecycle of building and managing analytics data products, covering topics such as identifying business problems, designing data pipelines, implementing data governance, and driving business adoption.

This course equips participants with the strategic skills to not only develop but also deploy and optimize these assets within their organizations. Learners will gain the confidence to champion data product adoption, navigate complex organizational structures, and measure the tangible return on investment. By integrating these practical implementation skills, professionals will be empowered to transform data from a theoretical concept into a powerful driver of business success, fostering a truly data-literate and agile enterprise.

  • Intro to Data Products- the Concepts
  • The Analytics Data Product Foundation
  • Data Governance in Analytics Data Products
  • Designing an Analytics Data Product
  • Driving Business Adoption of Analytics Data Products
  • Measuring ROI in Analytics Data Products
  • AI in Analytics Data Products
  • Evolving Your Analytics Data Product

By the end of this data risk essentials course, participants will gain a comprehensive understanding of how to collaborate effectively in data governance and strategy initiatives, drive organizational objectives, and foster a culture of data-driven decision-making.

Course Details:

  • Full Course: 60 Minutes
  • Lesson Modules: 4-5 Minutes Each
  • Lesson Quizzes: 8 Quizzes (4-5 questions per quiz)

Who this is for?

  • Data Citizens
  • Data Governance Leaders
  • Data Governance Analysts

Completion

  • Member will receive a Data Products Completion Certificate 
  • Member will receive Skills Series Summary
  • Member will receive 3 Points per individual Skills Series Module
  • Program Completion Requirements 80%

New sub-lessons will be uploaded to the skills series on an ongoing basis to ensure the material remains relevant, comprehensive, and aligned with the latest best practices in the course.

Data Collaboration V2

This skills series is designed to equip data citizens with the fundamentals of data collaboration across the enterprise. These learning modules will focus on practical steps when collaborating with various stakeholders and mastering communication, shared accountability, and business value. Some key topics covered within this skills series are:

  • Becoming a Data Owner (Champion)
  • Data Sharing and Access
  • Collaborating with the Data Team
  • Collaborative Decision-Making with Data
  • Data Collaboration Workflows
  • Cross-Functional Data Collaboration
  • Addressing Data Collaboration Challenges 
  • Translating Data

Course Details:

  • Full Course: 60 Minutes
  • Lesson Modules: 4-5 Minutes Each
  • DLesson Quizzes: 8 Quizzes (4-5 questions per quiz)

Who this is for?

  • Data Citizens

Completion

  • Member will receive a Data Collaboration V1 Completion Certificate 
  • Member will receive Skills Series Summary
  • Member will receive 3 Points per individual Skills Series Module
  • Program Completion Requirements

New sub-lessons will be uploaded to the skills series on an ongoing basis to ensure the material remains relevant, comprehensive, and aligned with the latest best practices in the community.

Data Stewardship V1

This skills series is designed to equip domain experts and data champions with the foundational knowledge and practical tools required to serve as the vital bridge between business units and the Data Governance office. As a blended learning path, this series moves beyond a single topic to cover a wide range of essential stewardship responsibilities, focusing on the execution of data strategy within specific business domains.

Members will gain insights into identifying data quality issues, translating tribal knowledge into formal business rules, and performing impact analyses to understand data lineage. Participants will be equipped to act as the first line of defense for data privacy and ethics while championing a "data-first" culture across their organization.

  • The Data Stewardship Mandate
  • Data Quality Dimensions for your Domain
  • Data Profiling, Documentation and Workflow
  • Data Lineage & Analysis
  • Ethics, Privacy, and Compliance

By the end of this course, participants will gain a comprehensive understanding of how to actively implement and maintain effective AI governance practices through strategic input, proactive risk assessment, and defined oversight roles.

Course Details:

  • Full Course: 60 Minutes
  • Lesson Modules: 4-5 Minutes Each
  • DLesson Quizzes: 8 Quizzes (4-5 questions per quiz)

Who this is for?

  • Business Data Stewards
  • Domain Experts
  • Data Champions

Completion

  • Member will receive a Data Stewardship V1 Completion Certificate 
  • Member will receive Skills Series Summary
  • Member will receive 3 Points per individual Skills Series Module
  • Program Completion Requirements 80%

New sub-lessons will be uploaded to the skills series on an ongoing basis to ensure the material remains relevant, comprehensive, and aligned with the latest best practices in the community.

Data Quality V1

This skills series is designed to provide data citizens with the essentials of data quality, giving learners an understanding of data quality fundamentals, business value, and best practices when producing, using, consuming, or processing data. Some key topics covered within this skills series are:

  • Importance of Data Accuracy
  • 6 Business Impacts of Poor Data
  • Introduction to Data Quality Roles
  • Identifying Data Issues
  • Data Quality Improvement Strategies
  • Data Quality Decision Making
  • Data Quality’s Impact on Customer Experience
  • 6 Data Quality Revenue Drivers

Course Details:

  • Full Course: 60 Minutes
  • Lesson Modules: 4-5 Minutes Each
  • DLesson Quizzes: 8 Quizzes (4-5 questions per quiz)

Who this is for?

  • Data Citizens, Data Governance Analysts, Data Governance Leaders

Completion

  • Member will receive a Data Quality V1 Completion Certificate 
  • Member will receive Skills Series Summary
  • Member will receive 3 Points per individual Skills Series Module
  • Program Completion Requirements 80%

New sub-lessons will be uploaded to the skills series on an ongoing basis to ensure the material remains relevant, comprehensive, and aligned with the latest best practices in the community.

Governance Drives Faster AI Product Launches PT3

  • What you will learn
    • In this quick course, you'll learn how AI governance can move beyond compliance to become a strategic accelerator for product companies. Explore the unique challenges AI products face, master effective governance principles, and discover practical strategies to scale governance globally while driving faster enterprise sales and stronger brand trust.
  • Key Takeaways:
    • Reposition AI governance as a strategic asset rather than just a compliance burden.
    • Address challenges such as fragmented ownership and variations in global regulations.
    • Apply risk-based, product-aligned, and evidence-driven governance practices.
    • Implement practical strategies to operationalize governance across diverse teams and organizations.
    • Strengthen product velocity, improve regulatory engagement, and build brand credibility through effective governance.
  • Completion
    • Member will receive 10 Points
  • About the speakers
    • Jovita Tam- Data/ AI Advisor Attorney

Responsible AI Practices in the Workplace V1

This skills series provides a comprehensive understanding of responsible AI usage in the workplace, from foundational concepts to practical implementation. Participants will learn how to interact with, evaluate, and leverage AI systems ethically and effectively within their organizations. The series explores the proper application of AI tools, understanding AI outputs, recognizing limitations, ensuring proper data inputs, and maintaining human oversight throughout the AI utilization process.

This course equips participants with the strategic skills to not only use AI systems responsibly but also to advocate for ethical AI adoption across their organizations. Learners will gain the confidence to critically assess AI tools, properly interpret AI-generated information, and ensure responsible implementation in business processes. By integrating these practical skills, professionals will be empowered to transform AI from a mysterious “black box” into a transparent, trustworthy, and powerful driver of business success, fostering a truly data-literate and ethically-conscious enterprise.

  • AI Bias Detection
  • Protecting Sensitive Data in AI
  • AI Explainability in the Workplace
  • AI Output Verification
  • Practical AI Transparency
  • AI Safety in the Workplace
  • Evaluating AI Apps Responsibly
  • AI Decision Thresholds

Course Details:

  • Full Course: 60 Minutes
  • Lesson Modules: 4-5 Minutes Each
  • Lesson Quizzes: 8 Quizzes (4-5 questions per quiz)

Who is this for?

  • Data Citizens
  • Data Governance Leaders
  • Data Governance Analysts

Completion

  • Member will receive a Responsible AI Practices in the Workplace V1 Completion Certificate 
  • Member will receive Skills Series Summary
  • Member will receive 3 Points per individual Skills Series Module
  • Program Completion Requirements 80%

New sub-lessons will be uploaded to the skills series on an ongoing basis to ensure the material remains relevant, comprehensive, and aligned with the latest best practices in the course.