Data Governance

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About the Course

This course provides a comprehensive introduction to data governance, covering the frameworks, processes, and best practices needed to manage and secure data assets effectively. Participants will learn about data stewardship, compliance, data quality, and risk management, gaining the knowledge necessary to implement governance policies that enhance data integrity and support organizational goals.

Curriculum

  • Module 1: Introduction to Data Governance
    DESCRIPTION

    Overview:

    This module introduces data governance principles, objectives, and its critical role in supporting business strategy and regulatory compliance.

    Topics to Cover:

    • What is data governance, and why it matters
    • Core components of a data governance framework
    • Key roles in data governance (e.g., data steward, data custodian)

  • Module 2: Data Stewardship and Accountability
    DESCRIPTION

    Overview:

    This module covers the responsibilities of data stewards and the importance of establishing accountability structures to manage data assets.

    Topics to Cover:

    • Defining data ownership and stewardship
    • Data lifecycle management and stewardship responsibilities
    • Creating accountability frameworks and reporting structures

  • Module 3: Data Quality and Standards
    DESCRIPTION

    Overview:

    Participants will learn about data quality management practices, data standards, and how to establish processes to ensure data reliability and usability.

    Topics to Cover:

    • Defining data quality dimensions (accuracy, completeness, consistency)
    • Implementing data quality standards and metrics
    • Tools for data quality monitoring and assessment

  • Module 4: Compliance, Privacy, and Security
    DESCRIPTION

    Overview:

    This module explores regulatory requirements, privacy laws, and security measures needed to protect data. Participants will learn how to align data governance with compliance obligations.

    Topics to Cover:

    • Overview of data privacy laws (e.g., GDPR, CCPA)
    • Data classification and access control
    • Strategies for data protection and breach response

  • Module 5: Risk Management in Data Governance
    DESCRIPTION

    Overview:

    Focused on identifying and mitigating risks, this module covers risk assessment frameworks and methods to protect data integrity and confidentiality.

    Topics to Cover:

    • Identifying risks related to data management and storage
    • Risk assessment frameworks (e.g., FAIR, NIST)
    • Mitigating data risks and ensuring business continuity

  • Module 6: Data Governance Tools and Technologies
    DESCRIPTION

    Overview:

    Participants will explore tools and platforms that support data governance activities, including data cataloging, metadata management, and access control.

    Topics to Cover:

    • Data governance tools overview (e.g., Collibra, Alation, Informatica)
    • Using metadata management tools
    • Automated data lineage and cataloging

  • Module 7: Real-World Applications and Project
    DESCRIPTION

    Overview:

    In this capstone module, participants will apply data governance principles to a hands-on project, creating a governance plan tailored to a specific use case.

    Topics to Cover:

    • Project planning: defining governance goals, roles, and responsibilities
    • Developing a data governance policy and framework
    • Presenting the project plan and key governance metrics

Learning Outcomes

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

  • Understand the principles and components of a data governance framework.
  • Implement data stewardship and accountability measures.
  • Apply data quality standards and monitor compliance with regulations.
  • Mitigate data risks and ensure data security and privacy.
  • Create a data governance plan that aligns with organizational goals.

Tools

Data governance platforms: Collibra, Alation, Informatica
Tools for data quality and lineage tracking
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FAQ

Frequently asked questions about the bootcamp

The course is structured into weekly modules, each containing video lectures, reading materials, assignments, and quizzes. You can complete the modules at your own pace, but we recommend following the weekly schedule to stay on track.

You can get support in multiple ways:

  • TA Support on Slack: Our teaching assistants are available on Slack to answer your questions and provide guidance.
  • Peer Community on Discord: Join our Discord community to discuss course topics, share ideas, and collaborate with fellow students.

TAs are available on Slack from 9 AM to 6 PM (ET) Monday to Friday. Outside these hours, you can still post your questions, and TAs will respond as soon as they are back online.

After enrolling in the course, you will receive an invitation link to join the Discord community. Follow the link to create an account or log in to your existing account.

The Discord community offers peer-to-peer support, where you can discuss course topics, share resources, collaborate on projects, and network with fellow learners

The optional mentoring service includes one-on-one sessions with an experienced mentor who can provide personalized guidance, feedback on your progress, and help you set and achieve your learning goals.

Please talk to our Program Advisors to sign up for Mentorship services for an additional cost

Yes, you will have lifetime access to the course materials, including any updates made to the content in the future.

We accept all major credit cards, PayPal, and bank transfers. You can choose your preferred payment method at checkout

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