Level: Intermediate | Tags: Governance frameworks · Data quality · Policies

Level: Beginner | Tags: ChatGPT · Copilot · Gemini · Productivity

Course Description

Bad data leads to bad decisions. This course covers the critical frameworks required to ensure your organization’s data is accurate, secure, and compliant. Learn how to establish data ownership, clean up legacy errors, and enforce policies that build absolute trust in your reporting.

Learning Outcomes

  • Understand the core pillars of data governance: Quality, Security, and Accessibility.
  • Define roles and responsibilities, distinguishing between Data Owners and Data Stewards.
  • Implement basic data quality checks and auditing frameworks within your department.

Course Outline

  • Module 1: Introduction to Governance: Why Trust is the Most Important Metric
  • Module 2: Roles and Responsibilities: Who actually “owns” the data?
  • Module 3: Data Quality Frameworks: Accuracy, Completeness, and Timeliness
  • Module 4: Security and Compliance: Navigating privacy laws and internal access

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