Overview
Business data governance for non-technical professionals: a beginner-friendly, no-code, tool-agnostic path. Across four courses you'll move from foundations and core concepts to operating roles and artifacts, responsible data use, and measuring adoption with a 90-day capstone roadmap.
Syllabus
- Course 1: Data Governance Foundations for Trusted Decisions
- Course 2: Operating Data Governance in Everyday Work
- Course 3: Responsible Data Use and Risk Stewardship
- Course 4: Sustaining Governance with Metrics and Roadmaps
Courses
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Build a plain-language, no-code foundation for data governance as a business discipline. You'll define what governance is, distinguish it from data management and security, connect it to business value, build shared vocabulary, preview governance roles, and reframe the myths that stall adoption — creating a trusted business definition and a stakeholder map along the way.
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Turn governance concepts into working practice. You'll assign data ownership and stewardship, clarify decision rights with RACI, translate principles into workable standards, curate catalog records, and trace business lineage — establishing a simple operating rhythm that keeps governance alive in everyday work, all without any code.
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Apply governance to responsible data use without needing technical security or legal expertise. You'll classify data sensitivity, apply core privacy principles, coordinate security responsibilities, manage data retention, and evaluate ethical risks — following a repeatable triage pattern to identify risks, consult the right partners, and document clear decisions.
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Make governance measurable, adoptable, and sustainable. You'll select meaningful governance metrics, measure data quality, assess maturity and adoption, drive adoption through change, and build a 90-day roadmap. As the capstone, you'll adapt provided scorecard, maturity, and roadmap templates while challenging vanity metrics and defending your priorities.