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LinkedIn Learning

Mastering Data Governance and Ethics

via LinkedIn Learning Path

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Overview

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Please be advised that LinkedIn Learning will retire this learning path on September 28, 2026. In order to receive a certificate of completion, you must complete all courses in the path before that date.

Data governance and stewardship are vital skills in an increasingly data-dominated world. Anyone involved in the digital transformation of businesses and institutions needs a solid grounding in managing data and information. Get started learning these necessary skills now!
  • Learn the cross-disciplinary skills that are in demand.
  • Compare your current skills with data steward requirements.
  • Learn why data ethics skills are vital in data-driven fields.

Syllabus

Courses under this program:
Course 1: Data Rights Foundations
-Learn what rights you have to your own data—and what responsibilities businesses and institutions have to protect and respect those rights.

Course 2: Learning Data Governance
-Understand why data governance is an essential part of helping every organization succeed in the era of big data and data science.

Course 3: Data Steward Foundations
-Learn how data stewardship programs build business value by ensuring data quality, protecting data integrity, and maintaining security and regulatory compliance.

Course 4: Designing Data Governance
-Learn how to design a data-driven culture that unites colleagues across teams to solve your most pressing business problems with the right high-quality data at scale.

Course 5: Automated Data Governance in Practice
-An introductory course on DataGovOps that provides an understanding of the value of integrating data governance practices with DataOps methodologies.

Course 6: Data Ethics: Watching Out for Data Misuse
-Find out how data ethics may impact data misuse, accuracy, and data models and how you can discuss these issues in a way that's both meaningful and productive.

Course 7: Data Ethics: Making Data-Driven Decisions
-Learn how to design computer algorithms to be more ethical when making complex decisions.

Course 8: Foundations of Responsible AI
-Explore a practical framework for implementing AI practices in a way that bridges the gap between high-level AI ethics principles and day-to-day technical decisions.

Course 9: Responsible AI: Principles and Practical Applications
-Learn how AI is being used today and how to ensure its responsible usage into the future.

Courses

Taught by

Robert F. Smallwood MBA, CIGO, CIP, IGP, Jonathan Reichental, Ph.D., Jungwoo Ryoo and Lisa Bock

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