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IBM Data Privacy for Information Architecture

IBM via Coursera


Data privacy controls how information is collected, used, shared, and disposed of, in accordance with policies or external laws and regulations. In this course, students will gain an understanding of what data privacy is along with how to identify and understand typical data protection and privatization objectives that an enterprise may have, and how to choose a data protection approach. The student will gain a background in multiple data privacy mechanisms and practices, and learn how to grow their data protection toolkit. The IBM DataFirst method will be the backbone of the discussion.


  • IBM DataFirst Data Privacy introduction
    • This week you will meet some of the course experts and receive an introduction to data privacy and the IBM DataFirst method.
  • Data governance and organizational structures
    • This week you will learn the importance of a sound and supporting set of governance and execution oriented organizational structures and roles for successfully supporting a data privacy objective.
  • Dealing with regulation
    • This week you will learn about the growing focus, world-wide, on data privacy rights and regulations that have been and continue to be enacted to protect the privacy of personal data and personal sensitive data.
  • Data governance intersections
    • This week you will learn about data governance and its relation to data privacy objectives.
  • Data privacy vs security
    • This week you will learn about the differences between data privacy and data security. You will also learn how privacy and security are complements of the same objective of data protection.
  • Data privatization mechanisms
    • This week you will learn about the typical categories of data privatization techniques that are applied to personal data to help make it "non-personal" and review how they might be combined to protect personal data based on the respective data and use case.
  • Conducting the workshop
    • This week you will learn the approach used in conducting a DataFirst workshop focused on a Data Privacy objective. The material should also prove useful for any organization that is about to undertake their own data focused projects with a data privacy oriented goal.

Taught by

Christopher Giardina


4.5 rating at Coursera based on 36 ratings

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