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 Data Privacy for Information Architecture
IBM Data Privacy for Information Architecture
Instructors: Christopher Giardina
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Gain insight into a topic and learn the fundamentals.
49 reviews
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
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Assessments
8 assignments
Taught in English
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There are 7 modules in this course
This week you will meet some of the course experts and receive an introduction to data privacy and the IBM DataFirst method.
What's included
5 videos1 reading1 assignment
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.
What's included
6 videos1 assignment
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.
What's included
4 videos6 readings2 assignments
This week you will learn about data governance and its relation to data privacy objectives.
What's included
9 videos1 reading1 assignment
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.
What's included
9 videos1 reading1 assignment
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.
What's included
13 videos1 assignment
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.
What's included
13 videos1 assignment
Instructors
Instructor ratings
(14 ratings)1 Course 3,414 learners
1 Course 3,414 learners
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Showing 3 of 49
BD
Reviewed on Dec 29, 2020
A very comprehensive and to-point training! Highly recommended to get a grasp on the array of concepts which Data privacy entails and to get acquainted with the breadth and depth of the program.
BP
Reviewed on May 30, 2021
Very valuable information with practical real-world examples presented in a professional manner at a good pace.
BP
Reviewed on Jun 16, 2020
very informative but need content on regulatory part also