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
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Approx. 10 heures pour terminer
Anglais
Sous-titres : Anglais
Compétences que vous acquerrez
Information PrivacyIBM datafirst method
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Approx. 10 heures pour terminer
Anglais
Sous-titres : Anglais
Offert par
IBM
IBM offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world's most advanced servers and supercomputers. Utilizing its business consulting, technology and R&D expertise, IBM helps clients become "smarter" as the planet becomes more digitally interconnected. IBM invests more than $6 billion a year in R&D, just completing its 21st year of patent leadership. IBM Research has received recognition beyond any commercial technology research organization and is home to 5 Nobel Laureates, 9 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 10 Inductees in US Inventors Hall of Fame.
Programme du cours : ce que vous apprendrez dans ce cours
1 heure pour terminer
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.
1 heure pour terminer
5 vidéos (Total 21 min), 1 lecture, 1 quiz
5 vidéos
Meet Tim Davis3 min
Meet Paul Christensen50s
Transforming your business with modern data and AI architectures15 min
What is an IBM DataFirst engagement?35s
1 lecture
Course disclaimer10 min
1 exercice pour s'entraîner
IBM DataFirst Data Privacy introduction15 min
1 heure pour terminer
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.
1 heure pour terminer
6 vidéos (Total 30 min)
6 vidéos
DataFirst1 min
Structures and roles8 min
Organization governance structures6 min
Use case example9 min
Questions to consider1 min
1 exercice pour s'entraîner
Data governance and organizational structures15 min
4 heures pour terminer
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.
4 heures pour terminer
4 vidéos (Total 11 min), 6 lectures, 2 quiz
4 vidéos
Data protection, privacy and regulations overview4 min
Example of a deployment2 min
Data privacy regulations and initiatives3 min
6 lectures
Exploring regulations2 h
What is personal data?10 min
Core Principles15 min
A "Privacy Principles" approach20 min
Getting started10 min
Demonstrating compliance10 min
2 exercices pour s'entraîner
Dealing with regulation - Practice quiz10 min
Dealing with regulation10 min
1 heure pour terminer
Data governance intersections
This week you will learn about data governance and its relation to data privacy objectives.
1 heure pour terminer
9 vidéos (Total 27 min), 1 lecture, 1 quiz
9 vidéos
Why data governance?2 min
Private data, use case types, and governance building blocks3 min
Key governance components: Who and what?2 min
What is metadata?6 min
Key governance components: Where, why, how?4 min
Data Privacy policies and procedures examples2 min
Example assessment guidance2 min
Questions to consider1 min
1 lecture
ODPi Egeria45 min
1 exercice pour s'entraîner
Data governance intersections15 min
Avis
Meilleurs avis pour IBM DATA PRIVACY FOR INFORMATION ARCHITECTURE
par BD29 déc. 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.
par RS3 mai 2020
Practice first guidance, clear and concise. Perfectly organized for a holistic approach to the theme under a proposed method.
par BP16 juin 2020
very informative but need content on regulatory part also
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