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.
This week you will meet some of the course experts and receive an introduction to data privacy and the IBM DataFirst method.
Das ist alles enthalten
5 Videos1 Lektüre1 Aufgabe
Infos zu Modulinhalt anzeigen
5 Videos•Insgesamt 21 Minuten
Meet Christopher Giardina•1 Minute
Meet Tim Davis•3 Minuten
Meet Paul Christensen•1 Minute
Transforming your business with modern data and AI architectures•15 Minuten
What is an IBM DataFirst engagement?•1 Minute
1 Lektüre•Insgesamt 10 Minuten
Course disclaimer•10 Minuten
1 Aufgabe•Insgesamt 15 Minuten
IBM DataFirst Data Privacy introduction•15 Minuten
Data governance and organizational structures
Modul 2•1 Stunde abzuschließen
Moduldetails
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.
Das ist alles enthalten
6 Videos1 Aufgabe
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6 Videos•Insgesamt 30 Minuten
Data governance and organizational structures introduction•2 Minuten
DataFirst•2 Minuten
Structures and roles•9 Minuten
Organization governance structures•7 Minuten
Use case example•9 Minuten
Questions to consider•2 Minuten
1 Aufgabe•Insgesamt 15 Minuten
Data governance and organizational structures•15 Minuten
Dealing with regulation
Modul 3•4 Stunden abzuschließen
Moduldetails
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.
Das ist alles enthalten
4 Videos6 Lektüren2 Aufgaben
Infos zu Modulinhalt anzeigen
4 Videos•Insgesamt 11 Minuten
Introduction to considering data privacy rights•1 Minute
Data protection, privacy and regulations overview•4 Minuten
Example of a deployment•2 Minuten
Data privacy regulations and initiatives•3 Minuten
6 Lektüren•Insgesamt 185 Minuten
Exploring regulations•120 Minuten
What is personal data?•10 Minuten
Core Principles•15 Minuten
A "Privacy Principles" approach•20 Minuten
Getting started•10 Minuten
Demonstrating compliance•10 Minuten
2 Aufgaben•Insgesamt 20 Minuten
Dealing with regulation - Practice quiz•10 Minuten
Dealing with regulation•10 Minuten
Data governance intersections
Modul 4•1 Stunde abzuschließen
Moduldetails
This week you will learn about data governance and its relation to data privacy objectives.
Das ist alles enthalten
9 Videos1 Lektüre1 Aufgabe
Infos zu Modulinhalt anzeigen
9 Videos•Insgesamt 27 Minuten
Data governance intersections introduction•1 Minute
Why data governance?•2 Minuten
Private data, use case types, and governance building blocks•3 Minuten
Key governance components: Who and what?•3 Minuten
Data Privacy policies and procedures examples•3 Minuten
Example assessment guidance•2 Minuten
Questions to consider•2 Minuten
1 Lektüre•Insgesamt 45 Minuten
ODPi Egeria•45 Minuten
1 Aufgabe•Insgesamt 15 Minuten
Data governance intersections•15 Minuten
Data privacy vs security
Modul 5•1 Stunde abzuschließen
Moduldetails
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.
Das ist alles enthalten
9 Videos1 Lektüre1 Aufgabe
Infos zu Modulinhalt anzeigen
9 Videos•Insgesamt 47 Minuten
Data privacy vs security introduction•2 Minuten
Underlying principles•2 Minuten
The difference between data privacy and security•8 Minuten
Privacy mechanisms•12 Minuten
Security mechanisms•2 Minuten
Governance driven protection and use case introduction•3 Minuten
Test data management use case•5 Minuten
Analytics and data science use case•12 Minuten
Summary•2 Minuten
1 Lektüre•Insgesamt 10 Minuten
An end-to-end framework for privacy at scale•10 Minuten
1 Aufgabe•Insgesamt 15 Minuten
Data privacy vs security•15 Minuten
Data privatization mechanisms
Modul 6•2 Stunden abzuschließen
Moduldetails
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.
Das ist alles enthalten
13 Videos1 Aufgabe
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13 Videos•Insgesamt 71 Minuten
Data privacy and the changing landscape•2 Minuten
Data privatization mechanisms introduction•2 Minuten
Personal data privatization vs. privatization of personal data•3 Minuten
Personal data categories•4 Minuten
Data topologies, use cases, and the data strategy perspective•2 Minuten
Typical mechanisms overview•5 Minuten
Data masking•10 Minuten
Tokenization•12 Minuten
Anonymization•8 Minuten
Data fabrication•5 Minuten
Personal data re-identification risk assessment•12 Minuten
Other related approaches•3 Minuten
Choosing privatization techniques and considerations•3 Minuten
1 Aufgabe•Insgesamt 20 Minuten
Data privatization mechanisms•20 Minuten
Conducting the workshop
Modul 7•1 Stunde abzuschließen
Moduldetails
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.
Das ist alles enthalten
13 Videos1 Aufgabe
Infos zu Modulinhalt anzeigen
13 Videos•Insgesamt 40 Minuten
Conducting the workshop introduction•3 Minuten
DataFirst engagement•4 Minuten
The agenda•1 Minute
The participants•2 Minuten
Day one•6 Minuten
Days two and three•7 Minuten
Days four and five•2 Minuten
Typical work products and deliverables•9 Minuten
High level data flow approach•1 Minute
Breakdown of processes approach•1 Minute
People, process, and technology views•2 Minuten
Drill down approach•2 Minuten
Roadmap guidance example•1 Minute
1 Aufgabe•Insgesamt 15 Minuten
Conducting the workshop•15 Minuten
Dozenten
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Wir haben alle Lernenden um Feedback zu unseren Dozenten gebeten, ausgehend von der Qualität ihres Unterrichtsstils.
IBM is the global leader in business transformation through an open hybrid cloud platform and AI, serving clients in more than 170 countries around the world. Today 47 of the Fortune 50 Companies rely on the IBM Cloud to run their business, and IBM Watson enterprise AI is hard at work in more than 30,000 engagements. IBM is also one of the world’s most vital corporate research organizations, with 28 consecutive years of patent leadership. Above all, guided by principles for trust and transparency and support for a more inclusive society, IBM is committed to being a responsible technology innovator and a force for good in the world.
For more information about IBM visit: www.ibm.com
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Bewertungen von Lernenden
4.5
49 Bewertungen
5 stars
71,42 %
4 stars
16,32 %
3 stars
8,16 %
2 stars
0 %
1 star
4,08 %
Zeigt 3 von 49 an
B
BP
5·
Geprüft am 30. Mai 2021
Very valuable information with practical real-world examples presented in a professional manner at a good pace.
B
BD
5·
Geprüft am 29. Dez. 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.
M
M
5·
Geprüft am 1. Jan. 2026
this is very helpful for me to know mor e about data privacy with expert
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