IBM Data Privacy for Information Architecture

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IBM Data Privacy for Information Architecture

Instructeurs : Christopher Giardina

3 471 déjà inscrits

Inclus avec

7 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

49 avis

1 semaine à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

7 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

49 avis

1 semaine à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

Compétences que vous acquerrez

Catégorie : Data Processing
Catégorie : Information Privacy
Catégorie : Data Strategy
Catégorie : Law, Regulation, and Compliance
Catégorie : Data Management
Catégorie : Security Controls
Catégorie : Data Security
Catégorie : Metadata Management
Catégorie : Personally Identifiable Information
Catégorie : General Data Protection Regulation (GDPR)
Catégorie : Data Governance
Catégorie : Data Architecture

Détails à connaître

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Évaluations

8 devoirs

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Il y a 7 modules dans ce cours

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.

Inclus

5 vidéos1 lecture1 devoir

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.

Inclus

6 vidéos1 devoir

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.

Inclus

4 vidéos6 lectures2 devoirs

4 vidéosTotal 11 minutes

Introduction to considering data privacy rights1 minute
Data protection, privacy and regulations overview4 minutes
Example of a deployment2 minutes
Data privacy regulations and initiatives3 minutes

6 lecturesTotal 185 minutes

Exploring regulations120 minutes
What is personal data?10 minutes
Core Principles15 minutes
A "Privacy Principles" approach20 minutes
Getting started10 minutes
Demonstrating compliance10 minutes

2 devoirsTotal 20 minutes

Dealing with regulation - Practice quiz10 minutes
Dealing with regulation10 minutes

This week you will learn about data governance and its relation to data privacy objectives.

Inclus

9 vidéos1 lecture1 devoir

9 vidéosTotal 27 minutes

Data governance intersections introduction1 minute
Why data governance?2 minutes
Private data, use case types, and governance building blocks3 minutes
Key governance components: Who and what?3 minutes
What is metadata?6 minutes
Key governance components: Where, why, how?5 minutes
Data Privacy policies and procedures examples3 minutes
Example assessment guidance2 minutes
Questions to consider2 minutes

1 lectureTotal 45 minutes

ODPi Egeria45 minutes

1 devoirTotal 15 minutes

Data governance intersections15 minutes

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.

Inclus

9 vidéos1 lecture1 devoir

9 vidéosTotal 47 minutes

Data privacy vs security introduction2 minutes
Underlying principles2 minutes
The difference between data privacy and security8 minutes
Privacy mechanisms12 minutes
Security mechanisms2 minutes
Governance driven protection and use case introduction3 minutes
Test data management use case5 minutes
Analytics and data science use case12 minutes
Summary2 minutes

1 lectureTotal 10 minutes

An end-to-end framework for privacy at scale10 minutes

1 devoirTotal 15 minutes

Data privacy vs security15 minutes

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.

Inclus

13 vidéos1 devoir

13 vidéosTotal 71 minutes

Data privacy and the changing landscape2 minutes
Data privatization mechanisms introduction2 minutes
Personal data privatization vs. privatization of personal data3 minutes
Personal data categories4 minutes
Data topologies, use cases, and the data strategy perspective2 minutes
Typical mechanisms overview5 minutes
Data masking10 minutes
Tokenization12 minutes
Anonymization8 minutes
Data fabrication5 minutes
Personal data re-identification risk assessment12 minutes
Other related approaches3 minutes
Choosing privatization techniques and considerations3 minutes

1 devoirTotal 20 minutes

Data privatization mechanisms20 minutes

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.

Inclus

13 vidéos1 devoir

13 vidéosTotal 40 minutes

Conducting the workshop introduction3 minutes
DataFirst engagement4 minutes
The agenda1 minute
The participants2 minutes
Day one6 minutes
Days two and three7 minutes
Days four and five2 minutes
Typical work products and deliverables9 minutes
High level data flow approach1 minute
Breakdown of processes approach1 minute
People, process, and technology views2 minutes
Drill down approach2 minutes
Roadmap guidance example1 minute

1 devoirTotal 15 minutes

Conducting the workshop15 minutes

Instructeurs

Évaluations de l’enseignant

(14 évaluations)

Christopher Giardina

1 Cours3 471 apprenants

Aaron Ritchie

1 Cours3 471 apprenants

Offert par

IBM

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Felipe M.

Étudiant(e) depuis 2018

’Pouvoir suivre des cours à mon rythme à été une expérience extraordinaire. Je peux apprendre chaque fois que mon emploi du temps me le permet et en fonction de mon humeur.’

Jennifer J.

Étudiant(e) depuis 2020

’J'ai directement appliqué les concepts et les compétences que j'ai appris de mes cours à un nouveau projet passionnant au travail.’

Larry W.

Étudiant(e) depuis 2021

’Lorsque j'ai besoin de cours sur des sujets que mon université ne propose pas, Coursera est l'un des meilleurs endroits où se rendre.’

Chaitanya A.

’Apprendre, ce n'est pas seulement s'améliorer dans son travail : c'est bien plus que cela. Coursera me permet d'apprendre sans limites.’

Avis des étudiants

5 stars
71,42 %
4 stars
16,32 %
3 stars
8,16 %
2 stars
0 %
1 star
4,08 %

Affichage de 3 sur 49

Révisé le 30 mai 2021

Very valuable information with practical real-world examples presented in a professional manner at a good pace.

Révisé le 1 janv. 2026

this is very helpful for me to know mor e about data privacy with expert

Révisé le 3 mai 2020

Practice first guidance, clear and concise. Perfectly organized for a holistic approach to the theme under a proposed method.

Voir plus d’avis

Foire Aux Questions

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