IBM Data Privacy for Information Architecture

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IBM Data Privacy for Information Architecture

位教师：Christopher Giardina

3,450 人已注册

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7个模块

深入了解一个主题并学习基础知识。

49 条评论

1 周完成

在 10 小时一周

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自行安排学习进度

7个模块

深入了解一个主题并学习基础知识。

49 条评论

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

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要了解的详细信息

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作业

8 项作业

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有7个模块

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.

涵盖的内容

5个视频1篇阅读材料1个作业

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.

涵盖的内容

6个视频1个作业

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.

涵盖的内容

4个视频6篇阅读材料2个作业

4个视频总计11分钟

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

6篇阅读材料总计185分钟

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

2个作业总计20分钟

Dealing with regulation10分钟
Dealing with regulation - Practice quiz10分钟

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

涵盖的内容

9个视频1篇阅读材料1个作业

9个视频总计27分钟

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

1篇阅读材料总计45分钟

ODPi Egeria45分钟

1个作业总计15分钟

Data governance intersections15分钟

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.

涵盖的内容

9个视频1篇阅读材料1个作业

9个视频总计47分钟

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

1篇阅读材料总计10分钟

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

1个作业总计15分钟

Data privacy vs security15分钟

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.

涵盖的内容

13个视频1个作业

13个视频总计71分钟

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

1个作业总计20分钟

Data privatization mechanisms20分钟

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.

涵盖的内容

13个视频1个作业

13个视频总计40分钟

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

1个作业总计15分钟

Conducting the workshop15分钟

位教师

授课教师评分

(14个评价)

Christopher Giardina

1 门课程3,450 名学生

Aaron Ritchie

1 门课程3,450 名学生

提供方

IBM

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学生评论

5 stars
71.42%
4 stars
16.32%
3 stars
8.16%
2 stars
0%
1 star
4.08%

显示 3/49 个

已于 May 30, 2021审阅

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

已于 May 3, 2020审阅

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

已于 Jun 16, 2020审阅

very informative but need content on regulatory part also

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