IBM Data Privacy for Information Architecture

Instructors: Christopher Giardina

Sponsored by Louisiana Workforce Commission

3,125 already enrolled

7 modules

Gain insight into a topic and learn the fundamentals.

4.5

(47 reviews)

10 hours to complete

3 weeks at 3 hours a week

Flexible schedule

Learn at your own pace

7 modules

Gain insight into a topic and learn the fundamentals.

4.5

(47 reviews)

10 hours to complete

3 weeks at 3 hours a week

Flexible schedule

Learn at your own pace

Details to know

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Assessments

8 assignments

Taught in English

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There are 7 modules in this course

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.

What's included

5 videos1 reading1 assignment

5 videosTotal 20 minutes

Meet Christopher Giardina1 minutePreview module
Meet Tim Davis3 minutes
Meet Paul Christensen0 minutes
Transforming your business with modern data and AI architectures15 minutes
What is an IBM DataFirst engagement?0 minutes

1 readingTotal 10 minutes

Course disclaimer10 minutes

1 assignmentTotal 15 minutes

IBM DataFirst Data Privacy introduction15 minutes

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

4 videosTotal 10 minutes

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

6 readingsTotal 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 assignmentsTotal 20 minutes

Dealing with regulation10 minutes
Dealing with regulation - Practice quiz10 minutes

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

What's included

9 videos1 reading1 assignment

9 videosTotal 26 minutes

Data governance intersections introduction1 minutePreview module
Why data governance?2 minutes
Private data, use case types, and governance building blocks3 minutes
Key governance components: Who and what?2 minutes
What is metadata?6 minutes
Key governance components: Where, why, how?4 minutes
Data Privacy policies and procedures examples2 minutes
Example assessment guidance2 minutes
Questions to consider1 minute

1 readingTotal 45 minutes

ODPi Egeria45 minutes

1 assignmentTotal 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.

What's included

9 videos1 reading1 assignment

9 videosTotal 47 minutes

Data privacy vs security introduction1 minutePreview module
Underlying principles2 minutes
The difference between data privacy and security7 minutes
Privacy mechanisms11 minutes
Security mechanisms1 minute
Governance driven protection and use case introduction2 minutes
Test data management use case4 minutes
Analytics and data science use case12 minutes
Summary1 minute

1 readingTotal 10 minutes

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

1 assignmentTotal 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.

What's included

13 videos1 assignment

13 videosTotal 70 minutes

Data privacy and the changing landscape1 minutePreview module
Data privatization mechanisms introduction2 minutes
Personal data privatization vs. privatization of personal data2 minutes
Personal data categories3 minutes
Data topologies, use cases, and the data strategy perspective1 minute
Typical mechanisms overview4 minutes
Data masking9 minutes
Tokenization12 minutes
Anonymization8 minutes
Data fabrication4 minutes
Personal data re-identification risk assessment12 minutes
Other related approaches3 minutes
Choosing privatization techniques and considerations3 minutes

1 assignmentTotal 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.

What's included

13 videos1 assignment

13 videosTotal 39 minutes

Conducting the workshop introduction2 minutesPreview module
DataFirst engagement4 minutes
The agenda1 minute
The participants1 minute
Day one5 minutes
Days two and three7 minutes
Days four and five1 minute
Typical work products and deliverables8 minutes
High level data flow approach0 minutes
Breakdown of processes approach1 minute
People, process, and technology views2 minutes
Drill down approach1 minute
Roadmap guidance example1 minute

1 assignmentTotal 15 minutes

Conducting the workshop15 minutes

Instructors

Instructor ratings

4.6 (13 ratings)

Christopher Giardina

1 Course3,125 learners

Aaron Ritchie

1 Course3,125 learners

Offered by

IBM

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Learner reviews

4.5

47 reviews

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3 stars
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Reviewed on May 3, 2020

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

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.

Reviewed on Jun 16, 2020

very informative but need content on regulatory part also

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