IBM Data Privacy for Information Architecture

Instructors: Christopher Giardina

Access provided by Pontificia Universidad Católica del Perú

3,442 already enrolled

7 modules

Gain insight into a topic and learn the fundamentals.

49 reviews

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

7 modules

Gain insight into a topic and learn the fundamentals.

49 reviews

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

Skills you'll gain

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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 videos Total 21 minutes

Meet Christopher Giardina 1 minute
Meet Tim Davis 3 minutes
Meet Paul Christensen 1 minute
Transforming your business with modern data and AI architectures 15 minutes
What is an IBM DataFirst engagement? 1 minute

1 reading Total 10 minutes

Course disclaimer 10 minutes

1 assignment Total 15 minutes

IBM DataFirst Data Privacy introduction 15 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 videos Total 11 minutes

Introduction to considering data privacy rights 1 minute
Data protection, privacy and regulations overview 4 minutes
Example of a deployment 2 minutes
Data privacy regulations and initiatives 3 minutes

6 readings Total 185 minutes

Exploring regulations 120 minutes
What is personal data? 10 minutes
Core Principles 15 minutes
A "Privacy Principles" approach 20 minutes
Getting started 10 minutes
Demonstrating compliance 10 minutes

2 assignments Total 20 minutes

Dealing with regulation - Practice quiz 10 minutes
Dealing with regulation 10 minutes

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

What's included

9 videos1 reading1 assignment

9 videos Total 27 minutes

Data governance intersections introduction 1 minute
Why data governance? 2 minutes
Private data, use case types, and governance building blocks 3 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 examples 3 minutes
Example assessment guidance 2 minutes
Questions to consider 2 minutes

1 reading Total 45 minutes

ODPi Egeria 45 minutes

1 assignment Total 15 minutes

Data governance intersections 15 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 videos Total 47 minutes

Data privacy vs security introduction 2 minutes
Underlying principles 2 minutes
The difference between data privacy and security 8 minutes
Privacy mechanisms 12 minutes
Security mechanisms 2 minutes
Governance driven protection and use case introduction 3 minutes
Test data management use case 5 minutes
Analytics and data science use case 12 minutes
Summary 2 minutes

1 reading Total 10 minutes

An end-to-end framework for privacy at scale 10 minutes

1 assignment Total 15 minutes

Data privacy vs security 15 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 videos Total 71 minutes

Data privacy and the changing landscape 2 minutes
Data privatization mechanisms introduction 2 minutes
Personal data privatization vs. privatization of personal data 3 minutes
Personal data categories 4 minutes
Data topologies, use cases, and the data strategy perspective 2 minutes
Typical mechanisms overview 5 minutes
Data masking 10 minutes
Tokenization 12 minutes
Anonymization 8 minutes
Data fabrication 5 minutes
Personal data re-identification risk assessment 12 minutes
Other related approaches 3 minutes
Choosing privatization techniques and considerations 3 minutes

1 assignment Total 20 minutes

Data privatization mechanisms 20 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 videos Total 40 minutes

Conducting the workshop introduction 3 minutes
DataFirst engagement 4 minutes
The agenda 1 minute
The participants 2 minutes
Day one 6 minutes
Days two and three 7 minutes
Days four and five 2 minutes
Typical work products and deliverables 9 minutes
High level data flow approach 1 minute
Breakdown of processes approach 1 minute
People, process, and technology views 2 minutes
Drill down approach 2 minutes
Roadmap guidance example 1 minute

1 assignment Total 15 minutes

Conducting the workshop 15 minutes

Instructors

Instructor ratings

(14 ratings)

Christopher Giardina

1 Course 3,442 learners

Aaron Ritchie

1 Course 3,442 learners

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IBM

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Reviewed on May 30, 2021

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

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.

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