4.5
stars
37 ratings

Christopher Giardina +1 more instructor

2,359 already enrolled

Offered By

IBM Data Privacy for Information Architecture

IBM

About this Course

5,357 recent views

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.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

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Approx. 10 hours to complete

English

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Skills you will gain

Information Privacy
IBM datafirst method

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Approx. 10 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Instructor rating

4.54/5 (11 Ratings)

Christopher Giardina

WW Data Privacy & ILM Architect

2,359 Learners

1 Course

Aaron Ritchie

Content Development Lead

IBM Data & AI Learning

2,359 Learners

1 Course

Offered by

IBM

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.

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Syllabus - What you will learn from this course

Week1

Week 1

1 hour to complete

IBM DataFirst Data Privacy introduction

1 hour to complete

5 videos (Total 21 min), 1 reading, 1 quiz

Week2

Week 2

1 hour to complete

Data governance and organizational structures

1 hour to complete

6 videos (Total 30 min)

Week3

Week 3

4 hours to complete

Dealing with regulation

4 hours to complete

4 videos (Total 11 min), 6 readings, 2 quizzes

4 videos

Introduction to considering data privacy rights1mData protection, privacy and regulations overview4mExample of a deployment2mData privacy regulations and initiatives3m

6 readings

Exploring regulations2hWhat is personal data?10mCore Principles15mA "Privacy Principles" approach20mGetting started10mDemonstrating compliance10m

2 practice exercises

Dealing with regulation - Practice quiz10mDealing with regulation10m

Week4

Week 4

1 hour to complete

Data governance intersections

1 hour to complete

9 videos (Total 27 min), 1 reading, 1 quiz

9 videos

Data governance intersections introduction1mWhy data governance?2mPrivate data, use case types, and governance building blocks3mKey governance components: Who and what?2mWhat is metadata?6mKey governance components: Where, why, how?4mData Privacy policies and procedures examples2mExample assessment guidance2mQuestions to consider1m

1 reading

ODPi Egeria45m

1 practice exercise

Data governance intersections15m

Week5

Week 5

1 hour to complete

Data privacy vs security

1 hour to complete

9 videos (Total 47 min), 1 reading, 1 quiz

Week6

Week 6

2 hours to complete

Data privatization mechanisms

2 hours to complete

13 videos (Total 71 min)

13 videos

Data privacy and the changing landscape1mData privatization mechanisms introduction2mPersonal data privatization vs. privatization of personal data2mPersonal data categories3mData topologies, use cases, and the data strategy perspective1mTypical mechanisms overview4mData masking9mTokenization12mAnonymization8mData fabrication4mPersonal data re-identification risk assessment12mOther related approaches3mChoosing privatization techniques and considerations3m

1 practice exercise

Data privatization mechanisms20m

Week7

Week 7

1 hour to complete

Conducting the workshop

1 hour to complete

13 videos (Total 40 min)

Reviews

4.5

10 reviews

5 stars
75.67%
4 stars
13.51%
3 stars
5.40%
1 star
5.40%

TOP REVIEWS FROM IBM DATA PRIVACY FOR INFORMATION ARCHITECTURE

by BPMay 30, 2021

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

by BDDec 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.

by BPJun 16, 2020

very informative but need content on regulatory part also

by RSMay 3, 2020

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

View all reviews

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Is financial aid available?
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IBM Data Privacy for Information Architecture

IBM Data Privacy for Information Architecture

About this Course

Skills you will gain