- Level Foundation
- المدة 10 ساعات hours
- الطبع بواسطة IBM
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Offered by
عن
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.الوحدات
IBM DataFirst Data Privacy introduction lesson
1
Assignment
- IBM DataFirst Data Privacy introduction
5
Videos
- Meet Christopher Giardina
- Meet Tim Davis
- Meet Paul Christensen
- Transforming your business with modern data and AI architectures
- What is an IBM DataFirst engagement?
1
Readings
- Course disclaimer
Data governance and organizational structures lesson
1
Assignment
- Data governance and organizational structures
6
Videos
- Data governance and organizational structures introduction
- DataFirst
- Structures and roles
- Organization governance structures
- Use case example
- Questions to consider
Dealing with regulation lesson
2
Assignment
- Dealing with regulation - Practice quiz
- Dealing with regulation
4
Videos
- Introduction to considering data privacy rights
- Data protection, privacy and regulations overview
- Example of a deployment
- Data privacy regulations and initiatives
6
Readings
- Exploring regulations
- What is personal data?
- Core Principles
- A "Privacy Principles" approach
- Getting started
- Demonstrating compliance
Data governance intersections lesson
1
Assignment
- Data governance intersections
9
Videos
- Data governance intersections introduction
- Why data governance?
- Private data, use case types, and governance building blocks
- Key governance components: Who and what?
- What is metadata?
- Key governance components: Where, why, how?
- Data Privacy policies and procedures examples
- Example assessment guidance
- Questions to consider
1
Readings
- ODPi Egeria
Data privacy vs security lesson
1
Assignment
- Data privacy vs security
9
Videos
- Data privacy vs security introduction
- Underlying principles
- The difference between data privacy and security
- Privacy mechanisms
- Security mechanisms
- Governance driven protection and use case introduction
- Test data management use case
- Analytics and data science use case
- Summary
1
Readings
- An end-to-end framework for privacy at scale
Data privatization mechanisms lesson
1
Assignment
- Data privatization mechanisms
13
Videos
- Data privacy and the changing landscape
- Data privatization mechanisms introduction
- Personal data privatization vs. privatization of personal data
- Personal data categories
- Data topologies, use cases, and the data strategy perspective
- Typical mechanisms overview
- Data masking
- Tokenization
- Anonymization
- Data fabrication
- Personal data re-identification risk assessment
- Other related approaches
- Choosing privatization techniques and considerations
Conducting the workshop lesson
1
Assignment
- Conducting the workshop
13
Videos
- Conducting the workshop introduction
- DataFirst engagement
- The agenda
- The participants
- Day one
- Days two and three
- Days four and five
- Typical work products and deliverables
- High level data flow approach
- Breakdown of processes approach
- People, process, and technology views
- Drill down approach
- Roadmap guidance example
Auto Summary
Explore the foundational course "IBM Data Privacy for Information Architecture" in IT & Computer Science, taught by Coursera. Gain insights into data privacy, protection objectives, and mechanisms, using the IBM DataFirst method. Perfect for beginners, this 600-minute course offers Starter and Professional subscription options to enhance your data protection skills.

Christopher Giardina

Aaron Ritchie