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Christopher Giardina and Aaron Ritchie

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.

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Syllabus

IBM DataFirst Data Privacy introduction
This week you will meet some of the course experts and receive an introduction to data privacy and the IBM DataFirst method.
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Examines the legal landscape of data privacy, helping learners stay abreast of regulations
Employs the IBM DataFirst method, a widely recognized approach to data privacy
Imparts a comprehensive understanding of data privacy principles and concepts
Advises students to take data governance and organizational structures courses first, indicating a more advanced learning path

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Reviews summary

Ibm data privacy core principles and architecture

According to students, this course offers a solid foundation in data privacy, particularly for those working in information architecture and needing to navigate the regulatory landscape. Learners frequently praise the clarity in distinguishing between data privacy and data security, finding this module especially insightful and valuable. The course is well-structured, providing an understanding of data protection objectives and various privatization mechanisms. While the inclusion of the IBM DataFirst method is a key feature, some reviews indicate the course leans more towards theoretical knowledge rather than hands-on application, suggesting it's ideal for those seeking a comprehensive overview rather than deep technical implementation.
Introduces IBM's approach to data privacy objectives.
"The IBM DataFirst method provided a useful framework for understanding enterprise data privacy objectives."
"As someone working with IBM technologies, the DataFirst approach was particularly relevant and applicable."
"While interesting, the strong emphasis on the IBM DataFirst method might be less relevant for those not in the IBM ecosystem."
Clearly distinguishes data privacy from data security.
"The course's ability to clearly differentiate between data privacy and data security was a major takeaway for me."
"I no longer confuse privacy and security; this course articulated their distinct yet complementary roles perfectly."
"The detailed explanation of how privacy and security work hand-in-hand for data protection was insightful."
Helpful in understanding global data privacy regulations.
"The module on dealing with regulations was incredibly helpful, providing a global perspective on compliance."
"I appreciated the deep dive into the growing worldwide focus on data privacy rights and enacted regulations."
"It gave me crucial insights into identifying and adhering to relevant data protection laws."
A strong introduction to core data privacy principles.
"This course provided an excellent introduction to data privacy principles and its relevance for enterprise information architecture."
"I gained a solid understanding of fundamental data protection objectives and various mechanisms."
"It clearly outlines what data privacy is and how it integrates into organizational structures."
Offers a broad overview, less ideal for advanced learners.
"For an experienced professional, some parts might feel a bit too high-level and introductory."
"It's a great starting point for beginners, but I was hoping for more in-depth technical details in certain areas."
"The course covers a wide range of topics but sometimes sacrifices depth for breadth."
Primarily theoretical with limited hands-on application.
"The workshop section felt largely theoretical; I wished for more practical, hands-on scenarios or case studies."
"While the concepts are well-explained, I found a lack of practical exercises to apply the data privatization techniques."
"This course is excellent for conceptual understanding but could benefit from more real-world implementation examples."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in IBM Data Privacy for Information Architecture with these activities:
Read "Data Privacy Law and Regulation"
Gain a comprehensive understanding of the legal and regulatory landscape of data privacy by reviewing this authoritative text.
Show steps
  • Read and comprehend each chapter, paying attention to key concepts and legal frameworks
  • Highlight and annotate important passages for future reference
  • Summarize the main takeaways and implications for data privacy practices
Attend a Data Privacy Workshop or Seminar
Enhance your knowledge and stay up-to-date on industry practices by attending workshops or seminars focused on data privacy.
Show steps
  • Research and identify upcoming data privacy events in your area or online
  • Register for and attend the selected event
  • Actively participate in discussions, take notes, and engage with speakers and attendees
Connect with Data Privacy Professionals
Expand your professional network and gain valuable insights by connecting with experienced data privacy professionals.
Browse courses on Networking
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  • Identify data privacy professionals through online platforms, industry events, and referrals
  • Reach out and schedule informational interviews or mentorship sessions
  • Prepare questions to gain insights into their career paths, industry trends, and best practices
Four other activities
Expand to see all activities and additional details
Show all seven activities
Organize a Study Group for Data Privacy Discussions
Engage with fellow students and delve deeper into data privacy concepts by organizing and participating in study group discussions.
Browse courses on Collaborative Learning
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  • Identify a group of interested students and agree on a regular meeting time
  • Select topics for discussion and prepare relevant materials
  • Facilitate discussions, encourage active participation, and share insights among group members
Practice Data Mapping Exercises
Sharpen your data mapping skills by completing exercises that simulate real-world data privacy scenarios.
Browse courses on Data mapping
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  • Review data mapping principles and techniques
  • Identify and classify the different types of data being handled
  • Create a data map that accurately represents the flow of data
Participate in Data Privacy Case Study Competition
Test your data privacy knowledge and skills by participating in a competition where you analyze real-world case studies and propose solutions.
Browse courses on Case Study Analysis
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  • Research and understand the specific data privacy issue presented in the case study
  • Analyze the case study and identify potential legal and ethical implications
  • Develop a comprehensive solution that addresses the identified privacy concerns
  • Craft a compelling presentation that showcases your understanding of the issue and your proposed solution
Develop a Data Privacy Policy for a Hypothetical Organization
Apply your knowledge of data privacy principles by drafting a comprehensive policy for a hypothetical organization.
Show steps
  • Identify and research the relevant data privacy regulations and industry best practices
  • Determine the types of data collected, processed, and stored by the hypothetical organization
  • Specify clear guidelines for data collection, use, disclosure, and retention
  • Define measures to protect data from unauthorized access, use, or disclosure
  • Outline procedures for handling data subject requests and responding to data breaches

Career center

Learners who complete IBM Data Privacy for Information Architecture will develop knowledge and skills that may be useful to these careers:
Data Privacy Analyst
Data Privacy Analysts are responsible for ensuring that their organizations handle personal data in accordance with relevant laws and regulations. They identify and assess data privacy risks, develop and implement data privacy policies and procedures, and conduct data privacy audits and assessments. This course provides a foundation in data privacy concepts and practices, helping Data Privacy Analysts to stay up-to-date with the latest developments in data privacy law and technology.
Data Protection Officer
Data Protection Officers are responsible for overseeing and managing an organization's data protection program. They develop and implement data protection policies and procedures, conduct data protection audits and assessments, and train employees on data protection awareness. This course provides a comprehensive overview of data privacy and protection practices, helping Data Protection Officers to effectively manage their organizations' data protection programs.
Privacy Consultant
Privacy Consultants help organizations to develop and implement data privacy policies and procedures. They assess data privacy risks, conduct data privacy audits, and provide training on data privacy awareness. This course provides a solid foundation in data privacy concepts and practices, helping Privacy Consultants to provide effective advice to their clients.
Data Privacy Manager
Data Privacy Managers are responsible for managing an organization's data privacy program. They develop and implement data privacy policies and procedures, conduct data privacy audits and assessments, and train employees on data privacy awareness. This course provides a comprehensive overview of data privacy and protection practices, helping Data Privacy Managers to effectively manage their organizations' data privacy programs.
Information Security Analyst
Information Security Analysts are responsible for protecting an organization's information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. They develop and implement security policies and procedures, conduct security audits and assessments, and train employees on security awareness. This course provides a foundation in data privacy concepts and practices, helping Information Security Analysts to understand the importance of data privacy and how to protect personal data.
Data Governance Analyst
Data Governance Analysts are responsible for developing and implementing data governance policies and procedures. They work to ensure that data is managed in a consistent and compliant manner, and that data is used effectively to support business objectives. This course provides a foundation in data governance concepts and practices, helping Data Governance Analysts to understand the importance of data privacy and how to protect personal data.
Data Architect
Data Architects are responsible for designing and implementing data management solutions. They work to ensure that data is stored, processed, and accessed in a secure and efficient manner. This course provides a foundation in data privacy concepts and practices, helping Data Architects to understand the importance of data privacy and how to protect personal data.
Compliance Analyst
Compliance Analysts are responsible for ensuring that an organization complies with all applicable laws and regulations. They work to identify and assess compliance risks, develop and implement compliance policies and procedures, and conduct compliance audits and assessments. This course provides a foundation in data privacy concepts and practices, helping Compliance Analysts to understand the importance of data privacy and how to protect personal data.
Risk Analyst
Risk Analysts are responsible for assessing and mitigating risks to an organization. They work to identify and assess risks, develop and implement risk management plans, and conduct risk assessments. This course provides a foundation in data privacy concepts and practices, helping Risk Analysts to understand the importance of data privacy and how to protect personal data.
Auditor
Auditors are responsible for examining and evaluating an organization's financial and operational activities. They work to ensure that an organization is operating in a compliant and efficient manner. This course provides a foundation in data privacy concepts and practices, helping Auditors to understand the importance of data privacy and how to protect personal data.
Lawyer
Lawyers advise clients on legal matters and represent them in legal proceedings. They work to ensure that their clients understand and comply with all applicable laws and regulations. This course provides a foundation in data privacy concepts and practices, helping Lawyers to understand the importance of data privacy and how to protect personal data.
Public Policy Analyst
Public Policy Analysts research and analyze public policy issues. They work to develop and recommend public policy solutions. This course provides a foundation in data privacy concepts and practices, helping Public Policy Analysts to understand the importance of data privacy and how to protect personal data.
Journalist
Journalists research and write news stories. They work to inform the public about important issues. This course provides a foundation in data privacy concepts and practices, helping Journalists to understand the importance of data privacy and how to protect personal data.
Teacher
Teachers educate students at all levels. They work to help students learn and grow. This course provides a foundation in data privacy concepts and practices, helping Teachers to understand the importance of data privacy and how to protect personal data.
Researcher
Researchers conduct research to advance knowledge in a particular field. They work to develop new theories, products, and services. This course provides a foundation in data privacy concepts and practices, helping Researchers to understand the importance of data privacy and how to protect personal data.

Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in IBM Data Privacy for Information Architecture.
Provides a critical analysis of the legal and policy frameworks for data protection, making it essential reading for anyone interested in the future of privacy regulation.
Provides a comprehensive overview of the different perspectives on privacy and the public, making it essential reading for anyone interested in the public policy implications of data privacy.
Provides practical guidance on how to implement and manage a data protection program, making it essential reading for anyone responsible for data privacy compliance.
This handbook provides a practical guide to data privacy law and compliance. It covers a wide range of topics, including data collection, data use, data storage, and data security.
Provides a comprehensive overview of the right to privacy. It covers a wide range of topics, including the history of the right to privacy, the different types of privacy, and the challenges to privacy in the modern world.
Provides a philosophical analysis of privacy. It covers a wide range of topics, including the nature of privacy, the value of privacy, and the challenges to privacy in the modern world.
Provides a comprehensive overview of the rise of surveillance capitalism. It covers a wide range of topics, including the history of surveillance capitalism, the different types of surveillance that are used, the risks and benefits of surveillance, and the challenges to privacy in the modern world.
Provides a thought-provoking exploration of the future of privacy in the digital age, making it essential reading for anyone interested in the long-term implications of data privacy.
Provides a thought-provoking exploration of the right to privacy, making it essential reading for anyone interested in the philosophical foundations of data privacy.
Provides a concise and thought-provoking introduction to the philosophical issues surrounding privacy, making it an excellent starting point for anyone interested in this topic.

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