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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/ibm-data-privacy
课程评论:没有评论
课程名称:IBM 数据隐私与信息架构 课程概述:数据隐私控制信息的收集、使用、共享和处理,遵循相关政策或外部法律法规。在本课程中,学生将了解数据隐私的概念,识别和理解企业可能面临的典型数据保护和隐私化目标,并选择适合的数据保护方法。学员将获得多种数据隐私机制和实践的背景知识,并学习如何扩展他们的数据保护工具箱。IBM DataFirst 方法将作为讨论的核心。 课程大纲: 第一部分:IBM DataFirst 数据隐私介绍 描述:本周将介绍课程专家,并对数据隐私和IBM DataFirst 方法进行概述。 第二部分:数据治理和组织结构 描述:本周将学习健全的治理结构和执行导向的组织角色对于成功支持数据隐私目标的重要性。 第三部分:应对法规 描述:本周将了解全球对数据隐私权和相关法规日益关注的趋势,及其保护个人数据和敏感数据的意义。 第四部分:数据治理的交叉点 描述:本周将探讨数据治理与数据隐私目标之间的关系。 第五部分:数据隐私与安全 描述:本周将学习数据隐私与数据安全之间的区别,以及二者如何作为同一数据保护目标的互补。 第六部分:数据隐私机制 描述:本周将了解常见的数据隐私技术分类,帮助个人数据转变为“非个人”数据,并回顾如何根据不同数据及使用案例结合使用这些技术以保护个人数据。 第七部分:进行研讨会 描述:本周将学习用于开展以数据隐私为目标的数据优先研讨会的方法。这些材料对任何即将开展数据聚焦项目并具有数据隐私导向目标的组织也将大有裨益。
Part: 1
Title:IBM DataFirst Data Privacy introduction
Description:This week you will meet some of the course experts and receive an introduction to data privacy and the IBM DataFirst method.
Part: 2
Title:Data governance and organizational structures
Description: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.
Part: 3
Title:Dealing with regulation
Description: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.
Part: 4
Title:Data governance intersections
Description:This week you will learn about data governance and its relation to data privacy objectives.
Part: 5
Title:Data privacy vs security
Description: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.
Part: 6
Title:Data privatization mechanisms
Description: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.
Part: 7
Title:Conducting the workshop
Description: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.
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.