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Privacy Law and Data Protection

What does it take to comply with privacy laws? In this course, we’ll look at the practical aspects of navigating the complex landscape of privacy requirements. Better understanding privacy laws and data protection will enable you to protect your organization and the constituents that depend on your organization to safeguard their personal information. First, we will examine the historical context that drove the creation of laws, best practices, and other standards for protecting personal information. We will also consider where in the U.S. privacy laws exist and which sectors remain unregulated. Next, we will focus on the federal health privacy law, the Health Insurance Portability and Accountability Act of 1996 (HIPAA) – and what it takes to comply with it. How do you know the scope of the requirements? And once you know HIPAA applies, how do you actually put measures in place to ensure compliance? We’ll explore the notion that one cannot have privacy without strong security and examine various models that promote the security of personal information. We’ll look closely at breach notification laws – one of the most significant drivers of change in organizations – and discuss strategies for the improvement of data protection overall. Lastly, we will look at international law, state law, the unique and important role of the Federal Trade Commission in protecting privacy. Most importantly, we get practical – we will discuss real-world, practical approaches to how compliance professionals can navigate the complex landscape of privacy requirements to best protect their organizations. Provide methods for protecting privacy using the Fair Information Principles Identify the laws and regulations that pertain to data protection Identify the privacy obligations that can apply to complex organizations Identify strategies for managing compliance issues related to privacy laws and data protection

Created by University of Pennsylvania


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What you’ll learn


From this educational opportunity you may improve the compentencies demanded from employers these days. The most relevant technique in the educational opportunity that is frequently included by organizations is Data Modeling.

Who will benefit?


Contrasting the description from this learning opportunity with nearly 10,000 data-related job descriptions, we find that those interested in Data Scientist roles would benefit the most.