In this chapter, you'll learn the foundations of security and privacy, why they are important, and how they are related to one another within data privacy concepts.

Privacy

Preach shopping scenario

Focusing on data privacy

Understanding privacy responsibilities

Security

Breaking down the triad

CIA Triad concept match

Security models three truths and a lie

The relationship between Security and Privacy

Privacy and security incident

Analyzing key themes within Security and Privacy

Privacy Foundations

You will learn about the tools, processes, and frameworks that should be incorporated into a strong privacy strategy. This includes Privacy by Design, the importance of data classification, and the components of data lifecycle management.

Privacy by Design

Options

True

False

Identifying privacy by design

Wishing for personal information

Identifying privacy components

Privacy classification and risk

Data classification exercise

Public- Low Risk

Internal-Medium Risk

Restricted- Very High Risk 

Data risk analysis

De-Identifying data

De-identification differentiators

Anonymization

Pseudonymization

None

Tiffz Backpackz De-identification Exercise

Data lifecycle management

Creation

Archival

Process and Use

DLM alignment

Data Science Process

To be the very best

Every data privacy strategy needs to consider privacy laws! Learn about the different privacy laws that could affect a company and how it uses data, while also understanding how privacy can be applied to bleeding-edge technologies.

Companies and user data

Identifying data collection motives

Location sharing privacy

Databroker risk assessment exercise

Privacy laws - when things go wrong

Privacy laws and penalties

Privacy startup program exercise

Spooky privacy laws

Components of privacy law

Privacy law trends and challenges

Bleeding edge privacy topics

Bleeding edge Venn diagram

Shifting left benefits

Congratulations!

Living on the Edge

What is data privacy, why is it so important, and how does it impact you daily? Answer all these questions and more in this course, introducing you to the basics of data privacy. <br><br>This non-technical course focuses on providing a solid foundation of privacy principles and relating them with other critical concepts within the interconnected data landscape. You’ll start by looking at the relationship between security, privacy, and data and why they matter in the modern world.<br><br>Through hands-on exercises, you’ll learn about the importance of privacy by design and additional privacy topics. Data privacy is essential to everyone. Start leveling up your data privacy skills and uncover a new way to look at the data around you.

<h2>Learn the Basics of  Data Privacy</h2> 
What is data privacy, why is it so important, and how does it impact you daily? Answer all these questions and more in this course, introducing you to the basics of data privacy.<br><br>
<h2>Discover Why Data Privacy Matters</h2> 
This non-technical course focuses on providing a solid foundation of privacy principles and relating them with other critical concepts within the interconnected data landscape. You’ll start by looking at the relationship between security, privacy, and data and why they matter in the modern world.
<br><br>
<h2>Learn Aboud Data Privacy Tools and Processes</h2> 
In chapter 2, you’ll then learn about the tools, processes, and frameworks that should form a strong privacy strategy. As well as Privacy by Design, you’ll explore the importance of data classification, and the components of data lifecycle management.<br><br>
<h2>Explore Data Privacy Laws</h2> 
The final chapter of this course will explore the different privacy laws and how they affect data use in companies. <br><br>Through hands-on exercises, you’ll learn about the importance of privacy by design and additional privacy topics. Data privacy is essential to everyone. Start leveling up your data privacy skills and uncover a new way to look at the data around you.


Gain a clear understanding of data privacy principles and how to implement privacy and security processes. 

De-identification differentiators

Introduction to Data Privacy

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