Introduction to Data Science 2

Data Privacy and Ethics

This certificate, the second in a three-certificate series, examines how personal data is collected, tracked, and used, and the ethical questions that come with it. You will study global privacy concerns, from data breaches to the ways businesses and governments handle sensitive information. The lessons cover who is being tracked, what information is being gathered, and why it is collected. You will also explore concepts such as privacy by design, data integrity, and the balance between personal rights and organizational needs.

The certificate also explains how laws and regulations are evolving around the world to address these challenges. You will learn about major legal frameworks, such as the European Union’s GDPR and emerging protections in other regions, and how they respond to new technologies like artificial intelligence. By the end, you will understand both the ethical and legal sides of data privacy and how these shape decision-making in a connected, data-driven world.

Introduction to Data Science certificates must be taken in sequence.
Introduction to Data Science 2 is the second certificate in the series. You will not be able to access this certificate content until you have successfully completed Introduction to Data Science 1.

What You Need to Know

Advanced Excel skills are recommended for learners in this certificate. The certificate assignments that use Excel are supported with Microsoft tutorials, but your ability to perform the calculations and basic functions in Excel is assumed. Additionally, to ensure success, students should:

• Be comfortable reading and understanding English, as all materials are provided in English.
• Have basic computer skills, including navigating the internet, downloading/uploading files, installing software, and using applications like Microsoft Word.

These foundational skills will help you engage fully with our primarily online certificates.

By the end of the certificate, students will:

• Identify significant issues related to data privacy around the world.
• Discuss the ethics of personal data privacy: who is being tracked, what is being harvested, and why.
• Explain how global legal frameworks are evolving protections as new technologies (such as AI) are introduced.