Privacy & Data Protection: A Practical Beginner's Guide

In this lecture, I walk you through the six case studies we’ll be analyzing. You’ll get a high-level view of how simple actions—clicking “add to calendar,” joining a meeting from home, sharing a postal code, playing an online game, or downloading an app—can result in excessive data collection or loss of control over your personal information.

We explain what you’ll learn in each scenario and how these examples connect to real privacy obligations and best practices.

In this case study, we show how video conferencing apps collect far more information than they truly need. Using a real Zoom sign-up example, we explain how your date of birth, calendar, contacts, and other sensitive data become exposed under the guise of “security verification” or convenience features.

We highlight what constitutes excessive data collection, the real risks behind unclear permissions, and practical steps you can take to reduce unnecessary access to your digital life.

Here, we examine the unintended privacy risks of working from home. Using the viral “dad with kids taped to the floor” example, we explain how video platforms capture more than just your voice—they also record your surroundings, family members, and private home details.

We explore how these recordings may be used for analytics without your knowledge, the risks this poses to children and household privacy, and how to create a safer work-from-home setup.

In this scenario, we break down the common checkout request: “What’s your postal code?” We explain why postal codes and email addresses count as personal information under privacy laws, how retail systems force data collection even when it’s unnecessary, and how psychological tactics are used to pressure customers into saying “yes.”

You’ll learn the real reasons retailers want this information and how to refuse respectfully while protecting your privacy.

This case study explores online contests, quizzes, and “fun” social media games that secretly harvest sensitive personal information. We explain how these forms are designed to gather details such as salary, health history, family background, and answers to security questions—far beyond what’s needed for a prize entry.

You’ll see how this information is sold to third-party brokers and why your data is often worth more than the reward being offered.

Here, we show how a simple “add to calendar” button can lead to full access to your schedule, contacts, and personal patterns. We break down how apps obtain read, write, delete, and share permissions without explaining why they need them.

You’ll learn why this is excessive, how these permissions enable detailed profiling, and how to maintain control by limiting access or manually adding events.

In this lecture, we examine Apple’s “Privacy Nutrition Labels” and what they reveal about app data collection. I walk through how a popular social media app collects precise location, financial information, browsing history, and even the contact details of people who never agreed to share their information.

You’ll see how cross-platform tracking and behavioural profiling work—and how to evaluate apps before downloading them.

In this AI-narrated summary, we bring together all the lessons from the six case studies. You’ll revisit how convenience features, retail tactics, “free” services, and app permissions contribute to privacy risks. We connect each example to simple protective strategies, helping you create an everyday privacy mindset.

You’ll leave this section understanding how small choices can make a major difference in protecting your personal information.

Here we introduce the concept of privacy in clear, everyday terms. We explain that privacy is fundamentally about controlling how your personal information is collected, used, and shared.

You’ll learn how privacy is defined across different jurisdictions, why privacy is not the same as secrecy or security, and what rights individuals have. We also highlight real consequences of privacy loss—from identity theft to discrimination—based on examples earlier in the course.

This AI-narrated summary reinforces the core message: privacy equals control. We revisit the key definitions, distinctions between privacy and related concepts, and the real-world examples you’ve already seen—such as video conferencing access and retail data collection.

The lecture ties together the practical and legal aspects of privacy and prepares you for understanding personal information in more detail.

In this lecture, we define personal information and explain how broad it really is under privacy laws. Using recognized models, we show how personal information can appear in communications, behaviours, biometrics, associations, employment data, health data, and more.

We also explain why certain details—like postal codes, calendars, and family status—are protected and why organizations must limit how this information is used.

This AI-narrated summary pulls together everything we’ve covered about personal information. We revisit its legal definitions, the different types of data that qualify, and the risks of losing control of it.

You’ll see how personal information appears in everyday situations—from apps to memberships to online sign-ups—and why privacy laws restrict how organizations may collect and use it.

In this lecture, we explain the purpose of privacy laws and how they empower you to control your personal information. We outline global privacy models—including the EU’s rights-based approach, Canada’s consent-based system, and the United States’ sector-specific regulations.

You’ll learn how these differences shape your rights, how personal data is protected across borders, and why privacy laws form the backbone of digital trust.

Here, we walk through what organizations are legally required to do when handling your personal information. We explain lawful bases for data collection, privacy-by-design principles, impact assessments, transparency obligations, breach reporting rules, and international data transfer requirements.

You’ll also see real examples of enforcement actions and how privacy compliance benefits both organizations and individuals.

In this lecture, you’ll explore why data has become both one of the most valuable assets and one of the biggest risks facing modern organizations. We’ll walk through the full data lifecycle—from creation to deletion—and show how privacy and security responsibilities apply at every stage.

You’ll also learn the real cost of data breaches, how regulations like GDPR and CCPA continue to reshape compliance expectations, and why effective data governance starts with people, not technology. By the end of this lecture, you’ll understand how strong governance frameworks help organizations reduce risk, protect trust, and prepare for the future of data privacy.

The General Data Protection Regulation (GDPR) is the world's toughest privacy and security law. Although it was drafted and passed by the European Union (EU), it imposes obligations on organizations anywhere, so long as they target or collect data about people in the EU.

In this explainer lecture, we will go through the 7 Principles of GDPR and your rights.

The European Union is setting the global standard for AI governance—and its impact reaches far beyond Europe. In this lecture, you’ll get a clear, practical introduction to the EU’s AI Regulation and why it matters for project leaders, product owners, data professionals, and organizations using AI-enabled tools.

Rather than legal theory, this session focuses on real-world implications: how AI systems are classified by risk, what obligations apply to high-risk use cases, and how transparency, accountability, and human oversight are becoming non-negotiable expectations.

You’ll learn how this regulation intersects with privacy, data protection, and ethical AI—and what questions leaders should be asking now to avoid compliance surprises later. By the end of this lecture, you’ll be better equipped to engage with AI initiatives confidently, responsibly, and with regulatory awareness built in from the start.

This explainer lecture, narrated by an AI, explains how phishing attacks have evolved with the rise of AI. We cover the explosion of AI-assisted phishing, deepfake fraud, voice cloning, and large-scale credential theft.

You’ll learn why traditional awareness training struggles against AI-driven attacks and how modern credential protection tools work. Using real statistics, we show why AI-powered phishing is so effective and what organizations must do to keep up.

In this lecture, I explain what identity theft is, how criminals obtain personal information, and what steps you can take to prevent it. I outline common attack methods such as phishing, malware, data breaches, and social engineering.

You’ll learn a clear, step-by-step plan for detecting identity theft, securing your accounts, protecting your credit, and cleaning up your digital life after an incident.

In this lecture, we examine one of the fastest-growing phishing tactics: callback phishing, also known as Telephone-Oriented Attack Delivery (TOAD). Unlike traditional phishing that relies on malicious links or attachments, callback phishing tricks you into picking up the phone and calling the attacker directly. We explain how these attacks work, why they bypass standard email security tools, and why the shift from screen to phone makes them so dangerously effective.

You'll learn how to recognize the telltale signs of a callback phishing attempt, understand the psychological tactics used to pressure you into calling, and walk away with practical strategies to protect yourself and your organization.

In this lecture, we explain why personal action is essential—even with strong privacy laws in place. We walk through mindset shifts, digital hygiene habits, app and browser settings, and daily choices that strengthen your privacy.

You’ll learn how to minimize your digital footprint, reduce oversharing, and make informed decisions about the services you use.

In this final lecture, we summarize your full privacy journey—from understanding personal information and legal rights to navigating real-world privacy risks and protecting your digital life. We highlight the practical strategies you’ve learned, the broader impact of privacy awareness, and how to keep building strong privacy habits.

You’ll leave the course empowered to make informed choices and confident in your ability to stay in control.