Business Data & Privacy

Data Ethics and Privacy

A practical guide to responsible data use, privacy protection, and ethical decision-making in modern organizations

Data Ethics and Privacy logo
Quick Course Facts
17
Self-paced, Online, Lessons
17
Videos and/or Narrated Presentations
5.6
Approximate Hours of Course Media
About the Data Ethics and Privacy Course

Data Ethics and Privacy is a practical guide to responsible data use, privacy protection, and ethical decision-making in modern organizations. Designed for professionals working in Business, this course helps you understand how to handle data with care while supporting trust, compliance, and better decision-making.

Build Responsible Data Practices For Business

  • Learn the foundations of responsible data use and why Data Ethics and Privacy matters in modern Business
  • Understand privacy concepts, consent, transparency, and data minimization in real-world settings
  • Identify ethical risks in analytics, AI, and automated decisions before they create harm
  • Apply practical frameworks for governance, vendor risk, breach response, and privacy impact assessments

A practical guide to responsible data use, privacy protection, and ethical decision-making in modern organizations.

This course walks you through the core ideas and everyday practices that shape ethical data handling. You will start with the foundations of why responsible data use matters, then move into privacy principles, user consent, and transparency so you can make informed choices that respect individuals and strengthen organizational trust.

As you progress, you will explore how to collect only what is necessary, protect data through storage and access controls, and evaluate risks related to bias, fairness, and discrimination. The course also covers analytics, experimentation, AI and machine learning, helping you apply Data Ethics and Privacy principles to the technologies that increasingly influence Business outcomes.

You will gain a clear understanding of major privacy laws and global frameworks, along with essential governance practices for managing third-party sharing, cross-border transfers, and incident communication. By the end, you will know how to create privacy impact assessments and build a culture of accountability that supports ethical decision-making across your organization.

After completing this course, you will be better equipped to handle data responsibly, reduce privacy and compliance risks, and contribute to a more trustworthy Business environment. You will leave with practical skills and a stronger ethical mindset that can shape how your organization uses data every day.

Course Lessons

Full lesson breakdown

Lessons are organized by topic area and each includes descriptive copy for search visibility and student clarity.

Foundations of responsible data use

1 lesson

This lesson explains why data ethics matters in modern organizations, even when a use case is legal or technically feasible. Learners will see how data decisions can affect trust, fairness, safety, an…

What privacy means in practice

1 lesson

Lesson 2: Privacy Concepts and Core Principles

20 min
This lesson introduces privacy as a practical business and design issue, not just a legal requirement. Learners will distinguish privacy from security, understand why privacy matters to individuals an…

Respecting user understanding and choice

1 lesson

Lesson 3: Consent, Notice, and Transparency

18 min
Consent, notice, and transparency are the practical tools that help people understand how their data is collected, used, shared, and protected. In this lesson, learners see why consent must be informe…

Gathering only what is necessary

1 lesson

Lesson 4: Data Collection and Minimization

18 min
This lesson explains the privacy principle of data minimization : collecting only the data you truly need, for a clear purpose, for a limited time. Learners will see how unnecessary collection creates…

Protecting information after collection

1 lesson

Lesson 5: Data Storage, Security, and Access Controls

20 min
This lesson focuses on how organizations protect data after it has been collected . You will learn the practical differences between storage security, access controls, and data handling policies, and …

Ethical risks in data-driven decisions

1 lesson

Lesson 6: Bias, Fairness, and Discrimination

22 min
This lesson explains how bias , unfair outcomes , and discrimination risks can emerge in data-driven systems even when no one intends harm. Students learn the most common sources of bias in datasets, …

Using data to learn without causing harm

1 lesson

Lesson 7: Ethics in Analytics and Experimentation

18 min
This lesson explains how to use analytics and experimentation responsibly. Learners will see how common data-driven practices, such as A/B tests, dashboards, and model evaluation, can create harm when…

Regulatory concepts every practitioner should know

1 lesson

Lesson 8: Privacy Law Basics

22 min
This lesson introduces the regulatory basics that shape how organizations collect, use, share, and protect personal data. You will learn the practical difference between laws, regulations, guidance, a…

Comparing major legal frameworks

1 lesson

Lesson 9: GDPR, CCPA, and Global Privacy Trends

22 min
This lesson compares the three privacy frameworks organizations encounter most often: GDPR , CCPA/CPRA , and emerging global laws influenced by both. You will see how they differ in legal scope, consu…

Building internal responsibility structures

1 lesson

Lesson 10: Data Governance and Accountability

20 min
This lesson explains how organizations create data governance structures that make privacy and ethics operational, not just aspirational. Learners will see how responsibility is assigned across teams,…

Managing privacy and fairness in automated systems

1 lesson

Lesson 11: Ethical Issues in AI and Machine Learning

22 min
AI and machine learning can improve speed, scale, and consistency, but they also create new ethical risks when data is collected, labeled, trained, and used in decisions. In this lesson, Professor Joh…

Controlling privacy obligations across partners

1 lesson

Lesson 12: Third-Party Sharing and Vendor Risk

18 min
Third-party sharing is one of the fastest ways privacy obligations become unclear. This lesson explains how to evaluate vendors, set data-sharing limits, and keep responsibility visible when another o…

Limits of privacy-preserving techniques

1 lesson

Lesson 13: De-Identification, Anonymization, and Re-Identification Risk

20 min
This lesson explains why de-identification and anonymization reduce privacy risk but do not eliminate it. Learners will see how quasi-identifiers, linkage attacks, and weak controls can make people re…

Moving data across jurisdictions responsibly

1 lesson

Lesson 14: Cross-Border Data Transfers

18 min
Cross-border data transfers are a routine part of modern business, but they create real legal, operational, and ethical risk. This lesson explains why location matters, how different jurisdictions can…

What to do when privacy fails

1 lesson

Lesson 15: Breach Response and Incident Communication

20 min
When a privacy incident happens, speed and discipline matter more than perfection. This lesson shows how to recognize a breach, contain it, preserve evidence, communicate clearly, and coordinate the r…

A practical framework for evaluating risk

1 lesson

Lesson 16: Creating a Privacy Impact Assessment

22 min
In this lesson, you will learn how to build a practical Privacy Impact Assessment (PIA) for a new project, product, or process. A PIA helps teams identify what personal data is being used, why it is n…

Turning principles into everyday practice

1 lesson

Lesson 17: Building a Culture of Trust

18 min
Building a culture of trust means making ethical data use visible, repeatable, and part of everyday work—not just a policy on paper. In this lesson, learners see how leaders and teams can turn privacy…
About Your Instructor
Professor John Ingram

Professor John Ingram

Professor John Ingram guides this AI-built Virversity course with a clear, practical teaching style.