DEBIZ (Exam DEZ-110): Data Ethics for Business Professionals

Gain insights into ethical data handling, privacy, bias, and responsible AI practices. Enroll now to excel in Data Ethics for Business!

The power of extracting value from data utilizing Artificial Intelligence, Data Science, and Machine Learning exposes the learning differences between humans and machines. Humans can apply ethical principles throughout decision-making to avoid discrimination, societal harm, and marginalization to maintain and even enhance acceptable norms. Machines make decisions autonomously. So how do we apply ethical principles to data-driven technology?


To provide business professionals and consumers of technology core concepts of ethical principles, how they can be applied to emerging data-driven technologies and the impact to an organization that ignores the ethical use of technology.


Below is the course content, which includes a detailed outline of topics and materials covered in the course. Explore and enhance your knowledge!

Introduction to data ethics

  • Define ethics
  • Define data
  • Define data ethics
  • Principles of data ethics
  • The case for data ethics
  • Identifying ethical issues

Ethical principles

  • Ethical frameworks
  • Applying ethical frameworks
  • Privacy, fairness, and safety
  • Applying privacy, fairness, and safety principles
  • Algorithms and human-centered values
  • Discussing true and false positives and negatives
  • Discussing accuracy and precision
  • Discussing correlation and causation
  • Transparency and Explainability: the black box problem

Discussing black box parallels

  • Inclusive growth, sustainable development, and well-being
  • Examining a tech for good organization
  • Improving ethical data practices

Sources of ethical risk

  • Bias and discrimination
  • Case study: Allegheny family screening tool
  • Data Surveillance
  • Safety and Security
  • Case study: PredPol
  • Business considerations
  • Data legislation
  • Manage the effects of data
  • Case study
  • Embed organizational values in the data value chain
  • Building a data ethics culture/code of ethics
  • Stakeholder checklist


To ensure your success in this course, you should have a working knowledge of general business concepts and practices. You should also have a basic understanding of Artificial Intelligence and Data Science. You can obtain this level of skills and knowledge by taking the following CertNexus courses:

  • AIBIZ Artificial Intelligence for Business Professionals
  • DSBIZ Data Science for Business Professionals


  • Batch-wise training
  • Practical hands-on training with real-time examples

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