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Data Ethics for
Business Professionals

Welcome to CyberSAFE: Exam CBS410. Regardless of your computer experience, this class will help you become more aware of technologyrelated risks and what you can do to protect yourself and your organization from them. This course will help you to:

Understand both security and compliance needs and requirements.
Recognize and avoid phishing and other social engineering attempts.

Recognize and avoid viruses, ransomware, and other malware.

Help ensure data security on computers, mobile devices, networks, the Internet, and in the cloud.

In this course, you will use discussions, case studies, and the experiences of your instructor and fellow students to explore the hazards and pitfalls of technology and learn how to use that technology safely and securely.

Target Student

This course is designed for business leaders and decision makers, including C-level executives, project and product managers, HR leaders, Marketing and Sales leaders, and technical sales consultants, who have a vested interest in the representation of ethical values in technology solutions. Other individuals who want to know more about data ethics are also candidates for this course. This course is also designed to assist learners in preparing for the CertNexus® DEBIZTM (Exam DEB-110) credential.


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 or Data Science. You can obtain this level of skills and knowledge by taking the following CertNexus courses:

AIBIZTM Artificial Intelligence for Business Professionals
DSBIZTM Data Science for Business Professionals

Our Instructors

All of our instructors are certified and experienced in the certifications they teach.

We hold a view that anyone who instructs others should have at least once walked in their shoes.


James Horne

CEH | CHFI | CFR | Cybersafe | CySA | Pentest+ | Network + | Security+ | A+ |

Course Content

Define Ethics
Define Data
Define Data Ethics
Principles of Data Ethics
The Case for Data Ethics
Identifying Ethical Issues

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

Bias and Discrimination
Case Study: Allegheny Family Screening Tool
Data Surveillance
Safety and Security
Case Study: PredPol

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

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Upcoming Dates

Virtual Classroom

  • 09:00 am - 12:00 pm
  • Live instruction virtual class
  • Courseware + Exam included

Virtual Classroom

TBAst 2023
  • 09:00 am - 12:00 pm
  • Live instruction virtual class
  • Courseware + Exam included

Virtual Classroom

  • 09:00 am - 12:00 pm
  • Live instruction virtual class
  • Courseware + Exam included
multiple users?

Contact us for a personalised and discounted quote for your organisation.