DEB-110
Data Ethics for
Business Professionals
Welcome to CyberSAFE: Exam CBS–410. Regardless of your computer experience, this class will help you become more aware of technology–related 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.
Prerequisites
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.
Instructor
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
TBA-
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
TBA-
09:00 am - 12:00 pm
-
Live instruction virtual class
-
Courseware + Exam included
