Training on Data Ethics and Privacy
Master data ethics and privacy. Learn to handle data responsibly, protect sensitive information, and comply with data privacy regulations.
Next intake
20 Jul 2026 · Nakuru
Duration
5 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Intermediate
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
This course delves into the principles and practices of data ethics and privacy, offering a comprehensive understanding of the ethical implications and privacy challenges associated with data collection, processing, and sharing. Participants will explore the legal frameworks, ethical theories, and practical strategies needed to navigate the complexities of data use in various sectors. The course emphasizes the importance of responsible data stewardship, protecting individual rights, and fostering trust in digital environments.
Course Duration
5 Days
Who Should Attend
- Data Analysts, Data Scientists, and Data Engineers
- IT and Information Security Professionals
- Compliance and Legal Professionals
- Privacy Officers and Data Protection Officers
- Business Leaders and Managers involved in data-driven decision-making
- Academic researchers and students interested in data ethics
What you'll walk away with
By the end of this course, participants will be able to:
- Understand the fundamental principles of data ethics and privacy.
- Identify and analyze the ethical implications of data usage and data-driven technologies.
- Apply legal and regulatory frameworks to ensure data privacy compliance.
- Develop strategies for ethical data governance and management.
- Implement best practices for data protection and privacy in various organizational contexts.
What we cover, module by module
Module 1: Introduction to Data Ethics and Privacy
- Overview of data ethics and privacy
- Ethical frameworks and principles
- Historical context of data privacy
- The impact of technology on privacy
- Case Study: Misuse of personal data by a technology company and its societal impact
- Practical: Analyze an ethical dilemma involving data privacy and propose solutions
Module 2: Legal Foundations of Data Protection and Privacy
- Key data protection regulations (e.g., GDPR, CCPA, HIPAA)
- Data subject rights
- Data breaches and notification requirements
- Cross-border data transfer
- Case Study: Handling a data breach in compliance with international regulations
- Practical: Map compliance requirements for a sample organization
Module 3: Ethical Issues in Data Management
- Data collection and consent
- Data quality and integrity
- Algorithmic bias and fairness
- Data sharing and ownership
- Privacy by design and default
- Case Study: Addressing bias in an AI-driven recruitment system
- Practical: Evaluate a dataset for ethical risks and bias
Module 4: Data Security and Privacy
- Data security fundamentals
- Threat modeling and risk assessment
- Data encryption and protection
- Incident response and recovery
- Case Study: Responding to a cybersecurity incident involving sensitive data
- Practical: Develop a basic data security and incident response plan
Module 5: Emerging Trends and Challenges
- Privacy in the age of AI and machine learning
- Data ethics in the workplace
- Ethical considerations in data analytics
- Future trends in data ethics and privacy
- Case Study: Ethical challenges of AI-driven decision-making systems
- Practical: Develop guidelines for ethical data use in an organization
Where the change lands
Organizational Impact
-
Reduces legal and reputational risks through compliant and ethical data practices.
-
Builds customer trust and loyalty by demonstrating responsible data handling.
-
Strengthens long-term viability and competitive advantage.
Personal Impact
-
Develops in-demand skills in data ethics and compliance.
-
Prepares participants for senior leadership, compliance, or data stewardship roles.
-
Empowers individuals to lead and champion data governance initiatives.
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
NakuruNext | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kigali | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Accra | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Johannesburg | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Dakar | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
- NakuruNext
20 Jul → 24 Jul·In-Person
Book this intake - Kigali
20 Jul → 24 Jul·In-Person
Book this intake - Accra
20 Jul → 24 Jul·In-Person
Book this intake - Kisumu
27 Jul → 31 Jul·In-Person
Book this intake - Johannesburg
27 Jul → 31 Jul·In-Person
Book this intake - Dakar
27 Jul → 31 Jul·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
You may also like.
Programmes in the same discipline that participants often pair with this course.
Hybrid5 daysMaster research methods, data analysis, and report writing for the public sector. Gain the skills to conduct rigorous research, analyze data effectively, and communicate findings clearly.
Hybrid5 daysGain practical skills in AI ethics, governance, and regulatory compliance for sustainable innovation.
Hybrid5 daysBuild skills in ethical AI and governance. This course equips professionals to implement AI responsibly while addressing bias, privacy, and accountability.
Course finder
Find the right course for you
Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.
For corporate teams
Training 10+ professionals?
We deliver Training on Data Ethics and Privacy in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.
