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Data Security
Training Course on Fundamentals of Data Privacy and Security
Introduction
In today's hyper-connected digital age, data privacy and cybersecurity have become indispensable pillars of trust, governance, and compliance. With the exponential rise in cyber threats, data breaches, and regulatory frameworks such as GDPR, HIPAA, and CCPA, the need to understand the fundamentals of data protection is more critical than ever. Training Course on Fundamentals of Data Privacy and Security offers professionals, businesses, and decision-makers an opportunity to master core data privacy principles, compliance requirements, risk management techniques, and cybersecurity best practices that ensure data integrity, security, and lawful processing.
This instructor-led and self-paced course bridges the knowledge gap between theoretical understanding and practical application of data privacy and security frameworks. Through hands-on case studies, interactive discussions, and real-world examples, participants will gain actionable insights into data governance, encryption standards, threat mitigation, and ethical data handling. This program is ideal for anyone looking to enhance their data literacy and fortify their organizational defense mechanisms.
Programme Curriculum
Training Course on Fundamentals of Data Privacy and Security
Introduction
In today's hyper-connected digital age, data privacy and cybersecurity have become indispensable pillars of trust, governance, and compliance. With the exponential rise in cyber threats, data breaches, and regulatory frameworks such as GDPR, HIPAA, and CCPA, the need to understand the fundamentals of data protection is more critical than ever. Training Course on Fundamentals of Data Privacy and Security offers professionals, businesses, and decision-makers an opportunity to master core data privacy principles, compliance requirements, risk management techniques, and cybersecurity best practices that ensure data integrity, security, and lawful processing.
This instructor-led and self-paced course bridges the knowledge gap between theoretical understanding and practical application of data privacy and security frameworks. Through hands-on case studies, interactive discussions, and real-world examples, participants will gain actionable insights into data governance, encryption standards, threat mitigation, and ethical data handling. This program is ideal for anyone looking to enhance their data literacy and fortify their organizational defense mechanisms.
Course Objectives
Understand the core principles of data privacy and how they impact digital ecosystems.
Identify types of personal data and classify sensitive information under global regulations.
Explore GDPR, HIPAA, CCPA, and other international privacy laws.
Implement cybersecurity protocols to mitigate data breaches and cyberattacks.
Learn risk assessment techniques and perform privacy impact assessments (PIAs).
Apply data encryption methods and understand the role of secure data transmission.
Build a data breach response plan to handle incidents effectively.
Understand the data lifecycle management from collection to deletion.
Integrate privacy by design into system architecture and development.
Define roles and responsibilities of a Data Protection Officer (DPO).
Understand cloud security practices and secure data storage solutions.
Gain hands-on experience with incident reporting tools and forensic audits.
Apply AI and machine learning ethics to privacy-preserving technologies.
Target Audience
IT Managers
Compliance Officers
Cybersecurity Analysts
Legal and Risk Consultants
Small Business Owners
Data Protection Officers (DPOs)
System Architects
Government Officials and Regulators
Course Duration: 5 days
Course Modules
Module 1: Introduction to Data Privacy and Security
Understand definitions: data privacy vs. data security
Overview of data privacy laws and global compliance
Importance of safeguarding personal and sensitive data
Impact of data breaches on organizations and individuals
Key terminologies in the field (PII, encryption, anonymization)
Case Study: Facebook–Cambridge Analytica scandal
Module 2: Privacy Laws and Regulations
GDPR principles and lawful processing
HIPAA and health data protection
California Consumer Privacy Act (CCPA)
Data subject rights and organizational responsibilities
Cross-border data transfer and localization issues
Case Study: Google’s GDPR fine by CNIL
Module 3: Risk Management and Privacy Impact Assessments
Introduction to risk frameworks (ISO 31000, NIST)
How to perform a Privacy Impact Assessment (PIA)
Identifying threats and vulnerabilities
Mitigating legal, financial, and reputational risks
Role of continuous monitoring and compliance reviews
Case Study: Equifax data breach analysis
Module 4: Data Security Techniques and Tools
Encryption standards (AES, RSA, TLS)
Multi-factor authentication and identity management
Network security fundamentals
Secure cloud storage and backup
Endpoint protection and firewalls
Case Study: Capital One’s cloud breach
Module 5: Data Governance and Lifecycle Management
Data classification and inventory
Data retention and destruction policies
Access control and permission settings
Roles of data stewards and custodians
Data portability and interoperability
Case Study: Uber’s data retention controversy
Module 6: Incident Response and Breach Management
Building a breach response plan
Notification obligations under various laws
Digital forensics and root cause analysis
Coordinating with law enforcement and regulators
Post-breach audits and corrective actions
Case Study: Marriott International data breach
Module 7: Privacy by Design and Default
Embedding privacy in system development lifecycle
Conducting Data Protection Impact Assessments (DPIAs)
Minimization of data collection
Integrating privacy settings into UI/UX
Agile and DevSecOps for privacy-centric design
Case Study: Apple’s privacy-focused product design
Module 8: Emerging Technologies and Future of Data Privacy
AI, big data, and ethical challenges
Machine learning and algorithm transparency
Blockchain and decentralized identity management
Biometrics and facial recognition privacy
Future-proofing privacy policies for new tech
Case Study: Clearview AI facial recognition litigation
Training Methodology
Instructor-led live training sessions
Hands-on labs and interactive workshops
Group discussions and peer review
Real-world case studies and problem-solving activities
Quizzes and post-training assessments for certification
Register as a group from 3 participants for a Discount
Upon successful completion of this training, participants will be issued with a globally- recognized certificate.
Tailor-Made Course
We also offer tailor-made courses based on your needs.
Key Notes
a. The participant must be conversant with English.
b. Upon completion of training the participant will be issued with an Authorized Training Certificate
c. Course duration is flexible and the contents can be modified to fit any number of days.
d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.
e. One-year post-training support Consultation and Coaching provided after the course.
f. Payment should be done at least a week before commence of the training, to FINESKILL TRAINING CENTER account, as indicated in the invoice so as to enable us prepare better for you.