A tailored course, built for your situation
Mastering PCI DSS for Lead Data Scientists in Automotive and Financial Systems
Build defensible, auditor-ready control implementations grounded in real-world transaction systems
$199 one-time
24-hour access provisioning
30-day money-back guarantee
Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Who this is for
Lead Data Scientist operating at the intersection of regulated data systems and advanced analytics, with exposure to payment data and cross-industry compliance demands
Who this is not for
Analysts focused only on reporting, junior data professionals without ownership of control frameworks, or practitioners outside regulated data environments
What you walk away with
- Map PCI DSS requirements directly to data architecture components with confidence
- Produce auditor-ready documentation that traces controls to technical implementation
- Navigate scope boundaries in hybrid environments where payment data intersects with vehicle systems
- Anticipate control gaps in model deployment pipelines involving third-party vendors
- Lead cross-functional reviews with security and compliance teams using shared, precise language
The 12 modules (with all 144 chapters)
Module 1. Understanding PCI DSS Scope in Data-Rich Environments
Establish clear boundaries for compliance based on data flow, storage, and processing points, especially in systems handling both automotive telemetry and financial transactions.
12 chapters in this module
- Defining cardholder data environments
- Identifying in-scope systems and personnel
- Data flow mapping techniques
- Scope reduction strategies
- Hybrid cloud and on-premise considerations
- Telematics data overlap with payment systems
- Third-party service provider boundaries
- Encryption zone delineation
- Tokenization impact on scope
- Logging and monitoring thresholds
- Segmentation control validation
- Common scope missteps and how to avoid them
Module 2. Control Objective Deep Dive: Build and Maintain a Secure Network
Master Requirement 1 and 2 of PCI DSS with technical precision, focusing on firewall rule design and default password management in data infrastructure.
12 chapters in this module
- Firewall configuration best practices
- Rule documentation standards
- Default password policy enforcement
- Secure service account setup
- Network segmentation patterns
- Automated compliance checks
- Configuration drift detection
- Change control integration
- DevOps pipeline safeguards
- Containerized environment risks
- Serverless function exposure
- Audit evidence packaging
Module 3. Protecting Cardholder Data at Rest and in Transit
Implement strong encryption and key management aligned with PCI DSS Requirements 3 and 4 across distributed systems.
12 chapters in this module
- Encryption algorithm selection
- Key lifecycle management
- Hardware security modules
- TLS version enforcement
- Data masking strategies
- Storage encryption verification
- Database tier protection
- API-level encryption
- Edge device security
- Mobile payment token handling
- Encryption logging
- Key rotation automation
Module 4. Vulnerability Management and Patching Strategy
Operationalize Requirement 5 and 6 with regular scanning, patch deployment, and secure coding practices in data science pipelines.
12 chapters in this module
- Antivirus deployment standards
- Malware prevention in analytics platforms
- Vulnerability scanning frequency
- Critical patch timelines
- Secure coding policy integration
- Third-party library risk
- Open source component tracking
- Model dependency checks
- Container image scanning
- CI/CD security gates
- Patch validation workflows
- Reporting to compliance teams
Module 5. Access Control Systems and Least Privilege Design
Enforce Requirement 7 and 8 through granular role-based access and multi-factor authentication in data platforms.
12 chapters in this module
- User access provisioning
- Role definition frameworks
- Least privilege enforcement
- Multi-factor authentication rollout
- Administrative access logging
- Emergency account protocols
- Access review automation
- Privileged session monitoring
- Data scientist access boundaries
- Model deployment permissions
- Audit trail completeness
- Access revocation workflows
Module 6. Logging, Monitoring, and Alerting Infrastructure
Fulfill Requirement 10 with robust logging systems that capture security-relevant events across data pipelines and model services.
12 chapters in this module
- Event logging standards
- Log retention policies
- Centralized log aggregation
- Security event correlation
- Intrusion detection integration
- Automated alert thresholds
- False positive tuning
- Incident response triggers
- Cloud-native logging tools
- Data pipeline monitoring
- Anomaly detection setup
- Log integrity verification
Module 7. Testing and Validation of Security Controls
Implement Requirement 11 with regular penetration testing, vulnerability scans, and internal audits.
12 chapters in this module
- Quarterly scan scheduling
- External scan provider selection
- Internal scan execution
- Penetration testing scope
- Red team coordination
- Remediation tracking
- False positive resolution
- Scan result documentation
- Continuous monitoring concepts
- Automated compliance testing
- DevSecOps integration
- Control validation reporting
Module 8. Policy and Awareness Program Development
Meet Requirement 12 with effective policies, training, and role-specific security awareness.
12 chapters in this module
- Security policy drafting
- Acceptable use policies
- Role-based training content
- Annual training compliance
- Policy dissemination methods
- Policy update cycles
- Third-party compliance assurance
- Vendor risk assessment
- Due diligence documentation
- Compliance metric tracking
- Executive reporting templates
- Audit preparation workflows
Module 9. Integrating PCI DSS into Data Science Workflows
Align model development, deployment, and monitoring with compliance requirements without sacrificing agility.
12 chapters in this module
- Model input validation
- Data leakage prevention
- Privacy-preserving techniques
- Model explainability for auditors
- Bias detection in regulated contexts
- Compliance-aware feature engineering
- Pipeline monitoring for compliance
- Secure model hosting
- Version control for compliance
- Audit trail for model updates
- Compliance in A/B testing
- Documentation for model reviews
Module 10. Managing Third-Party and Vendor Risk
Apply PCI DSS Appendix A and D to vendor relationships and cloud service providers.
12 chapters in this module
- Vendor risk assessment framework
- Service provider compliance
- Contractual obligations
- Attestation of compliance review
- Subservice provider oversight
- Cloud provider responsibility matrices
- Data residency considerations
- Audit rights negotiation
- Vendor incident response planning
- Compliance validation frequency
- Vendor exit strategies
- Due diligence checklists
Module 11. Preparing for Internal and External Audits
Assemble evidence and coordinate with assessors to streamline the audit process.
12 chapters in this module
- Audit preparation timeline
- Evidence collection templates
- Internal readiness checks
- QA process for documentation
- Auditor communication strategy
- Response to findings
- Remediation planning
- Executive briefing preparation
- Compliance reporting
- Follow-up timelines
- Audit trail completeness
- Lessons learned integration
Module 12. Sustaining Compliance Through Organizational Change
Ensure that compliance endures leadership transitions, system migrations, and new business initiatives.
12 chapters in this module
- Compliance knowledge transfer
- Onboarding for new staff
- Change management integration
- System migration planning
- New product compliance gates
- Board-level reporting structure
- Budgeting for compliance
- Technology refresh considerations
- Regulatory change tracking
- Continuous improvement cycle
- Lessons from past audits
- Future-proofing strategies
How this maps to your situation
- When preparing for PCI DSS audit in automotive data systems
- When integrating payment data into existing analytics platforms
- When responding to auditor questions about control boundaries
- When onboarding third-party vendors handling transaction data
Before vs. after
Before
Uncertain about how deeply to engage with PCI DSS requirements in hybrid data environments, especially where automotive and financial systems intersect.
After
Confidently lead PCI DSS implementation, producing clear, auditor-ready evidence and shaping control design across data infrastructure.
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 3 hours per module, designed to be completed over 6, 8 weeks with real-world application between modules.
How this compares to the alternatives
Unlike generic compliance overviews, this course is built for data scientists in regulated industries who need to implement controls with technical precision, not just understand them conceptually.
Frequently asked
Is this course suitable for someone without a security background?
Yes. It's designed for data practitioners in regulated environments who need to implement PCI DSS controls confidently, regardless of formal security training.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help me pass a PCI DSS audit?
Yes. The course teaches you how to build and document controls that meet auditor expectations, with templates and examples from real-world implementations.
$199 one-time. Approximately 3 hours per module, designed to be completed over 6, 8 weeks with real-world application between modules..
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.
30-day money-back guarantee·
144 chapters·
Hand-built playbook included·
Account access within 24 hours