What is the Certified Data Science for Marketing Expert?

The Certified Data Science for Marketing Expert is a globally recognised professional certification by the Global Leadership Institute (GLI), designed to equip professionals with advanced competencies in Sales & Marketing.

How long does this certification take?

The programme takes 12 Weeks and can be completed self-paced or with live virtual sessions.

Is this certification globally recognised?

Yes. GLI certifications carry CPD credits and are internationally recognised.

What level is this certification?

This is a Expert / Executive Level certification.

Email info@certifications.ac, WhatsApp +254 722 223 084, or fill in the enrolment form on this page.

What is included in the fee?

All study materials, study guide, examination, digital certificate and badge. Live option adds tutor sessions and priority support.

Certified Data Science for Marketing Expert in South Korea

Course Curriculum

Programme Modules

Click any module to explore the detailed curriculum topics included in this certification.

Foundations and Strategic Context of Certified Data Science for Marketing Expert

Certified Data Science for Marketing Expert: industry context, trends and professional standards
Computing fundamentals and IT concepts
The role of IT in business and value creation
IT operating models and organisation
Hardware, software and systems overview
The technology landscape and trends
IT professional roles and standards
Digital transformation and IT strategy
Ethics, responsibility and digital citizenship
IT service and product mindset
Career pathways and professional development

Deployment and Lifecycle

Requirements and the specification gap
Technical debt and system lifecycle
Cloud, infrastructure and the connectivity constraint
Automation and where it genuinely pays
Preparing financial statements
Scalability, availability and performance
Business continuity and disaster recovery
Digital transformation strategy
Agile and product operating models
Innovation and experimentation culture
Data-driven and platform business models
Managing resistance and upskilling
Assets, liabilities and equity reporting
Scaling technology and teams
Measuring digital transformation impact

What These Systems Can and Cannot Do

Artificial intelligence: capability, limits and responsible use
Correlation, causation and experiment design
Turning analysis into a decision
Vendor and partner management
Reporting and enterprise analytics
Interpreting financial statements
Process optimisation and RPA
System performance and tuning
Upgrades and roadmap management
Reporting quality and governance
Compliance and audit in ERP
Data governance in enterprise systems
Ratio and trend analysis
Measuring ERP value
Management accounts and dashboards

Data Quality Behind a Model

Data quality and the fitness-for-purpose test
Systems integration and the single source of truth
Correlation, causation and experiment design
Budget vs actual and variance
Managing scope and change
Bridging business and technology
Capstone scoping: a real technology problem
Requirements and analysis
Designing a technical solution or system
Risk, security and feasibility analysis
Cost and profitability analysis
Forecasting and planning
KPIs and performance reporting
Data structures and algorithms
Object-oriented and functional design

Causation, Bias and Testing

Correlation, causation and experiment design
Artificial intelligence: capability, limits and responsible use
Turning analysis into a decision
Debugging and problem solving
APIs and service design
Concurrency and performance
Data visualisation for finance
Decision support and insight
Software development lifecycle (SDLC)
Reporting automation
Front-end and back-end development
Communicating financial results
Databases and persistence
Psychodynamic and psychoanalytic approaches
CI/CD and release management

Responsible and Lawful Use

Artificial intelligence: capability, limits and responsible use
Data protection and privacy by design
Cybersecurity fundamentals and the human factor
Data storytelling and communicating findings
Digital ethics and algorithmic accountability
Building digital capability in an organisation
Attachment and developmental theory
LAN, WAN and network design
Professional roles, boundaries and settings
Ethical principles and codes of practice
Managing boundaries and dual relationships
Peer support and consultation
Sustaining ethical, effective practice
Ethical frameworks and codes of practice
Duty of care and risk management

From Model to Decision

Turning analysis into a decision
Artificial intelligence: capability, limits and responsible use
Delivering technology change that people adopt
Data and information requirements
Record-keeping and data protection
Clean code and design patterns
Complaints, accountability and fitness to practise
Legal responsibilities and professional bodies
Client feedback and satisfaction
Evidence-based improvement
Managing risk and difficult cases
DevOps culture and practices
Lessons learned and development
Automated testing strategies
Quality assurance and code review

Security

Driving effective, ethical outcomes
Cyber risk management
Awareness and security culture
Incident and problem management
Risk management and security frameworks
Incident, problem and change management
Cloud and data security
Security by design
Incident response process
Continuous improvement in security
Driving measurable security improvement
Security risk assessment and proportionate response
Security technology selection and operation
Security ethics, use of force and accountability
Claims investigation and fraud indicators

Performance Measurement

Performance and load testing
Measuring IT value and performance
Performance and optimisation
Cost, performance and FinOps
Performance tuning and optimisation
Cost, performance and capacity management
KPIs and metric design
IT KPIs, SLAs and scorecards
System performance and reliability metrics
Contract performance and exit
Security KPIs and metrics
Sales performance and pipeline management
Social performance and outreach
Investment principles and objectives
Performance management systems and cycles

Procurement and Supply

Finance, procurement and supply modules
Third-party and supply-chain risk
Designing and facilitating groups
Psychoeducation and workshops
Procurement and stock management for health commodities
Conflicts of interest and procurement ethics
Procurement and contract value
Procurement and contract management
Supply market analysis
Supply analysis, gaps and scenario planning
Procurement and supply chain: scope and value
Fair trade and responsible supply
Procurement and asset management under donor rules
Water supply systems: sources, treatment and distribution
The procurement cycle and operating models

Workforce

Strategic workforce planning and demand forecasting
Communicating risk to the workforce
Workforce and shift management in retail
Workforce management and scheduling
Workforce planning and scheduling
Employee experience and engagement
Customer and employee satisfaction
Employee engagement models and drivers
The employee lifecycle and HR value chain
Workforce reporting and storytelling with data
Cost of workforce and ROI of HR interventions
Employee and manager self-service
Belonging, culture and employee resource groups
Future of work and workforce transformation
Customer (employee/manager) satisfaction

Ethics and Standards

Ethics and responsible innovation
Professional ethics in technology
Data ethics, privacy and protection
Ethical and responsible technology
Sustainability and responsible marketing
Working with organisations on wellbeing
Designing an intervention or programme
Corporate social responsibility and community impact
Animal welfare standards and ethical husbandry
Ethics and fair customer treatment
Professional ethics in customer service
Ethical decision-making under pressure
Sustainability and climate responsibility
Ethics and responsible leadership
Professional standards and ethics (CIPS)

International Context

Transfer pricing and international tax
Cross-border data and transfers
Cross-cultural and global inclusion
Global and comparative HR contexts
Global sourcing and international trade
International and cross-border tax
Ethical, risk and feasibility considerations
Key global frameworks: FAO, GlobalG.A.P., SDGs and national strategies
Grades, standards and export certification (GlobalG.A.P.)
Global sourcing and trade
Team leadership in technology

Sustainability

Sustainability and green IT
Environmental monitoring and reporting
Continuous environmental improvement
Integration with quality and environment
Environmental, social and governance (ESG)
Sustainability reporting and disclosure
Embedding sustainability in sourcing
Industrial utilities, energy and process safety interfaces
Energy efficiency and demand management
Mine water, tailings and environmental management
Integrated and sustainability reporting
Sustainability and environmental duty
Environmental management systems (ISO 14001)
Environmental legal compliance
The project environment and stakeholders

Learning and Knowledge

Deep learning and neural networks
Supervised and unsupervised learning
Instructional design and blended learning
Knowledge management and capability building
Learning technologies and the LMS
Learning transfer and capability building
Monitoring, evaluation and learning for accountability
Lessons learned and knowledge management
Professional case study and presentation
Complaint data and learning
Instructional design models (ADDIE, SAM)
Learning strategy and business alignment
Learning cultures and the learning organisation
Blended and hybrid learning design
Motivation and self-directed learning

Health and Safety Context

Product safety and standards
Health and safety legal duties
Safety management systems overview (ISO 45001)
Safety culture and leadership
Safety communication and campaigns
Influencing and safety leadership
Wellbeing and holistic health strategy
Confidentiality and health data
Driving measurable safety improvement
Designing a safety programme or control
Job safety analysis (JSA) and task risk
Health, safety and compliance in delivery
Brand safety and responsible marketing
Customer and brand health metrics
Brand health and measurement

Technology Foundations

Cloud data platforms
Systems analysis, design and modelling
Digital accessibility and inclusion
Digital transformation roadmaps
Innovation and technology investment
Emerging-technology evaluation
Vendor selection and managing technology suppliers
Digital user experience and accessibility
Managing technology teams and technical work
Software design patterns and quality
Big data technologies and platforms
Network design, LAN/WAN and topologies
Working with police, regulators and the justice system
Digital tax administration
Bancassurance and digital insurance models

Data and Evidence

Dashboards and data storytelling
Self-service analytics
Predictive and prescriptive analytics
Data products and stakeholder value
Data literacy and adoption
Turning insight into decisions
Servers, storage and data centres
Continuous improvement and DevOps metrics
Metrics, velocity and flow
Master data and configuration
Data and interoperability
ETL, data pipelines and engineering
Data analytics and visualisation
Data privacy and protection
ETL/ELT and data pipelines

Governance and Risk

Project governance and risk
Risk and regulatory considerations
Testing, quality assurance and defect economics
Version control and collaborative development
Governance, risk and compliance
Governance, compliance and standards (ISO 27001)
IT governance frameworks (COBIT)
Enterprise architecture governance
Risk, compliance and audit
Risk-based audit planning
Data analytics in audit
Continuous risk monitoring
Programme governance
Access control, screening and visitor management
Tax administration and compliance

Legal and Regulatory

Smart contracts and dApps
Regulatory awareness (GDPR and beyond)
Vendor, contract and asset management
Regulatory and privacy requirements
The regulatory landscape and central banking
Data ethics and customer privacy
Regulatory duty and accountability
Regulatory compliance and central-bank rules
Data protection and customer privacy
Regulatory reporting and audits
Regulatory liquidity ratios (LCR, NSFR)
Contract law and formation
Contract exit and renewal
Evidence-based practice
Accounting concepts, principles and the regulatory landscape

Delivery and Projects

Agile delivery and iterative development
Continuous improvement in delivery
IT project and portfolio management
Leading IT projects and change
Realising and measuring project value
Capstone scoping: a real project or programme
Designing the project plan and schedule
Delivery, quality and stakeholder plan
Project initiation and chartering
Integrated project planning
Project management plan development
Leading service projects and change
Banking products, services and delivery channels
Leading banking projects and change
Development banking and project finance

Leadership and Decisions

Configuration and asset management
IT financial management and value
Identity and access management
Vulnerability management
Training and change management
IT service management and support operations
IT operations and service management
Patching and change management
DevOps, CI/CD and release management
Innovation management and R&D
IT service management and ITIL
Dairy, poultry, and small-ruminant enterprise management
Data-driven decision support and analytics
Cold chain, packaging and shelf-life management
Quality management systems and audits

Capability and Training

Web and mobile application development
Measuring coaching and mentoring impact
Capability and skills frameworks
Leadership and management development
Coaching models and frameworks (GROW)
Coaching leaders and managers
Organisation development principles and practice
Building a personal HR development plan
Competency framework development
Succession planning and talent pipelines
Talent sourcing channels and pipelines
Measuring development impact
Feedback and developmental conversations
Career and talent development
Building a coaching culture

Change and Adoption

User adoption and change
Risk assessment and safety planning
Managing resistance and engagement
Goal setting and contracting
Managing resistance and capability building
Procurement transformation and operating models
Variations, claims and delay: managing change on site
Change talk and readiness
Habit change and behaviour design
Change control and configuration
Organisational change management
Customer experience transformation
Digital and self-service transformation
Measuring CX transformation impact
Digital transformation in banking

Operations and Service

Service strategy, design and transition
Continual service improvement
ERP concepts and business processes
Natural language processing
Quality, defects and reliability
Process modelling and mapping
Continuous improvement of finance processes
Data quality and stewardship
Cost, quality and cycle-time metrics
Time-to-hire, quality-of-hire and cost metrics
Data quality, integration and master data
Data quality and governance
Cross-functional collaboration with product and service
The business case for productivity, quality and sustainability
Yield, productivity and profitability metrics

Cost and Investment

Roadmapping and investment
Costing methods: absorption, marginal and activity-based
Cost-volume-profit and break-even analysis
Standard costing and variance analysis
Budgeting techniques and the budgeting cycle
Flexible budgets and rolling forecasts
Responsibility accounting and cost centres
Cost reduction and efficiency programmes
Capital budgeting: NPV, IRR and payback
Cost of capital and WACC
Capital structure and financing decisions
Financial inclusion strategy
The role of finance in organisations and value creation
Return on investment and impact
Financial, management and cost accounting distinguished

Stakeholders and Vendors

ERP platforms and vendors
Stakeholder and gap analysis
Stakeholder mapping and business partnering
Presenting and influencing
Negotiation with vendors
Stakeholder engagement strategy
Managing expectations and influence
Building project relationships
Influencer and affiliate marketing
Building strategic customer relationships
Treatment planning and review
Supplier development and innovation
Managing supplier risk
Stakeholder mapping and engagement
Stakeholders, agency and accountability

Communication and Documentation

Business intelligence and reporting
Professional and technical documentation
Cryptography and secure communications
Proposal development and donor reporting
Vehicle documentation, compliance and consumer protection
The media and telecommunications landscape
Managing complexity and comorbidity
Workplace and organisational contexts
Goal setting and action planning
Accountability and follow-through
Wellbeing and resilience coaching
Influencing and presenting insights
Professional and persuasive communication
Transaction monitoring and suspicious reporting
Process and control documentation

Users and Customers

Scaling innovation to production
Managing user and customer expectations
Customer segmentation and needs analysis
Customer journey and experience design
Pay structures, benchmarking and market pricing
Interaction and experience design
Productivity, collaboration and workflow tools
Productivity and efficiency improvement
Buyer behaviour and the customer journey
Voice of the customer and feedback
Supply market analysis and Porter’s forces
Designing a service or experience improvement
Operational efficiency and productivity
Customer experience strategy
Customer journey mapping

Strategic Context

Emerging threats and defensive strategy
IT strategy and business alignment
Business models for new tech
Measuring strategic progress
Turning strategy into results
Category and supplier innovation
Category management and strategy development
Sourcing strategies and portfolio (Kraljic)
Negotiation strategy and planning
Strategic customer relationships
Manufacturing strategies: make-to-stock, make-to-order and batch versus flow
Sustaining strategic customer focus
Innovation and fintech collaboration
Category management and strategy
Competitive bidding processes

Frequently Asked Questions

Common Questions

What is the CDSC certification?

The Certified Data Science for Marketing Expert (CDSC) is a Executive-level professional certification awarded by the Global Leadership Institute (GLI). It is designed to equip professionals in information technology, software, data and digital systems with practical skills, internationally recognised frameworks, and the credentials needed to advance their careers.

Who should enrol in the CDSC?

This certification is ideal for IT and Systems Professionals, Software Developers and Engineers, Data and Analytics Specialists and IT Managers and Solution Architects, and other professionals seeking to formalise their expertise in information technology, software, data and digital systems with a globally recognised credential.

How long does the CDSC certification take to complete?

The programme is structured over 12 Weeks and offers flexible learning modes. Self-paced learners can progress at their own schedule, while live virtual participants follow a structured cohort schedule with facilitator-led sessions.

Is the CDSC internationally recognised?

Yes. GLI certifications are recognised across 100+ countries and are aligned with ITIL, ISO/IEC and recognised technology and cybersecurity standards. Graduates receive a digital certificate, a physical certificate and CPD credits recognised by employers worldwide.

What is the cost of the CDSC certification?

The Certified Data Science for Marketing Expert is offered in two formats: Self-Paced at USD 399 and Live Virtual at USD 599. Corporate group rates are available for organisations enrolling 5 or more participants. Contact GLI for a bespoke corporate training quotation.

What does the CDSC certification include?

Enrolment includes all study materials and study guides, access to GLI's online learning portal, online examination, digital certificate and badge, physical certificate (posted), CPD credits, GLI alumni network membership, and ongoing facilitator support.

What is the assessment format for the CDSC?

The Certified Data Science for Marketing Expert is assessed through an online examination consisting of multiple-choice questions, case study analysis, and practical application assignments. The assessment is designed to evaluate real-world competency, not just theoretical recall.

What CPD credits do I earn from the CDSC?

The Certified Data Science for Marketing Expert carries Continuing Professional Development (CPD) credits, which can be applied towards professional body requirements including recognised international professional associations.

Can I study the CDSC while working full-time?

Absolutely. The self-paced option is designed for busy working professionals and allows you to study when and where it suits you. Live virtual sessions are typically scheduled in the evenings or on weekends to accommodate professional commitments.

What career outcomes can I expect from the CDSC?

Graduates progress towards senior engineering, architecture and IT leadership roles. The CDSC strengthens your expertise in information technology, software, data and digital systems and positions you for advancement across technology firms, corporates, startups and public institutions.

Certified Data Science for Marketing Expert