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💻 Information Technology  ·  Executive

Certified Data Science for Marketing Expert

Online Certification  ·  12 Week  ·  Globally Recognised  ·  (CDSC)

✅ 2026 Edition 🎓 CPD Accredited 🌍 100+ Countries 📜 Digital + Physical Certificate 100% Online
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Executive Summary

Certified Data Science for Marketing Expert

Designed for today’s high-impact professionals, the Certified Data Science for Marketing Expert (CDSC) delivers a rigorous Executive-level curriculum that equips participants with the knowledge, tools and frameworks needed to excel in information technology, software, data and digital systems.

This 12 Week programme is structured around ITIL, ISO/IEC and recognised technology and cybersecurity standards, ensuring every graduate applies internationally validated methods to real-world challenges.

GLI’s CDSC holders are recognised by leading organisations across Africa, the Gulf, Europe and the Americas as qualified, results-driven professionals. Whether you are advancing your current career or transitioning into new responsibilities, this certification provides the competitive edge you need in 2026 and beyond.

Programme Overview

Certification at a Glance

Certification
Certified Data Science for Marketing Expert
Acronym
CDSC
Category
Information Technology
Level
Executive
Duration
12 Week
Delivery Mode
100% Online
Assessment
Online Examination
Certificate
Digital + Physical
CPD Eligibility
CPD Accredited
Alumni Benefits
GLI Network Access
Self-Paced
USD 399
Live Virtual
USD 599
Target Audience

Who Should Enrol?

  • IT and Systems Professionals
  • Software Developers and Engineers
  • Data and Analytics Specialists
  • IT Managers and Solution Architects
Programme Inclusions

Everything Included in Your Enrolment

  • All study materials and study guide
  • Access to GLI online learning portal
  • Online examination and assessment
  • Digital certificate and digital badge
  • Physical certificate (shipped to you)
  • CPD credits for professional bodies
  • GLI alumni network membership
  • Facilitator and tutor support
  • Resource downloads and reference library
  • Automatic enrolment confirmation
Certification Benefits

Why This Certification Matters for Your Career

Career Advancement
Accelerate your career towards senior engineering, architecture and IT leadership roles
Professional Recognition
Credential aligned with ITIL, ISO/IEC and recognised technology and cybersecurity standards
Operational Excellence
Apply world-class frameworks to improve performance and outcomes
Strategic Thinking
Develop the analytical and strategic skills demanded at the executive level
Compliance Readiness
Master the standards, compliance and ethical governance central to information technology
Global Employability
Qualify for information technology roles across technology firms, corporates, startups and public institutions worldwide
Competency Framework

Core Competencies You Will Develop

✦Marketing Data Ecosystems
✦Predictive Customer Modelling
✦Customer Lifetime Value Modelling
✦Marketing Mix Analytics
✦Marketing Experimentation
✦AI in Marketing Analytics
Course Curriculum

Programme Modules

The full programme, module by module.

Core CurriculumModules 1–20 · specific to Certified Data Science for Marketing Expert · module 20 is the capstone
1
Marketing Data Science Foundations
Data warehousing and data lakes · Field data collection: tools, enumerators and data quality at source · Digital marketing, content and channel performance · Marketing planning and budgeting
2
Marketing Data Ecosystems
Sustainability and responsible marketing · Marketing and sales KPIs and dashboards · Designing a marketing or sales strategy · Marketing strategy and the mix
3
Customer Data Preparation
CRM systems and customer data · Customer data and CRM · Customer data platforms and segmentation · Data ethics and customer privacy
4
Marketing Segmentation Science
Marketing strategy: segmentation, targeting and positioning · Funnel and lifecycle marketing · CRM and marketing automation platforms · AI and personalisation in marketing
5
Predictive Customer Modelling
Financial analysis, modelling and valuation · Data modelling and database design · AI and predictive project analytics · Predictive analytics and forecasting
6
Campaign Response Prediction
Web and campaign analytics · Web, campaign and funnel analytics · Data literacy and analytics for leaders · Data, analytics and AI strategy
7
Marketing Attribution Analytics
Marketing analytics and attribution: knowing what actually worked · Evaluation design: attribution, comparison and honest claims · Data quality and governance · Digital and data-driven go-to-market
8
Customer Lifetime Value Modelling
Customer lifetime value and profitability · Customer lifetime value · Customer retention, loyalty and lifetime value · The value of customer-centricity
9
Churn and Retention Modelling
Client relationships, accounts and retention · Retention, loyalty and the economics of keeping customers · IT governance, compliance and data protection obligations · Customer success, retention and churn
10
Recommendation Analytics
Data and information requirements · Data structures and algorithms · Communications analytics · Qualitative research: interviews, focus groups and what they can and cannot tell you
11
Marketing Mix Analytics
Pollution prevention, monitoring and environmental data · Financial storytelling and data visualisation · Data-driven and real-time finance · Data ethics and privacy in finance
12
Pricing Analytics
Pricing research: what the market will actually pay · Data governance and quality · Data privacy compliance in practice · Attrition, engagement and productivity analytics
13
Demand Prediction
Demand planning, forecasting and the distortion of signals · Learner analytics and feedback · Research methods for knowledge professionals · Scholarly publishing, peer review and research integrity
14
Marketing Experimentation
Research design: matching the question to the study · Research ethics in practice: consent, harm and the researcher’s obligations · Natural language and text analytics: turning words into evidence · Data quality and the fitness-for-purpose test
15
Conversion Probability Modelling
Qualitative and quantitative risk analysis · Segmentation, targeting and positioning (STP) · Customer personas and insight · Funnel, pipeline and conversion metrics
16
Marketing Data Visualisation
Visualisation tools and design · Turning insight into decisions · Segmentation and personalisation · Predictive and proactive service
17
AI in Marketing Analytics
Spend analysis and segmentation · Pipeline management, forecasting and CRM discipline · Survey design and sampling: asking questions that produce usable answers · Cash forecasting and positioning
18
Marketing Model Evaluation
Model evaluation: the right metric, the honest split and the base rate · Fraud defined: scope, classification and the investigator’s role · Gender as an analytical category, not a synonym for women · Strategic workforce planning and demand forecasting
19
Data-Driven Marketing Strategy
Demand planning and forecasting · Maintenance, testing and reliability · Sampling: who is in the study and who the results describe · Qualitative analysis: coding, themes and the discipline of interpretation
20
Marketing Data Science Capstone
Descriptive statistics for everyday professional decisions · Data visualisation and dashboards that inform · Cybersecurity hygiene and data protection in daily practice · Forecasting and variance analysis
Professional ElectivesModules 21–30 · common to all GLI certifications · broaden your professional range
21
Strategic Communication and Executive Presentation
Vision, purpose and translating direction into work · Audience-centred communication and message structure · Executive leadership: the board interface and enterprise stewardship · Persuasive structure: framing, evidence and the ask
22
Leadership and Team Effectiveness
Leadership identity, style and the limits of style · Leadership assessment, feedback and continuous self-review · What critical reasoning is and what it is not · Situational and adaptive leadership
23
Analytical Thinking and Evidence-Based Reasoning
Creativity and critical-thinking development · Analytical techniques and bias · Evidence-based improvement · Problem framing: symptoms, definition and scope
24
Professional Decision-Making
Managerial decision-making, bias and decision rights · Escalation and decision-making · Decision support: briefs, options and judgement under pressure · Decision frameworks: criteria, weighting and trade-offs
25
Negotiation, Influence and Stakeholder Management
Negotiation preparation: interests, options and the walk-away · Power, followership and organisational politics · Negotiation: preparation, interests and value creation · Concessions, anchoring and the shape of a bargain
26
Project and Execution Management
Proposals, bids and the business case · Project roles and the project manager · Developing the project business case · Planning, scheduling and personal workflow systems
27
Financial Literacy for Professionals
Financial reporting standards and their application · Financial management for the operating manager · Liquidity, funding and balance sheet management · Management accounting: costing, budgeting and decision support
28
Digital Skills, AI and Technology for Professionals
Digital workplace, collaboration and user support · Productivity, collaboration and workflow tools · Tools for interaction and collaboration · Working with data: quality, interpretation and honest presentation
29
Ethics, Governance and Professional Accountability
Ethical leadership: integrity, tolerated behaviour and moral courage · Ethics, conduct and speaking up · Business development risk, ethics and integrity · AI for managers: adoption, oversight and governance
30
Personal Effectiveness, Productivity and Career Growth
Emotional competence: awareness, regulation and expression · Self-awareness, strengths and the accuracy of self-image · Emotional intelligence and self-regulation · Priority: outcomes, importance and the urgency trap

Every module opens in the learning portal with its full lesson set, worked examples, further reading and video masterclasses. 30 modules · 150 lessons.

Learning Outcomes

What You Will Achieve

  • Establish a comprehensive understanding of Certified Data Science for Marketing Expert principles aligned with ITIL, ISO/IEC and recognised technology and cybersecurity standards
  • Apply evidence-based methods to improve information technology, software, data and digital systems
  • Master systems, architecture and infrastructure and software development and application delivery
  • Apply data, analytics and emerging technologies and networks, cloud and platform engineering in real-world settings
  • Lead risk management, quality and compliance relevant to your field
  • Design stakeholder engagement and professional communication strategies
  • Use data-driven decision-making and performance-measurement tools effectively
  • Apply internationally recognised best practice to advance your career in information technology
Enrolment Process

How to Get Certified

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Step 3: Study in the GLI Learning Portal
Work through 15 structured modules and 75 lessons at your own pace, with downloadable resources and expert-designed content — all inside the LMS.
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Sit your final examination online, earn your certificate instantly, and receive a globally verifiable Certificate ID — plus GLI Alumni Network access.
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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 Week 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.

Graduate Voices

What Our Alumni Say

“

The curriculum was directly applicable to my daily work. I immediately applied what I learned and saw results within weeks of completing the programme.

IT Director
Private Sector
“

GLI's certification is the most practical professional programme I have attended. The international frameworks gave me credibility with my employer and clients.

Solutions Architect
NGO Sector
“

I earned my CDSC while working full-time. The self-paced format made it possible, and the quality of the content is genuinely world-class.

Data Lead
Government
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