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💻 Information Technology  ·  Intermediate

Certified Data Scientist

Online Certification  ·  8 Week  ·  Globally Recognised  ·  (CDS)

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

Certified Data Scientist

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

This 8 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 CDS 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 Scientist
Acronym
CDS
Category
Information Technology
Level
Intermediate
Duration
8 Week
Delivery Mode
100% Online
Assessment
Online Examination
Certificate
Digital + Physical
CPD Eligibility
CPD Accredited
Alumni Benefits
GLI Network Access
Self-Paced
USD 349
Live Virtual
USD 549
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
Leadership Capability
Develop the strategic and operational skills to lead complex information technology functions
Organisational Impact
Design and implement information technology systems that drive performance and measurable results
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

✦Statistical Computing
✦Probability for Data Science
✦Classification Models
✦Machine Learning Algorithms
✦Predictive Analytics
✦Data Science Pipelines
Course Curriculum

Programme Modules

The full programme, module by module.

Core CurriculumModules 1–20 · specific to Certified Data Scientist · module 20 is the capstone
1
Data Science Foundations
Data pipelines and data engineering · Data warehousing and data lakes · Field data collection: tools, enumerators and data quality at source · Software design patterns and quality
2
Statistical Computing
Data quality and governance · Digital and data-driven go-to-market · Customer data and CRM · Data-driven growth
3
Data Wrangling
Data quality, analysis and reporting · Data-driven decision support and analytics · ETL/ELT and data pipelines · Big data platforms (Spark, Hadoop)
4
Exploratory Data Analysis
Data gathering and financial analysis · Detection, red-flag analysis and forensic data analytics · Project data, performance analysis and delivery intelligence · Requirements and analysis
5
Probability for Data Science
Data ethics, privacy and protection · Data and information requirements · Data structures and algorithms · Software development lifecycle (SDLC)
6
Statistical Modelling
Financial analysis, modelling and valuation · Instructional method: explanation, modelling and guided practice · Databases: modelling, querying and performance · Employee data and privacy: what HR may hold, use and disclose
7
Regression Analysis
Building trust through data governance · Data protection and privacy · Data analytics for assurance · Data governance and quality
8
Classification Models
L&D operating models and governance · Instructional design models: ADDIE, agile alternatives and when each fits · Deploying and operating models in production · Data-informed and evidence-based decisions
9
Clustering Techniques
Privacy, surveillance and data protection · Protecting data and information assets · Insider threat and data loss prevention · Data protection in surveillance
10
Feature Engineering
Feature engineering: turning raw data into what the model can learn from · Feature engineering and selection · Version control and collaborative development · Testing, QA and test automation
11
Machine Learning Algorithms
Supervised and unsupervised learning: what each can and cannot tell you · Machine learning: training, evaluation and generalisation · Learning cultures and the learning organisation · The machine learning lifecycle and MLOps
12
Model Training
Academic and training administration · Technical and compliance training · Sales and customer-service training · Language and communication training
13
Model Evaluation
Model evaluation: the right metric, the honest split and the base rate · Evaluation design: attribution, comparison and honest claims · Documentation and maintainability · Application and network security
14
Predictive Analytics
Choosing an approach: predictive, iterative or hybrid · AI and predictive project analytics · Predictive analytics and forecasting · Predictive and prescriptive analytics
15
Data Visualisation
Virtual classrooms and webinars · Social and collaborative learning · Accessibility and universal design · Motivation and self-directed learning
16
Python for Data Science
Aligning learning to performance · Leading the learning function · Onboarding and induction design · Apprenticeships and work-based learning
17
Data Science Pipelines
Data engineering: models, pipelines and the quality problem · Content development and storyboarding: from design to build · Accessible and inclusive learning design · Managing learning projects: scope, stakeholders and the launch
18
Model Deployment
Model deployment and monitoring: from notebook to production · Guard force deployment and patrols · Continuous integration, delivery and deployment · Security as a business enabler
19
Data Science Ethics and Governance
IT governance, compliance and data protection obligations · Security governance: policy, accountability and board reporting · Emerging cyber-physical threats · Governance codes and comply-or-explain: using the code as a tool
20
Data Science Capstone
Capstone scoping: a real technology problem · Capstone scoping: a real security challenge · Control rooms and command centres · Physical security testing and assurance
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 Scientist 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 1: Choose Your Certification
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Step 2: Enrol & Pay Online — Instantly
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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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Step 4: Pass, Get Certified & Verified
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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Secure checkout · Instant LMS access · Globally verifiable certificate
Frequently Asked Questions

Common Questions

What is the CDS certification?

The Certified Data Scientist (CDS) is a Intermediate-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 CDS?

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 CDS certification take to complete?

The programme is structured over 8 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 CDS 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 CDS certification?

The Certified Data Scientist is offered in two formats: Self-Paced at USD 349 and Live Virtual at USD 549. Corporate group rates are available for organisations enrolling 5 or more participants. Contact GLI for a bespoke corporate training quotation.

What does the CDS 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 CDS?

The Certified Data Scientist 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 CDS?

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

Can I study the CDS 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 CDS?

Graduates progress towards senior engineering, architecture and IT leadership roles. The CDS 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 CDS 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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