What is the Certified Big Data and Analytics Professional?

The Certified Big Data and Analytics Professional is a globally recognised professional certification by the Global Leadership Institute (GLI), designed to equip professionals with advanced competencies in Information Technology.

How long does this certification take?

The programme takes 11 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 Advanced 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 Big Data and Analytics Professional (CBIG)

Executive Summary

Certified Big Data and Analytics Professional

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

This 11 Weeks 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 CBIG 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 Big Data and Analytics Professional

Acronym

CBIG

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

✦Big Data Architecture

✦Data Lake Architecture

✦Stream Data Processing

✦Large-Scale Data Quality

✦Big Data Security

✦Real-Time Analytics

Course Curriculum

Programme Modules

The full programme, module by module.

Core CurriculumModules 1–20 · specific to Certified Big Data and Analytics Professional · module 20 is the capstone

1

Big Data Ecosystem Foundations

Data warehousing and data lakes · Project data, reporting and analytics · Data analytics and visualisation · Data-driven decision support and analytics

2

Big Data Architecture

Data literacy and analytics for leaders · Data, analytics and AI strategy · People analytics tooling and dashboards · People analytics maturity and operating model

3

Distributed Data Processing

Inclusive, remote and distributed leadership · Feedback and learner analytics · Attrition, engagement and productivity analytics · Diversity and pay-equity analytics

4

Large-Scale Data Storage

Large-scale transformation and agile ways of working · Leading large-scale transformation · Servers, storage and data centres · Digital and data-driven go-to-market

5

Data Lake Architecture

Data quality, analysis and reporting · ETL/ELT and data pipelines · Big data platforms (Spark, Hadoop) · Streaming and real-time data

6

Big Data Ingestion

Data security and confidentiality · Data-driven and platform business models · Data ethics, privacy and protection · Data and information requirements

7

Batch Data Processing

Learning data privacy and ethics · Pollution prevention, monitoring and environmental data · Financial storytelling and data visualisation · Data-driven and real-time finance

8

Stream Data Processing

Data protection and privacy · Data governance and quality · Data privacy compliance in practice · Confidentiality and handling sensitive data

9

Distributed Analytics

Payment messaging, ISO 20022 and data quality · Intelligence-led and data-driven security · Privacy, surveillance and data protection · Protecting data and information assets

10

Big Data Query Technologies

Indicators, warning and prediction · Emerging project technologies · Decision support and insight · Predictive, agile and hybrid approaches

11

Large-Scale Data Quality

Field data collection: tools, enumerators and data quality at source · Data engineering: models, pipelines and the quality problem · Dashboards and visualisation · Site reliability engineering (SRE)

12

Big Data Governance

IT governance, compliance and data protection obligations · Records, documents and information governance · Quality, defects and reliability · Governance codes and comply-or-explain: using the code as a tool

13

Scalable Data Modelling

Financial analysis, modelling and valuation · Analytical thinking: decomposition, patterns and mental models · Logic, argument structure and validity · Contact centre operations: forecasting, staffing and quality

14

Big Data Security

Workforce segmentation and critical roles · Jobs to be done and customer insight · Database design, normalisation and query performance · The machine learning lifecycle and MLOps

15

Cloud-Based Big Data

Cloud, infrastructure and the operating decisions behind them · Survey instrument design: question wording, order and the pilot · Time series forecasting: trend, seasonality and the limits of the past · Pipeline and opportunity management

16

Big Data Machine Learning

Supervised and unsupervised learning: what each can and cannot tell you · Cybersecurity hygiene and data protection in daily practice · Forecasting and variance analysis · Forecasting revenue and demand

17

Real-Time Analytics

Real-time and instant payments · Game engines and real-time rendering · Agricultural data analytics · Turning data into farm decisions

18

Big Data Performance Engineering

Pricing research: what the market will actually pay · Marketing analytics and attribution: knowing what actually worked · Warehouse design and layout · Warehouse management systems (WMS)

19

Enterprise Big Data Strategy

Financial data, master data and the chart of accounts · Cybersecurity and financial data protection · Audit evidence, sampling and testing · Financial analysis, modelling and valuation

20

Big Data Analytics Capstone

Predictive safety analytics · Data engineering: models, pipelines and the quality problem · Analytics, machine learning and putting models into use · IT governance, compliance and data protection obligations

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 · Leadership versus management and when each is needed · 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

Big Data Architecture — applied to your own work
Distributed Data Processing — applied to your own work
Large-Scale Data Storage — applied to your own work
Data Lake Architecture — applied to your own work
Big Data Ingestion — applied to your own work
Batch Data Processing — applied to your own work

Enrolment Process

How to Get Certified

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Step 1: Choose Your Certification

You are viewing Certified Big Data and Analytics Professional — one of GLI's 1,990+ globally recognised professional certifications.

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Step 2: Enrol & Pay Online — Instantly

Click Enrol & Study Online to register and pay securely via Paystack, Visa, Mastercard, M-Pesa or bank transfer. Access is granted the moment payment is confirmed.

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Step 3: Study in the GLI Learning Portal

Work through 30 structured modules and 150 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.

🎓 Enrol & Study Online — Instant Access

Secure checkout · Instant LMS access · Globally verifiable certificate

Frequently Asked Questions

Common Questions

What is the CBIG certification?

The Certified Big Data and Analytics Professional (CBIG) is a Advanced-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 CBIG?

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 CBIG certification take to complete?

The programme is structured over 11 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 CBIG 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 CBIG certification?

The Certified Big Data and Analytics Professional 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 CBIG 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 CBIG?

The Certified Big Data and Analytics Professional 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 CBIG?

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

Can I study the CBIG 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 CBIG?

Graduates progress towards senior engineering, architecture and IT leadership roles. The CBIG 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 CBIG while working full-time. The self-paced format made it possible, and the quality of the content is genuinely world-class.

Data Lead

Government

Certified Big Data and Analytics Professional

Certified Big Data and Analytics Professional

Certification at a Glance

Who Should Enrol?

Everything Included in Your Enrolment

Why This Certification Matters for Your Career

Core Competencies You Will Develop

Programme Modules

What You Will Achieve

How to Get Certified

Common Questions

What Our Alumni Say

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