Business Data Analytics: IIBA-CBDA Exam Prep Course

Name: Mastering Business Data Analytics: (IIBA-CBDA) Exam-Prep Course
Availability: InStock

Develop practical business data analytics competencies to guide stakeholder decisions, interpret data models, and align organizational strategy.

At a glance

Duration: 5 days
Format: Classroom
Cities: Porto, Dubai, London, Phuket, Abu Dhabi, Singapore and more
Next session: 5 – 9 October 2026, Porto
Average fee: 5,750 €

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Mastering Business Data Analytics: (IIBA-CBDA) Exam-Prep Course

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Overview

Organizations rely on business data analytics to translate operational figures and market trends into sound strategic actions. This course addresses the critical intersection where business analysis principles meet analytical investigation, equipping professionals to guide data initiatives from initial problem formulation through to organizational adoption. Participants explore structured techniques to identify business opportunities, frame analytical questions, validate data models, and translate technical findings into persuasive business narratives. This course is delivered by Agile Leaders Training Center.

Who Should Attend

Business analysts leading analytics initiatives and defining analytical requirements.
Project managers directing delivery teams on data-informed projects.
Team leaders overseeing functional units responsible for reporting and business intelligence.
Technical specialists transitioning into analytical consulting and business advisory roles.
Professionals preparing for the IIBA-CBDA certification exam.

Departments and Industries

This course serves analytical, operational, and managerial professionals across multiple functional units and data-intensive commercial sectors.

Information Technology and Systems Management
Marketing Strategy and Customer Experience
Operational Planning and Process Improvement
Finance, Banking, and Investment Services
Healthcare Operations and Clinical Administration

Learning Objectives

By the end of this course, participants will be able to:

Distinguish business data analytics from traditional business analysis and pure data science disciplines.
Formulate structured research questions linked directly to measurable business goals.
Organize data acquisition workflows while maintaining data quality and dictionary standards.
Perform exploratory data analysis to isolate underlying process variations and probability distributions.
Apply data storytelling techniques to present analytical insights clearly to executive sponsors.
Design change management plans that facilitate the adoption of analytical recommendations across operational teams.
Establish organizational analytics capability roadmaps that support strategic talent and data governance goals.

Course Agenda

Day 1: Foundations of Business Data Analytics

Core Principles: Defining business data analytics and its role in business improvement
Lifecycle Framework: The business data analytics cycle from question to execution
Discipline Boundaries: Differentiating business analysis from data science and analytics
Probability Fundamentals: Calculating event likelihood and decision risk in operational contexts
Analytical Technique: Constructing probability trees to evaluate complex business scenarios

Day 2: Research Questions, Sourcing, and Exploratory Analysis

Problem Scoping: Defining research questions and scoping business opportunities
Context Mapping: Stakeholder analysis and business model visualization using canvas tools
Process Investigation: Root cause analysis and business process modeling
Data Acquisition: Data collection planning, normalization, and data dictionary creation
Analytical Technique: Conducting exploratory data analysis to evaluate operational patterns

Day 3: Interpreting Results and Data Storytelling

Result Synthesis: Validating analytical models against baseline business hypotheses
Stakeholder Alignment: Reviewing findings against initial stakeholder expectations
Communication Strategy: Structuring reporting deliverables for technical and executive groups
Analytical Technique: Applying data storytelling techniques to clarify complex analytical results
Case Study Analysis: Evaluating structured narrative reporting in commercial decision-making

Day 4: Influencing Business Decisions and Change

Decision Frameworks: Transforming analytical findings into actionable recommendations
Implementation Planning: Building delivery schedules for data-driven interventions
Organizational Dynamics: Applying change management principles to analytical transitions
Risk Mitigation: Identifying cultural resistance to data-informed operational shifts
Case Study Analysis: Managing organizational change during analytics deployment

Day 5: Organizational Strategy and Analytics Capability

Strategic Alignment: Integrating analytical initiatives into enterprise strategic plans
Human Capital: Defining talent strategy and skills progression for analytics teams
Asset Management: Developing data governance, protection, and utilization guidelines
Capability Scaling: Guiding organizational analytics capability expansion across departments
Action Planning: Formulating individualized preparation and workplace implementation roadmaps

Practical Exercises

Participants complete structured exercises designed to reinforce core analytical techniques and prepare for certification evaluation.

Draft a business problem statement and develop supporting research questions for an operational issue.
Construct a probability tree to quantify decision outcomes under conditions of uncertainty.
Build an exploratory data analysis plan incorporating data normalization and dictionary standards.
Create an executive presentation applying data storytelling techniques to recommend a strategic intervention.

FAQs

How does this course relate to the IIBA-CBDA credential?

The syllabus covers the knowledge domains and competencies tested in the IIBA-CBDA examination, including question formulation, data sourcing, analysis, storytelling, and guiding organizational-level strategy.

Is prior programming experience required?

No programming experience is needed. The curriculum focuses on analytical concepts, business problem framing, statistical reasoning, and data-informed decision-making rather than software coding.

How does business data analytics differ from data science?

Business data analytics centers on identifying business problems, framing relevant research questions, interpreting analytical output, and driving organizational change, whereas data science emphasizes mathematical modeling and technical algorithm development.

Conclusion

Participants return to their organizations prepared to bridge the gap between technical analytics teams and operational leadership. By mastering research definition, exploratory data analysis, data storytelling, and strategic adoption, professionals establish clear frameworks that translate raw data into measurable business outcomes.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 1-20 of 80 events

Location	Dates	Duration	Mode	Price
Porto	Week 41, 2026 5 – 9 October 2026	5 Days	Onsite	€5,700
Dubai	Week 42, 2026 12 – 16 October 2026	5 Days	Onsite	€4,500
London	Week 42, 2026 12 – 16 October 2026	5 Days	Onsite	€5,700
Phuket	Week 42, 2026 18 – 22 October 2026	5 Days	Onsite	€6,000
Abu Dhabi	Week 43, 2026 19 – 23 October 2026	5 Days	Onsite	€4,700
Singapore	Week 45, 2026 2 – 6 November 2026	5 Days	Onsite	€5,700
Langkawi	Week 45, 2026 8 – 12 November 2026	5 Days	Onsite	€6,000
New York	Week 47, 2026 16 – 20 November 2026	5 Days	Onsite	€12,000
Tashkent	Week 47, 2026 22 – 26 November 2026	5 Days	Onsite	€4,500
Toronto	Week 48, 2026 29 November – 3 December 2026	5 Days	Onsite	€12,000
Vienna	Week 49, 2026 30 November – 4 December 2026	5 Days	Onsite	€5,700
London	Week 50, 2026 7 – 11 December 2026	5 Days	Onsite	€5,700
Abu Dhabi	Week 51, 2026 14 – 18 December 2026	5 Days	Onsite	€4,700
Trabzon	Week 51, 2026 20 – 24 December 2026	5 Days	Onsite	€6,800
Kuwait	Week 52, 2026 27 – 31 December 2026	5 Days	Onsite	€5,500
Berlin	Week 53, 2026 28 December 2026 – 1 January 2027	5 Days	Onsite	€5,700
Kuala Lumpur	Week 01, 2027 4 – 8 January 2027	5 Days	Onsite	€5,200
London	Week 02, 2027 11 – 15 January 2027	5 Days	Onsite	€5,700
Montreux	Week 02, 2027 11 – 15 January 2027	5 Days	Onsite	€7,500
Vienna	Week 03, 2027 18 – 22 January 2027	5 Days	Onsite	€5,700

Frequently asked questions

What does this course cover?

OverviewOrganizations rely on business data analytics to translate operational figures and market trends into sound strategic actions. This course addresses the critical intersection where business analysis principles meet analytical investigation, equipping professionals to guide data initiatives from initial problem formulation through to organizational…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Business Data Analytics: IIBA-CBDA Exam Prep Course