IIBA Endorsed Certified Data Analyst
- Frame a business problem as testable research questions with defined success measures.
- Identify, assess and document data sources, including quality, lineage and access constraints.
- Select and apply descriptive, diagnostic and basic predictive techniques to answer the research questions.
- Interpret results, quantify uncertainty and present them in a form that stakeholders can act on.
- Recommend decisions based on analysis and plan how their impact will be measured.
- Assess the organisation's analytics capability and propose improvements to governance and skills.
- Business Data Analytics in Context
- Relationship with business analysis and data science
- Analytics lifecycle and roles
- BABOK Guide connections
- Identifying Research Questions
- Problem framing and stakeholder needs
- Hypotheses and success measures
- Scoping analytics initiatives
- Sourcing and Preparing Data
- Data source identification and assessment
- Data quality and lineage
- Preparation and transformation
- Analysing Data
- Descriptive and diagnostic techniques
- Introductory predictive models
- Validating analytical results
- Interpreting and Reporting Results
- Interpreting findings against the questions
- Visualisation and data storytelling
- Communicating uncertainty and limitations
- Influencing Decisions and Analytics Strategy
- Turning insights into recommendations
- Measuring decision impact
- Analytics governance, culture and capability
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Program Professional Framework
IIBA Endorsed Certified Data Analyst
Program Overview
Business data analytics sits between business analysis and data science: it starts with a well-framed business question and ends with results that change a decision. This programme follows that lifecycle as described in IIBA guidance: identifying research questions, sourcing and preparing data, analysing it with suitable statistical techniques, interpreting and reporting results, and using them to influence decisions, together with the organisational strategy that sustains analytics. Case work draws on banking, government services and energy settings in the Gulf.
Learning Outcomes
- ✓Frame a business problem as testable research questions with defined success measures.
- ✓Identify, assess and document data sources, including quality, lineage and access constraints.
- ✓Select and apply descriptive, diagnostic and basic predictive techniques to answer the research questions.
- ✓Interpret results, quantify uncertainty and present them in a form that stakeholders can act on.
- ✓Recommend decisions based on analysis and plan how their impact will be measured.
- ✓Assess the organisation's analytics capability and propose improvements to governance and skills.
Target Audience
- Business analysts expanding into data analytics
- Data analysts working closely with business stakeholders
- Product owners and process improvement specialists
- Analytics team leads
Detailed Program Modules
01Business Data Analytics in Context
- Relationship with business analysis and data science
- Analytics lifecycle and roles
- BABOK Guide connections
02Identifying Research Questions
- Problem framing and stakeholder needs
- Hypotheses and success measures
- Scoping analytics initiatives
03Sourcing and Preparing Data
- Data source identification and assessment
- Data quality and lineage
- Preparation and transformation
04Analysing Data
- Descriptive and diagnostic techniques
- Introductory predictive models
- Validating analytical results
05Interpreting and Reporting Results
- Interpreting findings against the questions
- Visualisation and data storytelling
- Communicating uncertainty and limitations
06Influencing Decisions and Analytics Strategy
- Turning insights into recommendations
- Measuring decision impact
- Analytics governance, culture and capability
Training Methodology
Applied Project & Assessment
Applied Project
Participants carry out a complete business data analytics cycle on a provided case: research questions, data source assessment, analysis, an interpretation report and a decision recommendation with an impact measurement plan.
Assessment
Short diagnostic at the start, practical tasks linked to each learning outcome, and evaluation of the applied project against published criteria.


