25 credits · Self-paced
Professional Data Analytics & Business Intelligence
End-to-end analytics: SQL, Python, dashboards, storytelling with data, and enterprise BI.
A comprehensive, globally benchmarked programme covering the full analytics lifecycle — from data collection and warehousing to advanced BI dashboards, predictive modelling, and executive storytelling. Aligned with CDMP, DAMA-DMBOK, and modern cloud BI standards (Power BI, Tableau, Looker, dbt). Includes a CPD-accredited capstone.
Curriculum
01Foundations of Data Analytics & BI45 min+
Foundations of Data Analytics & BI
Module of "Professional Data Analytics & Business Intelligence" — Phoenix Learning Cloud
Overview
This module gives you a rigorous, globally benchmarked treatment of Foundations of Data Analytics & BI as it applies to Professional Data Analytics & Business Intelligence. Content is aligned to leading international standards and current industry practice (ISO, IEEE, PMBOK, CFA Institute, FATF, NIST, OECD, WHO, IFRS, GDPR, ITIL 4, CEFR and equivalent frameworks where relevant), and structured around Bloom's taxonomy so that you move from understanding to application, analysis and evaluation.
Learning Outcomes
By the end of this module you will be able to:
- Explain the core concepts, terminology and history underpinning Foundations of Data Analytics & BI in the context of Professional Data Analytics & Business Intelligence.
- Apply recognised international frameworks, standards and best practices to real-world problems in this area.
- Analyse case studies drawn from Europe, North America, the Middle East, Africa and Asia-Pacific to identify what works, what fails, and why.
- Design a defensible plan, artefact or decision using the tools, templates and checklists introduced in the module.
- Evaluate your work against ethical, legal, security, sustainability and inclusion criteria.
Topics Covered
- Foundational concepts, vocabulary and historical evolution of Foundations of Data Analytics & BI.
- Global frameworks, regulations and reference architectures relevant to Professional Data Analytics & Business Intelligence.
- Key roles, responsibilities and stakeholder maps.
- Processes, workflows and decision points, illustrated with annotated diagrams.
- Tools, platforms and methods currently used by leading organisations.
- Metrics, KPIs and quality criteria used to measure success.
- Common failure modes, anti-patterns and mitigation strategies.
- Cross-cutting concerns: ethics, security, privacy, accessibility, DEI and sustainability.
- Emerging trends (AI, automation, regulation, geopolitics) and how they reshape practice.
Global Standards & References
- ISO / IEC standards relevant to the topic (e.g. ISO 9001, ISO 27001, ISO 31000, ISO 20000, ISO 14001 as applicable).
- Sector bodies: PMI (PMBOK 7), CFA Institute, ACCA, IIA, FATF, NIST, ENISA, WHO, IFRS Foundation, OECD, UN SDGs, ITIL 4, TOGAF, IEEE, W3C, CEFR.
- Landmark legislation and guidance: GDPR, UK Data Protection Act, HIPAA, SOX, Basel III/IV, MiFID II, EU AI Act, DORA.
- Recognised textbooks, whitepapers and peer-reviewed journals cited in each lesson video.
Activities & Practical Work
- Guided walkthrough of a real-world scenario using a downloadable template.
- Case study analysis with structured questions and a marking rubric.
- Hands-on lab or workshop task producing a portfolio artefact (plan, model, code, policy, or design).
- Peer discussion prompt in the Phoenix community for cross-industry perspectives.
- Reflection journal to convert new knowledge into personal action.
Assessment
- Knowledge check quiz (10 questions, 70% pass mark, unlimited retakes).
- Applied assignment graded against a competency rubric (submit for instructor or peer review).
- Contribution to the module discussion counts toward the participation grade.
- Successful completion contributes credits toward your Phoenix Learning Cloud certificate for Professional Data Analytics & Business Intelligence, which is QR-verifiable and issued upon passing the end-of-course assessment.
Estimated Effort
Approximately 3–5 hours of study, plus 1–2 hours of practical work. All content is available in your chosen platform language and can be resumed at any time from My Learning.
Next Steps
Complete the quiz, submit the applied assignment, and continue to the next module. Struggling with a concept? Ask the built-in AI Tutor or post in the community — instructors respond within one business day.
02Data Sources, Warehousing & Modelling45 min+
Data Sources, Warehousing & Modelling
Module of "Professional Data Analytics & Business Intelligence" — Phoenix Learning Cloud
Overview
This module gives you a rigorous, globally benchmarked treatment of Data Sources, Warehousing & Modelling as it applies to Professional Data Analytics & Business Intelligence. Content is aligned to leading international standards and current industry practice (ISO, IEEE, PMBOK, CFA Institute, FATF, NIST, OECD, WHO, IFRS, GDPR, ITIL 4, CEFR and equivalent frameworks where relevant), and structured around Bloom's taxonomy so that you move from understanding to application, analysis and evaluation.
Learning Outcomes
By the end of this module you will be able to:
- Explain the core concepts, terminology and history underpinning Data Sources, Warehousing & Modelling in the context of Professional Data Analytics & Business Intelligence.
- Apply recognised international frameworks, standards and best practices to real-world problems in this area.
- Analyse case studies drawn from Europe, North America, the Middle East, Africa and Asia-Pacific to identify what works, what fails, and why.
- Design a defensible plan, artefact or decision using the tools, templates and checklists introduced in the module.
- Evaluate your work against ethical, legal, security, sustainability and inclusion criteria.
Topics Covered
- Foundational concepts, vocabulary and historical evolution of Data Sources, Warehousing & Modelling.
- Global frameworks, regulations and reference architectures relevant to Professional Data Analytics & Business Intelligence.
- Key roles, responsibilities and stakeholder maps.
- Processes, workflows and decision points, illustrated with annotated diagrams.
- Tools, platforms and methods currently used by leading organisations.
- Metrics, KPIs and quality criteria used to measure success.
- Common failure modes, anti-patterns and mitigation strategies.
- Cross-cutting concerns: ethics, security, privacy, accessibility, DEI and sustainability.
- Emerging trends (AI, automation, regulation, geopolitics) and how they reshape practice.
Global Standards & References
- ISO / IEC standards relevant to the topic (e.g. ISO 9001, ISO 27001, ISO 31000, ISO 20000, ISO 14001 as applicable).
- Sector bodies: PMI (PMBOK 7), CFA Institute, ACCA, IIA, FATF, NIST, ENISA, WHO, IFRS Foundation, OECD, UN SDGs, ITIL 4, TOGAF, IEEE, W3C, CEFR.
- Landmark legislation and guidance: GDPR, UK Data Protection Act, HIPAA, SOX, Basel III/IV, MiFID II, EU AI Act, DORA.
- Recognised textbooks, whitepapers and peer-reviewed journals cited in each lesson video.
Activities & Practical Work
- Guided walkthrough of a real-world scenario using a downloadable template.
- Case study analysis with structured questions and a marking rubric.
- Hands-on lab or workshop task producing a portfolio artefact (plan, model, code, policy, or design).
- Peer discussion prompt in the Phoenix community for cross-industry perspectives.
- Reflection journal to convert new knowledge into personal action.
Assessment
- Knowledge check quiz (10 questions, 70% pass mark, unlimited retakes).
- Applied assignment graded against a competency rubric (submit for instructor or peer review).
- Contribution to the module discussion counts toward the participation grade.
- Successful completion contributes credits toward your Phoenix Learning Cloud certificate for Professional Data Analytics & Business Intelligence, which is QR-verifiable and issued upon passing the end-of-course assessment.
Estimated Effort
Approximately 3–5 hours of study, plus 1–2 hours of practical work. All content is available in your chosen platform language and can be resumed at any time from My Learning.
Next Steps
Complete the quiz, submit the applied assignment, and continue to the next module. Struggling with a concept? Ask the built-in AI Tutor or post in the community — instructors respond within one business day.
03SQL for Analysts — Beginner to Advanced45 min+
SQL for Analysts — Beginner to Advanced
Module of "Professional Data Analytics & Business Intelligence" — Phoenix Learning Cloud
Overview
This module gives you a rigorous, globally benchmarked treatment of SQL for Analysts — Beginner to Advanced as it applies to Professional Data Analytics & Business Intelligence. Content is aligned to leading international standards and current industry practice (ISO, IEEE, PMBOK, CFA Institute, FATF, NIST, OECD, WHO, IFRS, GDPR, ITIL 4, CEFR and equivalent frameworks where relevant), and structured around Bloom's taxonomy so that you move from understanding to application, analysis and evaluation.
Learning Outcomes
By the end of this module you will be able to:
- Explain the core concepts, terminology and history underpinning SQL for Analysts — Beginner to Advanced in the context of Professional Data Analytics & Business Intelligence.
- Apply recognised international frameworks, standards and best practices to real-world problems in this area.
- Analyse case studies drawn from Europe, North America, the Middle East, Africa and Asia-Pacific to identify what works, what fails, and why.
- Design a defensible plan, artefact or decision using the tools, templates and checklists introduced in the module.
- Evaluate your work against ethical, legal, security, sustainability and inclusion criteria.
Topics Covered
- Foundational concepts, vocabulary and historical evolution of SQL for Analysts — Beginner to Advanced.
- Global frameworks, regulations and reference architectures relevant to Professional Data Analytics & Business Intelligence.
- Key roles, responsibilities and stakeholder maps.
- Processes, workflows and decision points, illustrated with annotated diagrams.
- Tools, platforms and methods currently used by leading organisations.
- Metrics, KPIs and quality criteria used to measure success.
- Common failure modes, anti-patterns and mitigation strategies.
- Cross-cutting concerns: ethics, security, privacy, accessibility, DEI and sustainability.
- Emerging trends (AI, automation, regulation, geopolitics) and how they reshape practice.
Global Standards & References
- ISO / IEC standards relevant to the topic (e.g. ISO 9001, ISO 27001, ISO 31000, ISO 20000, ISO 14001 as applicable).
- Sector bodies: PMI (PMBOK 7), CFA Institute, ACCA, IIA, FATF, NIST, ENISA, WHO, IFRS Foundation, OECD, UN SDGs, ITIL 4, TOGAF, IEEE, W3C, CEFR.
- Landmark legislation and guidance: GDPR, UK Data Protection Act, HIPAA, SOX, Basel III/IV, MiFID II, EU AI Act, DORA.
- Recognised textbooks, whitepapers and peer-reviewed journals cited in each lesson video.
Activities & Practical Work
- Guided walkthrough of a real-world scenario using a downloadable template.
- Case study analysis with structured questions and a marking rubric.
- Hands-on lab or workshop task producing a portfolio artefact (plan, model, code, policy, or design).
- Peer discussion prompt in the Phoenix community for cross-industry perspectives.
- Reflection journal to convert new knowledge into personal action.
Assessment
- Knowledge check quiz (10 questions, 70% pass mark, unlimited retakes).
- Applied assignment graded against a competency rubric (submit for instructor or peer review).
- Contribution to the module discussion counts toward the participation grade.
- Successful completion contributes credits toward your Phoenix Learning Cloud certificate for Professional Data Analytics & Business Intelligence, which is QR-verifiable and issued upon passing the end-of-course assessment.
Estimated Effort
Approximately 3–5 hours of study, plus 1–2 hours of practical work. All content is available in your chosen platform language and can be resumed at any time from My Learning.
Next Steps
Complete the quiz, submit the applied assignment, and continue to the next module. Struggling with a concept? Ask the built-in AI Tutor or post in the community — instructors respond within one business day.
04Python & Pandas for Data Analysis45 min+
Python & Pandas for Data Analysis
Module of "Professional Data Analytics & Business Intelligence" — Phoenix Learning Cloud
Overview
This module gives you a rigorous, globally benchmarked treatment of Python & Pandas for Data Analysis as it applies to Professional Data Analytics & Business Intelligence. Content is aligned to leading international standards and current industry practice (ISO, IEEE, PMBOK, CFA Institute, FATF, NIST, OECD, WHO, IFRS, GDPR, ITIL 4, CEFR and equivalent frameworks where relevant), and structured around Bloom's taxonomy so that you move from understanding to application, analysis and evaluation.
Learning Outcomes
By the end of this module you will be able to:
- Explain the core concepts, terminology and history underpinning Python & Pandas for Data Analysis in the context of Professional Data Analytics & Business Intelligence.
- Apply recognised international frameworks, standards and best practices to real-world problems in this area.
- Analyse case studies drawn from Europe, North America, the Middle East, Africa and Asia-Pacific to identify what works, what fails, and why.
- Design a defensible plan, artefact or decision using the tools, templates and checklists introduced in the module.
- Evaluate your work against ethical, legal, security, sustainability and inclusion criteria.
Topics Covered
- Foundational concepts, vocabulary and historical evolution of Python & Pandas for Data Analysis.
- Global frameworks, regulations and reference architectures relevant to Professional Data Analytics & Business Intelligence.
- Key roles, responsibilities and stakeholder maps.
- Processes, workflows and decision points, illustrated with annotated diagrams.
- Tools, platforms and methods currently used by leading organisations.
- Metrics, KPIs and quality criteria used to measure success.
- Common failure modes, anti-patterns and mitigation strategies.
- Cross-cutting concerns: ethics, security, privacy, accessibility, DEI and sustainability.
- Emerging trends (AI, automation, regulation, geopolitics) and how they reshape practice.
Global Standards & References
- ISO / IEC standards relevant to the topic (e.g. ISO 9001, ISO 27001, ISO 31000, ISO 20000, ISO 14001 as applicable).
- Sector bodies: PMI (PMBOK 7), CFA Institute, ACCA, IIA, FATF, NIST, ENISA, WHO, IFRS Foundation, OECD, UN SDGs, ITIL 4, TOGAF, IEEE, W3C, CEFR.
- Landmark legislation and guidance: GDPR, UK Data Protection Act, HIPAA, SOX, Basel III/IV, MiFID II, EU AI Act, DORA.
- Recognised textbooks, whitepapers and peer-reviewed journals cited in each lesson video.
Activities & Practical Work
- Guided walkthrough of a real-world scenario using a downloadable template.
- Case study analysis with structured questions and a marking rubric.
- Hands-on lab or workshop task producing a portfolio artefact (plan, model, code, policy, or design).
- Peer discussion prompt in the Phoenix community for cross-industry perspectives.
- Reflection journal to convert new knowledge into personal action.
Assessment
- Knowledge check quiz (10 questions, 70% pass mark, unlimited retakes).
- Applied assignment graded against a competency rubric (submit for instructor or peer review).
- Contribution to the module discussion counts toward the participation grade.
- Successful completion contributes credits toward your Phoenix Learning Cloud certificate for Professional Data Analytics & Business Intelligence, which is QR-verifiable and issued upon passing the end-of-course assessment.
Estimated Effort
Approximately 3–5 hours of study, plus 1–2 hours of practical work. All content is available in your chosen platform language and can be resumed at any time from My Learning.
Next Steps
Complete the quiz, submit the applied assignment, and continue to the next module. Struggling with a concept? Ask the built-in AI Tutor or post in the community — instructors respond within one business day.
05Data Cleaning, Quality & Governance45 min+
Data Cleaning, Quality & Governance
Module of "Professional Data Analytics & Business Intelligence" — Phoenix Learning Cloud
Overview
This module gives you a rigorous, globally benchmarked treatment of Data Cleaning, Quality & Governance as it applies to Professional Data Analytics & Business Intelligence. Content is aligned to leading international standards and current industry practice (ISO, IEEE, PMBOK, CFA Institute, FATF, NIST, OECD, WHO, IFRS, GDPR, ITIL 4, CEFR and equivalent frameworks where relevant), and structured around Bloom's taxonomy so that you move from understanding to application, analysis and evaluation.
Learning Outcomes
By the end of this module you will be able to:
- Explain the core concepts, terminology and history underpinning Data Cleaning, Quality & Governance in the context of Professional Data Analytics & Business Intelligence.
- Apply recognised international frameworks, standards and best practices to real-world problems in this area.
- Analyse case studies drawn from Europe, North America, the Middle East, Africa and Asia-Pacific to identify what works, what fails, and why.
- Design a defensible plan, artefact or decision using the tools, templates and checklists introduced in the module.
- Evaluate your work against ethical, legal, security, sustainability and inclusion criteria.
Topics Covered
- Foundational concepts, vocabulary and historical evolution of Data Cleaning, Quality & Governance.
- Global frameworks, regulations and reference architectures relevant to Professional Data Analytics & Business Intelligence.
- Key roles, responsibilities and stakeholder maps.
- Processes, workflows and decision points, illustrated with annotated diagrams.
- Tools, platforms and methods currently used by leading organisations.
- Metrics, KPIs and quality criteria used to measure success.
- Common failure modes, anti-patterns and mitigation strategies.
- Cross-cutting concerns: ethics, security, privacy, accessibility, DEI and sustainability.
- Emerging trends (AI, automation, regulation, geopolitics) and how they reshape practice.
Global Standards & References
- ISO / IEC standards relevant to the topic (e.g. ISO 9001, ISO 27001, ISO 31000, ISO 20000, ISO 14001 as applicable).
- Sector bodies: PMI (PMBOK 7), CFA Institute, ACCA, IIA, FATF, NIST, ENISA, WHO, IFRS Foundation, OECD, UN SDGs, ITIL 4, TOGAF, IEEE, W3C, CEFR.
- Landmark legislation and guidance: GDPR, UK Data Protection Act, HIPAA, SOX, Basel III/IV, MiFID II, EU AI Act, DORA.
- Recognised textbooks, whitepapers and peer-reviewed journals cited in each lesson video.
Activities & Practical Work
- Guided walkthrough of a real-world scenario using a downloadable template.
- Case study analysis with structured questions and a marking rubric.
- Hands-on lab or workshop task producing a portfolio artefact (plan, model, code, policy, or design).
- Peer discussion prompt in the Phoenix community for cross-industry perspectives.
- Reflection journal to convert new knowledge into personal action.
Assessment
- Knowledge check quiz (10 questions, 70% pass mark, unlimited retakes).
- Applied assignment graded against a competency rubric (submit for instructor or peer review).
- Contribution to the module discussion counts toward the participation grade.
- Successful completion contributes credits toward your Phoenix Learning Cloud certificate for Professional Data Analytics & Business Intelligence, which is QR-verifiable and issued upon passing the end-of-course assessment.
Estimated Effort
Approximately 3–5 hours of study, plus 1–2 hours of practical work. All content is available in your chosen platform language and can be resumed at any time from My Learning.
Next Steps
Complete the quiz, submit the applied assignment, and continue to the next module. Struggling with a concept? Ask the built-in AI Tutor or post in the community — instructors respond within one business day.
06Statistics & Analytical Reasoning45 min+
Statistics & Analytical Reasoning
Module of "Professional Data Analytics & Business Intelligence" — Phoenix Learning Cloud
Overview
This module gives you a rigorous, globally benchmarked treatment of Statistics & Analytical Reasoning as it applies to Professional Data Analytics & Business Intelligence. Content is aligned to leading international standards and current industry practice (ISO, IEEE, PMBOK, CFA Institute, FATF, NIST, OECD, WHO, IFRS, GDPR, ITIL 4, CEFR and equivalent frameworks where relevant), and structured around Bloom's taxonomy so that you move from understanding to application, analysis and evaluation.
Learning Outcomes
By the end of this module you will be able to:
- Explain the core concepts, terminology and history underpinning Statistics & Analytical Reasoning in the context of Professional Data Analytics & Business Intelligence.
- Apply recognised international frameworks, standards and best practices to real-world problems in this area.
- Analyse case studies drawn from Europe, North America, the Middle East, Africa and Asia-Pacific to identify what works, what fails, and why.
- Design a defensible plan, artefact or decision using the tools, templates and checklists introduced in the module.
- Evaluate your work against ethical, legal, security, sustainability and inclusion criteria.
Topics Covered
- Foundational concepts, vocabulary and historical evolution of Statistics & Analytical Reasoning.
- Global frameworks, regulations and reference architectures relevant to Professional Data Analytics & Business Intelligence.
- Key roles, responsibilities and stakeholder maps.
- Processes, workflows and decision points, illustrated with annotated diagrams.
- Tools, platforms and methods currently used by leading organisations.
- Metrics, KPIs and quality criteria used to measure success.
- Common failure modes, anti-patterns and mitigation strategies.
- Cross-cutting concerns: ethics, security, privacy, accessibility, DEI and sustainability.
- Emerging trends (AI, automation, regulation, geopolitics) and how they reshape practice.
Global Standards & References
- ISO / IEC standards relevant to the topic (e.g. ISO 9001, ISO 27001, ISO 31000, ISO 20000, ISO 14001 as applicable).
- Sector bodies: PMI (PMBOK 7), CFA Institute, ACCA, IIA, FATF, NIST, ENISA, WHO, IFRS Foundation, OECD, UN SDGs, ITIL 4, TOGAF, IEEE, W3C, CEFR.
- Landmark legislation and guidance: GDPR, UK Data Protection Act, HIPAA, SOX, Basel III/IV, MiFID II, EU AI Act, DORA.
- Recognised textbooks, whitepapers and peer-reviewed journals cited in each lesson video.
Activities & Practical Work
- Guided walkthrough of a real-world scenario using a downloadable template.
- Case study analysis with structured questions and a marking rubric.
- Hands-on lab or workshop task producing a portfolio artefact (plan, model, code, policy, or design).
- Peer discussion prompt in the Phoenix community for cross-industry perspectives.
- Reflection journal to convert new knowledge into personal action.
Assessment
- Knowledge check quiz (10 questions, 70% pass mark, unlimited retakes).
- Applied assignment graded against a competency rubric (submit for instructor or peer review).
- Contribution to the module discussion counts toward the participation grade.
- Successful completion contributes credits toward your Phoenix Learning Cloud certificate for Professional Data Analytics & Business Intelligence, which is QR-verifiable and issued upon passing the end-of-course assessment.
Estimated Effort
Approximately 3–5 hours of study, plus 1–2 hours of practical work. All content is available in your chosen platform language and can be resumed at any time from My Learning.
Next Steps
Complete the quiz, submit the applied assignment, and continue to the next module. Struggling with a concept? Ask the built-in AI Tutor or post in the community — instructors respond within one business day.
07Dashboarding with Power BI, Tableau & Looker45 min+
Dashboarding with Power BI, Tableau & Looker
Module of "Professional Data Analytics & Business Intelligence" — Phoenix Learning Cloud
Overview
This module gives you a rigorous, globally benchmarked treatment of Dashboarding with Power BI, Tableau & Looker as it applies to Professional Data Analytics & Business Intelligence. Content is aligned to leading international standards and current industry practice (ISO, IEEE, PMBOK, CFA Institute, FATF, NIST, OECD, WHO, IFRS, GDPR, ITIL 4, CEFR and equivalent frameworks where relevant), and structured around Bloom's taxonomy so that you move from understanding to application, analysis and evaluation.
Learning Outcomes
By the end of this module you will be able to:
- Explain the core concepts, terminology and history underpinning Dashboarding with Power BI, Tableau & Looker in the context of Professional Data Analytics & Business Intelligence.
- Apply recognised international frameworks, standards and best practices to real-world problems in this area.
- Analyse case studies drawn from Europe, North America, the Middle East, Africa and Asia-Pacific to identify what works, what fails, and why.
- Design a defensible plan, artefact or decision using the tools, templates and checklists introduced in the module.
- Evaluate your work against ethical, legal, security, sustainability and inclusion criteria.
Topics Covered
- Foundational concepts, vocabulary and historical evolution of Dashboarding with Power BI, Tableau & Looker.
- Global frameworks, regulations and reference architectures relevant to Professional Data Analytics & Business Intelligence.
- Key roles, responsibilities and stakeholder maps.
- Processes, workflows and decision points, illustrated with annotated diagrams.
- Tools, platforms and methods currently used by leading organisations.
- Metrics, KPIs and quality criteria used to measure success.
- Common failure modes, anti-patterns and mitigation strategies.
- Cross-cutting concerns: ethics, security, privacy, accessibility, DEI and sustainability.
- Emerging trends (AI, automation, regulation, geopolitics) and how they reshape practice.
Global Standards & References
- ISO / IEC standards relevant to the topic (e.g. ISO 9001, ISO 27001, ISO 31000, ISO 20000, ISO 14001 as applicable).
- Sector bodies: PMI (PMBOK 7), CFA Institute, ACCA, IIA, FATF, NIST, ENISA, WHO, IFRS Foundation, OECD, UN SDGs, ITIL 4, TOGAF, IEEE, W3C, CEFR.
- Landmark legislation and guidance: GDPR, UK Data Protection Act, HIPAA, SOX, Basel III/IV, MiFID II, EU AI Act, DORA.
- Recognised textbooks, whitepapers and peer-reviewed journals cited in each lesson video.
Activities & Practical Work
- Guided walkthrough of a real-world scenario using a downloadable template.
- Case study analysis with structured questions and a marking rubric.
- Hands-on lab or workshop task producing a portfolio artefact (plan, model, code, policy, or design).
- Peer discussion prompt in the Phoenix community for cross-industry perspectives.
- Reflection journal to convert new knowledge into personal action.
Assessment
- Knowledge check quiz (10 questions, 70% pass mark, unlimited retakes).
- Applied assignment graded against a competency rubric (submit for instructor or peer review).
- Contribution to the module discussion counts toward the participation grade.
- Successful completion contributes credits toward your Phoenix Learning Cloud certificate for Professional Data Analytics & Business Intelligence, which is QR-verifiable and issued upon passing the end-of-course assessment.
Estimated Effort
Approximately 3–5 hours of study, plus 1–2 hours of practical work. All content is available in your chosen platform language and can be resumed at any time from My Learning.
Next Steps
Complete the quiz, submit the applied assignment, and continue to the next module. Struggling with a concept? Ask the built-in AI Tutor or post in the community — instructors respond within one business day.
08Data Storytelling & Executive Communication45 min+
Data Storytelling & Executive Communication
Module of "Professional Data Analytics & Business Intelligence" — Phoenix Learning Cloud
Overview
This module gives you a rigorous, globally benchmarked treatment of Data Storytelling & Executive Communication as it applies to Professional Data Analytics & Business Intelligence. Content is aligned to leading international standards and current industry practice (ISO, IEEE, PMBOK, CFA Institute, FATF, NIST, OECD, WHO, IFRS, GDPR, ITIL 4, CEFR and equivalent frameworks where relevant), and structured around Bloom's taxonomy so that you move from understanding to application, analysis and evaluation.
Learning Outcomes
By the end of this module you will be able to:
- Explain the core concepts, terminology and history underpinning Data Storytelling & Executive Communication in the context of Professional Data Analytics & Business Intelligence.
- Apply recognised international frameworks, standards and best practices to real-world problems in this area.
- Analyse case studies drawn from Europe, North America, the Middle East, Africa and Asia-Pacific to identify what works, what fails, and why.
- Design a defensible plan, artefact or decision using the tools, templates and checklists introduced in the module.
- Evaluate your work against ethical, legal, security, sustainability and inclusion criteria.
Topics Covered
- Foundational concepts, vocabulary and historical evolution of Data Storytelling & Executive Communication.
- Global frameworks, regulations and reference architectures relevant to Professional Data Analytics & Business Intelligence.
- Key roles, responsibilities and stakeholder maps.
- Processes, workflows and decision points, illustrated with annotated diagrams.
- Tools, platforms and methods currently used by leading organisations.
- Metrics, KPIs and quality criteria used to measure success.
- Common failure modes, anti-patterns and mitigation strategies.
- Cross-cutting concerns: ethics, security, privacy, accessibility, DEI and sustainability.
- Emerging trends (AI, automation, regulation, geopolitics) and how they reshape practice.
Global Standards & References
- ISO / IEC standards relevant to the topic (e.g. ISO 9001, ISO 27001, ISO 31000, ISO 20000, ISO 14001 as applicable).
- Sector bodies: PMI (PMBOK 7), CFA Institute, ACCA, IIA, FATF, NIST, ENISA, WHO, IFRS Foundation, OECD, UN SDGs, ITIL 4, TOGAF, IEEE, W3C, CEFR.
- Landmark legislation and guidance: GDPR, UK Data Protection Act, HIPAA, SOX, Basel III/IV, MiFID II, EU AI Act, DORA.
- Recognised textbooks, whitepapers and peer-reviewed journals cited in each lesson video.
Activities & Practical Work
- Guided walkthrough of a real-world scenario using a downloadable template.
- Case study analysis with structured questions and a marking rubric.
- Hands-on lab or workshop task producing a portfolio artefact (plan, model, code, policy, or design).
- Peer discussion prompt in the Phoenix community for cross-industry perspectives.
- Reflection journal to convert new knowledge into personal action.
Assessment
- Knowledge check quiz (10 questions, 70% pass mark, unlimited retakes).
- Applied assignment graded against a competency rubric (submit for instructor or peer review).
- Contribution to the module discussion counts toward the participation grade.
- Successful completion contributes credits toward your Phoenix Learning Cloud certificate for Professional Data Analytics & Business Intelligence, which is QR-verifiable and issued upon passing the end-of-course assessment.
Estimated Effort
Approximately 3–5 hours of study, plus 1–2 hours of practical work. All content is available in your chosen platform language and can be resumed at any time from My Learning.
Next Steps
Complete the quiz, submit the applied assignment, and continue to the next module. Struggling with a concept? Ask the built-in AI Tutor or post in the community — instructors respond within one business day.
09Predictive Analytics & Intro to ML45 min+
Predictive Analytics & Intro to ML
Module of "Professional Data Analytics & Business Intelligence" — Phoenix Learning Cloud
Overview
This module gives you a rigorous, globally benchmarked treatment of Predictive Analytics & Intro to ML as it applies to Professional Data Analytics & Business Intelligence. Content is aligned to leading international standards and current industry practice (ISO, IEEE, PMBOK, CFA Institute, FATF, NIST, OECD, WHO, IFRS, GDPR, ITIL 4, CEFR and equivalent frameworks where relevant), and structured around Bloom's taxonomy so that you move from understanding to application, analysis and evaluation.
Learning Outcomes
By the end of this module you will be able to:
- Explain the core concepts, terminology and history underpinning Predictive Analytics & Intro to ML in the context of Professional Data Analytics & Business Intelligence.
- Apply recognised international frameworks, standards and best practices to real-world problems in this area.
- Analyse case studies drawn from Europe, North America, the Middle East, Africa and Asia-Pacific to identify what works, what fails, and why.
- Design a defensible plan, artefact or decision using the tools, templates and checklists introduced in the module.
- Evaluate your work against ethical, legal, security, sustainability and inclusion criteria.
Topics Covered
- Foundational concepts, vocabulary and historical evolution of Predictive Analytics & Intro to ML.
- Global frameworks, regulations and reference architectures relevant to Professional Data Analytics & Business Intelligence.
- Key roles, responsibilities and stakeholder maps.
- Processes, workflows and decision points, illustrated with annotated diagrams.
- Tools, platforms and methods currently used by leading organisations.
- Metrics, KPIs and quality criteria used to measure success.
- Common failure modes, anti-patterns and mitigation strategies.
- Cross-cutting concerns: ethics, security, privacy, accessibility, DEI and sustainability.
- Emerging trends (AI, automation, regulation, geopolitics) and how they reshape practice.
Global Standards & References
- ISO / IEC standards relevant to the topic (e.g. ISO 9001, ISO 27001, ISO 31000, ISO 20000, ISO 14001 as applicable).
- Sector bodies: PMI (PMBOK 7), CFA Institute, ACCA, IIA, FATF, NIST, ENISA, WHO, IFRS Foundation, OECD, UN SDGs, ITIL 4, TOGAF, IEEE, W3C, CEFR.
- Landmark legislation and guidance: GDPR, UK Data Protection Act, HIPAA, SOX, Basel III/IV, MiFID II, EU AI Act, DORA.
- Recognised textbooks, whitepapers and peer-reviewed journals cited in each lesson video.
Activities & Practical Work
- Guided walkthrough of a real-world scenario using a downloadable template.
- Case study analysis with structured questions and a marking rubric.
- Hands-on lab or workshop task producing a portfolio artefact (plan, model, code, policy, or design).
- Peer discussion prompt in the Phoenix community for cross-industry perspectives.
- Reflection journal to convert new knowledge into personal action.
Assessment
- Knowledge check quiz (10 questions, 70% pass mark, unlimited retakes).
- Applied assignment graded against a competency rubric (submit for instructor or peer review).
- Contribution to the module discussion counts toward the participation grade.
- Successful completion contributes credits toward your Phoenix Learning Cloud certificate for Professional Data Analytics & Business Intelligence, which is QR-verifiable and issued upon passing the end-of-course assessment.
Estimated Effort
Approximately 3–5 hours of study, plus 1–2 hours of practical work. All content is available in your chosen platform language and can be resumed at any time from My Learning.
Next Steps
Complete the quiz, submit the applied assignment, and continue to the next module. Struggling with a concept? Ask the built-in AI Tutor or post in the community — instructors respond within one business day.
10CPD Capstone: End-to-End BI Project45 min+
CPD Capstone: End-to-End BI Project
Module of "Professional Data Analytics & Business Intelligence" — Phoenix Learning Cloud
Overview
This module gives you a rigorous, globally benchmarked treatment of CPD Capstone: End-to-End BI Project as it applies to Professional Data Analytics & Business Intelligence. Content is aligned to leading international standards and current industry practice (ISO, IEEE, PMBOK, CFA Institute, FATF, NIST, OECD, WHO, IFRS, GDPR, ITIL 4, CEFR and equivalent frameworks where relevant), and structured around Bloom's taxonomy so that you move from understanding to application, analysis and evaluation.
Learning Outcomes
By the end of this module you will be able to:
- Explain the core concepts, terminology and history underpinning CPD Capstone: End-to-End BI Project in the context of Professional Data Analytics & Business Intelligence.
- Apply recognised international frameworks, standards and best practices to real-world problems in this area.
- Analyse case studies drawn from Europe, North America, the Middle East, Africa and Asia-Pacific to identify what works, what fails, and why.
- Design a defensible plan, artefact or decision using the tools, templates and checklists introduced in the module.
- Evaluate your work against ethical, legal, security, sustainability and inclusion criteria.
Topics Covered
- Foundational concepts, vocabulary and historical evolution of CPD Capstone: End-to-End BI Project.
- Global frameworks, regulations and reference architectures relevant to Professional Data Analytics & Business Intelligence.
- Key roles, responsibilities and stakeholder maps.
- Processes, workflows and decision points, illustrated with annotated diagrams.
- Tools, platforms and methods currently used by leading organisations.
- Metrics, KPIs and quality criteria used to measure success.
- Common failure modes, anti-patterns and mitigation strategies.
- Cross-cutting concerns: ethics, security, privacy, accessibility, DEI and sustainability.
- Emerging trends (AI, automation, regulation, geopolitics) and how they reshape practice.
Global Standards & References
- ISO / IEC standards relevant to the topic (e.g. ISO 9001, ISO 27001, ISO 31000, ISO 20000, ISO 14001 as applicable).
- Sector bodies: PMI (PMBOK 7), CFA Institute, ACCA, IIA, FATF, NIST, ENISA, WHO, IFRS Foundation, OECD, UN SDGs, ITIL 4, TOGAF, IEEE, W3C, CEFR.
- Landmark legislation and guidance: GDPR, UK Data Protection Act, HIPAA, SOX, Basel III/IV, MiFID II, EU AI Act, DORA.
- Recognised textbooks, whitepapers and peer-reviewed journals cited in each lesson video.
Activities & Practical Work
- Guided walkthrough of a real-world scenario using a downloadable template.
- Case study analysis with structured questions and a marking rubric.
- Hands-on lab or workshop task producing a portfolio artefact (plan, model, code, policy, or design).
- Peer discussion prompt in the Phoenix community for cross-industry perspectives.
- Reflection journal to convert new knowledge into personal action.
Assessment
- Knowledge check quiz (10 questions, 70% pass mark, unlimited retakes).
- Applied assignment graded against a competency rubric (submit for instructor or peer review).
- Contribution to the module discussion counts toward the participation grade.
- Successful completion contributes credits toward your Phoenix Learning Cloud certificate for Professional Data Analytics & Business Intelligence, which is QR-verifiable and issued upon passing the end-of-course assessment.
Estimated Effort
Approximately 3–5 hours of study, plus 1–2 hours of practical work. All content is available in your chosen platform language and can be resumed at any time from My Learning.
Next Steps
Complete the quiz, submit the applied assignment, and continue to the next module. Struggling with a concept? Ask the built-in AI Tutor or post in the community — instructors respond within one business day.