25 credits · Self-paced
Football Data Analytics & Performance Analysis
From xG to Power BI dashboards and AI in scouting
A modern football analytics programme covering event and tracking data, KPIs, advanced metrics (xG, xA, PPDA), video analysis, Power BI dashboards, Python and AI for scouting and player performance.
Curriculum
01Module 1 — Introduction to football analytics30 min+
Module 1 — Introduction to football analytics
Module of "Football Data Analytics & Performance Analysis" — Phoenix Learning Cloud
Overview
This module gives you a rigorous, globally benchmarked treatment of Module 1 — Introduction to football analytics as it applies to Football Data Analytics & Performance Analysis. 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 Module 1 — Introduction to football analytics in the context of Football Data Analytics & Performance Analysis.
- 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 Module 1 — Introduction to football analytics.
- Global frameworks, regulations and reference architectures relevant to Football Data Analytics & Performance Analysis.
- 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 Football Data Analytics & Performance Analysis, 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.
02Module 2 — Understanding football data providers30 min+
Module 2 — Understanding football data providers
Module of "Football Data Analytics & Performance Analysis" — Phoenix Learning Cloud
Overview
This module gives you a rigorous, globally benchmarked treatment of Module 2 — Understanding football data providers as it applies to Football Data Analytics & Performance Analysis. 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 Module 2 — Understanding football data providers in the context of Football Data Analytics & Performance Analysis.
- 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 Module 2 — Understanding football data providers.
- Global frameworks, regulations and reference architectures relevant to Football Data Analytics & Performance Analysis.
- 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 Football Data Analytics & Performance Analysis, 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.
03Module 3 — KPIs in football30 min+
Module 3 — KPIs in football
Module of "Football Data Analytics & Performance Analysis" — Phoenix Learning Cloud
Overview
This module gives you a rigorous, globally benchmarked treatment of Module 3 — KPIs in football as it applies to Football Data Analytics & Performance Analysis. 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 Module 3 — KPIs in football in the context of Football Data Analytics & Performance Analysis.
- 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 Module 3 — KPIs in football.
- Global frameworks, regulations and reference architectures relevant to Football Data Analytics & Performance Analysis.
- 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 Football Data Analytics & Performance Analysis, 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.
04Module 4 — xG, xA, PPDA and advanced metrics30 min+
Module 4 — xG, xA, PPDA and advanced metrics
Module of "Football Data Analytics & Performance Analysis" — Phoenix Learning Cloud
Overview
This module gives you a rigorous, globally benchmarked treatment of Module 4 — xG, xA, PPDA and advanced metrics as it applies to Football Data Analytics & Performance Analysis. 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 Module 4 — xG, xA, PPDA and advanced metrics in the context of Football Data Analytics & Performance Analysis.
- 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 Module 4 — xG, xA, PPDA and advanced metrics.
- Global frameworks, regulations and reference architectures relevant to Football Data Analytics & Performance Analysis.
- 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 Football Data Analytics & Performance Analysis, 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.
05Module 5 — Match analysis using video30 min+
Module 5 — Match analysis using video
Module of "Football Data Analytics & Performance Analysis" — Phoenix Learning Cloud
Overview
This module gives you a rigorous, globally benchmarked treatment of Module 5 — Match analysis using video as it applies to Football Data Analytics & Performance Analysis. 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 Module 5 — Match analysis using video in the context of Football Data Analytics & Performance Analysis.
- 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 Module 5 — Match analysis using video.
- Global frameworks, regulations and reference architectures relevant to Football Data Analytics & Performance Analysis.
- 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 Football Data Analytics & Performance Analysis, 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.
06Module 6 — Power BI dashboards for football30 min+
Module 6 — Power BI dashboards for football
Module of "Football Data Analytics & Performance Analysis" — Phoenix Learning Cloud
Overview
This module gives you a rigorous, globally benchmarked treatment of Module 6 — Power BI dashboards for football as it applies to Football Data Analytics & Performance Analysis. 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 Module 6 — Power BI dashboards for football in the context of Football Data Analytics & Performance Analysis.
- 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 Module 6 — Power BI dashboards for football.
- Global frameworks, regulations and reference architectures relevant to Football Data Analytics & Performance Analysis.
- 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 Football Data Analytics & Performance Analysis, 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.
07Module 7 — Python for football analytics30 min+
Module 7 — Python for football analytics
Module of "Football Data Analytics & Performance Analysis" — Phoenix Learning Cloud
Overview
This module gives you a rigorous, globally benchmarked treatment of Module 7 — Python for football analytics as it applies to Football Data Analytics & Performance Analysis. 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 Module 7 — Python for football analytics in the context of Football Data Analytics & Performance Analysis.
- 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 Module 7 — Python for football analytics.
- Global frameworks, regulations and reference architectures relevant to Football Data Analytics & Performance Analysis.
- 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 Football Data Analytics & Performance Analysis, 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.
08Module 8 — AI in player performance analysis30 min+
Module 8 — AI in player performance analysis
Module of "Football Data Analytics & Performance Analysis" — Phoenix Learning Cloud
Overview
This module gives you a rigorous, globally benchmarked treatment of Module 8 — AI in player performance analysis as it applies to Football Data Analytics & Performance Analysis. 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 Module 8 — AI in player performance analysis in the context of Football Data Analytics & Performance Analysis.
- 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 Module 8 — AI in player performance analysis.
- Global frameworks, regulations and reference architectures relevant to Football Data Analytics & Performance Analysis.
- 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 Football Data Analytics & Performance Analysis, 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.
09Module 9 — Scouting with data30 min+
Module 9 — Scouting with data
Module of "Football Data Analytics & Performance Analysis" — Phoenix Learning Cloud
Overview
This module gives you a rigorous, globally benchmarked treatment of Module 9 — Scouting with data as it applies to Football Data Analytics & Performance Analysis. 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 Module 9 — Scouting with data in the context of Football Data Analytics & Performance Analysis.
- 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 Module 9 — Scouting with data.
- Global frameworks, regulations and reference architectures relevant to Football Data Analytics & Performance Analysis.
- 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 Football Data Analytics & Performance Analysis, 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.
10Module 10 — Final capstone project30 min+
Module 10 — Final capstone project
Module of "Football Data Analytics & Performance Analysis" — Phoenix Learning Cloud
Overview
This module gives you a rigorous, globally benchmarked treatment of Module 10 — Final capstone project as it applies to Football Data Analytics & Performance Analysis. 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 Module 10 — Final capstone project in the context of Football Data Analytics & Performance Analysis.
- 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 Module 10 — Final capstone project.
- Global frameworks, regulations and reference architectures relevant to Football Data Analytics & Performance Analysis.
- 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 Football Data Analytics & Performance Analysis, 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.