Performance Analyst Principles Level 3
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Summary
- Reed Courses Certificate of Completion - Free
- Final Exam (included in price)
- Tutor is available to students
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Overview
Assessment details
Final Exam
Included in course price
Curriculum
This course contains
Format: 30 PDFs, 1 Article and 1 Quiz
Duration: 1h and 28m
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Disclaimer 01:00
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Lecture 1: Introduction to Advanced Performance Analysis 06:00
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Lecture 2: Advanced Data Analytics for Performance Analysis 06:00
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Lecture 3: Performance Analysis in Financial Management 06:00
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Lecture 4: Performance Analysis in Sports and Athletics 08:00
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Lecture 5: Performance Analysis in Business Operations 07:00
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Lecture 6: Performance Analysis in IT and Technology 09:00
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Lecture 7: Performance Dashboards and Visualization 09:00
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Lecture 8: Performance Reporting and Communication 09:00
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Lecture 9: Performance Improvement Strategies 07:00
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Lecture 10: Ethical Considerations in Performance Analysis 08:00
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Assessment 12:00
Description
This Performance Analyst Principles Level 3 course consists of ten structured lectures, followed by an assessment, each addressing a key area of performance analysis knowledge and professional awareness.
The course begins with an introduction to advanced performance analysis, exploring the role of the performance analyst, the KPI landscape, and advanced data collection methods. Learners then examine data analytics concepts, including statistical techniques, regression and correlation awareness, and time series analysis for identifying trends.
Performance analysis in financial management focuses on financial ratios, budget variance analysis, and forecasting concepts to support performance assessment. Sports and athletics performance analysis introduces performance metrics, biomechanical awareness, and video analysis concepts used to optimise athletic outcomes.
Business operations performance analysis examines lean principles, Six Sigma awareness, process mapping, value stream analysis, and identifying operational bottlenecks. IT and technology performance analysis introduces IT service management frameworks, cybersecurity performance metrics, and software development life cycle performance awareness.
Performance dashboards and visualisation explore dashboard design principles, advanced visualisation tools, and creating insights from complex datasets. Performance reporting and communication focus on report structuring, stakeholder communication, and managing challenging performance discussions.
Performance improvement strategies examine root cause analysis, improvement planning, and monitoring effectiveness. Ethical considerations address privacy, data protection, fairness, bias, and ethical decision-making in performance analysis.
Certification
Upon successful completion of the Performance Analyst Principles Level 3 course, learners receive a free digital certificate confirming course completion. A provider-issued certificate is also available following verification, with optional premium certificates and academic transcripts available separately. This course supports professional development, analytical awareness, and informed engagement with performance analysis.
Who is this course for?
This Performance Analyst course is suitable for learners interested in data-driven decision-making, performance measurement, analytics awareness, or management support roles. It is ideal for business professionals, administrators, sports support staff, IT support personnel, students, or individuals preparing for further study in analytics or performance management.
Requirements
No formal qualifications or prior analytics experience are required to enrol on this Performance Analyst course. Learners should have a basic to good standard of English, access to the internet, and a computer, tablet, or smartphone. Completion of the final assessment is required to successfully finish the course.
Career path
Performance Analyst Principles Level 3 can support progression into performance support roles, reporting and analysis assistance, business operations support, sports analytics assistance, or further academic study in data, analytics, or management-related disciplines.
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Legal information
This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.