Spreadsheet Analysis for Quality Improvement

Programme Summary

Use spreadsheet tools to turn quality records into reliable analysis and clear operational decisions. Participants clean and structure data, calculate key measures and build practical charts and summaries. Quality specific exercises cover defects, process variation and improvement tracking, with emphasis on formula checks, traceable assumptions and preventing attractive dashboards from concealing poor data or misleading comparisons.

Training Objectives

1 Structure quality data for reliable analysis; 2 Apply appropriate spreadsheet calculations and summaries; 3 Select useful charts for quality questions; 4 Validate formulas assumptions and data transformations; 5 Communicate findings with clear operational limitations.

Learning Outcomes

1 Clean and organise a quality dataset; 2 Calculate defect and process performance measures; 3 Build a reusable quality summary table; 4 Create an accurate quality performance chart; 5 Document checks supporting an analytical conclusion.

Target Audience

Quality Engineers; Quality Analysts; Quality Coordinators; Production Analysts; Improvement Specialists.

Target Industries

Automotive Manufacturing; Electronics Manufacturing; Industrial Equipment Manufacturing; Medical Device Manufacturing; Consumer Goods Manufacturing; Industrial Services.

Course Contents

• Module 1 Quality Analysis Questions: Decisions measures and required evidence; Data sources owners and reporting purpose; Limits of spreadsheet based analysis.
• Module 2 Data Structure and Import: Tabular records and consistent field definitions; Dates categories units and identifiers; Import controls and source traceability.
• Module 3 Cleaning and Validation: Missing duplicate and inconsistent records; Range checks and logical validation; Documented corrections and retained source data.
• Module 4 Formula Fundamentals for Quality: Relative absolute and structured references; Conditional calculations and lookup functions; Error handling and independent formula checks.
• Module 5 Descriptive Statistics: Counts averages spread and percentiles; Stratification and subgroup comparisons; Appropriate treatment of unusual observations.
• Module 6 Defect and Yield Measures: Defects defective units and opportunities; First pass yield and rework measures; Consistent denominators and comparability.
• Module 7 Pivot Summaries: Category time and process comparisons; Grouping filters and calculated summaries; Checking totals and source completeness.
• Module 8 Quality Charts: Pareto histograms and time sequence charts; Clear scales labels and reference lines; Avoiding misleading visual comparisons.
• Module 9 Basic Process Monitoring: Run chart interpretation and simple controls; Distinguishing specifications from statistical limits; Limits of unsupported capability calculations.
• Module 10 Improvement Tracking: Before after comparisons and baseline consistency; Action status and effectiveness measures; Documenting external influences and uncertainty.
• Module 11 Workbook Governance: Protected formulas versions and review ownership; Refresh checks and controlled distribution; Data privacy and access responsibilities.
• Module 12 Quality Analysis Workshop: Building a checked analytical workbook; Explaining findings and practical limitations; Presenting a quality improvement recommendation.

Assessment

• 60 single best answer questions, including applied scenarios; one mark per question.
• 90 minute invigilated digital examination with identity verification. Approved accessibility adjustments preserve the assessed competence.
• Supplied reference pack and calculator permitted; external internet and AI prohibited.
• Individual applied assessment (45 minutes): Build a quality analysis workbook from supplied raw records, validate formulas and totals, and present a chart supported improvement conclusion.
• Assessment criteria: Accurate data preparation and calculations; Appropriate analysis and visual presentation; Traceable checks and honest interpretation.
• Pass each component separately: 45/60 written marks (75%) and at least 70% on the applied task.
• Individual results and feedback are provided. One reassessment may follow coaching under the published enrolment terms.

Certification

• Successful learners receive a TQCSI Arabia digital Certificate of Successful Completion.
• The certificate records the learner name, exact programme title, teaching hours, completion date and unique verification reference.
• Verified identity, full attendance and separate written and applied passes are required; all mandatory critical criteria must be met.
• Proposed issue target: within 30 calendar days of approved results and settlement of applicable fees.
• Records spreadsheet analysis skills for quality work; it does not validate software or establish advanced statistical competence.
• Attendance confirmation may record completed hours for unsuccessful learners; it does not certify successful completion.

Programme Profile

Number of daysNumber of daysNumber of days

333

Total teaching hoursTotal teaching hoursTotal teaching hours

18 hours; breaks, pre course work and formal final assessments excluded.18 hours; breaks, pre course work and formal final assessments excluded.18 hours; breaks, pre course work and formal final assessments excluded.

Delegates allowedDelegates allowedDelegates allowed

Maximum 16 delegates.Maximum 16 delegates.Maximum 16 delegates.

Training prerequisitesTraining prerequisitesTraining prerequisites

Working knowledge of spreadsheet navigation and basic formulas is required. Familiarity with quality data and basic statistics is recommended.Working knowledge of spreadsheet navigation and basic formulas is required. Familiarity with quality data and basic statistics is recommended.Working knowledge of spreadsheet navigation and basic formulas is required. Familiarity with quality data and basic statistics is recommended.

Pre course assignment and assessmentPre course assignment and assessmentPre course assignment and assessment

Complete a 30-minute spreadsheet diagnostic covering formulas, sorting, filters and basic data checks.Complete a 30-minute spreadsheet diagnostic covering formulas, sorting, filters and basic data checks.Complete a 30-minute spreadsheet diagnostic covering formulas, sorting, filters and basic data checks.

End of course assessmentEnd of course assessmentEnd of course assessment

60 question written exam (90 minutes) and individual applied task (45 minutes).60 question written exam (90 minutes) and individual applied task (45 minutes).60 question written exam (90 minutes) and individual applied task (45 minutes).

Passing criteriaPassing criteriaPassing criteria

75% written and 70% applied, passed separately; full attendance.75% written and 70% applied, passed separately; full attendance.75% written and 70% applied, passed separately; full attendance.