Statistical Analysis in Quality Management

1. Course Introduction

Statistical Analysis in Quality Management is increasingly important as organizations need practical capability that connects strategy, daily execution and measurable results. Without a structured approach, teams often rely on experience alone, making outcomes inconsistent and difficult to sustain.

This course provides the concepts, tools and practice needed to strengthen quality data and statistical analysis. Participants learn how to analyze current situations, select appropriate methods and apply them to realistic workplace cases.

The program is designed for practical application. Through discussion, exercises and guided reflection, participants build a clear action orientation and prepare to transfer learning into their own work environment.

2. Learning Objectives

• Explain the core principles and business value of quality data and statistical analysis.
• Analyze current practices, gaps and risks related to quality statistics overview.
• Use practical tools and templates to apply data collection and standardization in workplace situations.
• Coordinate with relevant stakeholders and communicate expectations clearly during implementation.
• Handle common obstacles, deviations or resistance without losing focus on objectives.
• Build an action plan to apply, monitor and sustain improvements after the course.

3. Target Participants

• Plant Managers and Production LeadersNeed to improve productivity, quality, equipment reliability and shop-floor operating discipline.
• Production, Maintenance and Engineering SupervisorsDirectly manage production lines, equipment, standards, abnormalities and improvement activities.
• QA, QC, IE, Lean and Continuous Improvement StaffSupport data analysis, process improvement, standardization and cross-functional implementation.
• Team Leaders and High-Potential Production StaffPrepare for broader responsibility in production, maintenance or operational excellence roles.

4. Course Content

The six-part course content covers quality statistics overview, data collection and standardization, descriptive statistics tools, variation analysis and process control, quality decision-making based on data and statistical application plan, moving from foundation to practical workplace application.

5. Training Methodology

The class is delivered in small groups with a learner-centered approach. The instructor presents concise concepts, facilitates discussion, leads case practice, provides feedback and helps participants convert knowledge into applied workplace behavior.

6. Class Information

Note:The opening schedule is tentative and may be adjusted based on the number of registered participants, class delivery conditions and the actual training plan. Masterskills will confirm the official schedule with participants before the opening date.

• Duration:2 days / 4 sessions; maximum 35 participants per class.
• Ho Chi Minh City:224 Dien Bien Phu, Ban Co Ward, Ho Chi Minh City.
• Hanoi:51 Le Dai Hanh, Hai Ba Trung Ward, Hanoi.
• Corporate In-House Training:Delivered at the office or factory; pricing is based on design scope, delivery location and class size.
• Additional Costs:Instructor travel and accommodation costs are determined by the delivery location, if applicable.

7. Learning Materials & Certification

Participants receive copyrighted course materials prepared by Masterskills, practice handouts, self-assessment forms and reference materials aligned with business situations.

Certificate of Course Completion

Participants who meet attendance and practice requirements are awarded a Masterskills certificate of course completion.