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Course Outline
Introduction
- Advanced overview of Six Sigma
- Deep dive into each phase of DMAIC
- Roles and responsibilities of a Black Belt
Define Phase - Project Definition and Management
- Advanced techniques in defining project scope and goals
- Stakeholder analysis and communication
- Developing a strong project charter
Measure Phase - Data Collection and Analysis
- Designing effective data collection strategies
- Measurement System Analysis (MSA)
- Advanced statistical techniques for data analysis
Analyze Phase - Identifying Root Causes
- Advanced tools for root cause analysis
- Statistical hypothesis testing
- Process behavior analysis
Improve Phase - Solution Development and Implementation
- Design of Experiments (DOE)
- Solution ideation and selection techniques
- Risk assessment and mitigation in improvement strategies
- Pilot testing and full-scale implementation
Control Phase - Sustaining Improvements
- Developing effective control plans
- Statistical Process Control (SPC) strategies
- Ensuring long-term process stability
Advanced Project Management Skills
- Leading complex projects
- Managing project teams and dynamics
- Time and resource management
Leadership and Change Management
- Leadership skills for Black Belts
- Organizational change management
- Training and mentoring Green Belts and team members
Black Belt Certification
- Preparation for the Black Belt certification exam
- Tips and best practices
Summary and Next Steps
Requirements
- Green Belt certification
- Experience in managing or participating in process improvement projects
Audience
- Senior project managers
- Six Sigma professionals
21 Hours
Testimonials (8)
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R
We were using road accident data for practicals
Maphahamiso Ralienyane - Road Safety Department
Course - Statistical Analysis using SPSS
Well thought out and high grade planning materials.
Andrew - Office of Projects Victoria - Department of Treasury & Finance
Course - Forecasting with R
Wasn't boring, the trainer could keep the attention, the topics were covered in depth.
Marta - Ministerstwo Zdrowia
Course - Advanced R Programming
Very tailored to needs.
Yashan Wang
Course - Data Mining with R
The subject matter and the pace were perfect.
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course - Programming with Big Data in R
At the end of the class, we had a great overview of the language, we were provided tools to continue learning and were provided suggestions on how to continue learning. We covered AI/ML information.
Victor Prado - Global Knowledge Network Training Ltd
Course - R
That Haytham started with the basics and gave us enough time to do the examples and ensure that we were at the same page before we moved on to the next topic.
