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Course Outline
Introduction to Six Sigma and DMAIC
- Overview of Six Sigma principles
- Understanding the DMAIC process
- Roles and responsibilities of a Green Belt
Define Phase
- Project charter development
- Identifying customer requirements
- Problem statement and project objectives
- High-level process mapping (SIPOC)
Measure Phase
- Data collection strategies
- Measurement System Analysis (MSA)
- Basic statistical analysis
- Process capability Analysis
Analyze Phase
- Root cause analysis techniques
- Exploratory data analysis
- Hypothesis testing
- Identifying and verifying causes
Improve Phase
- Generating and selecting solutions
- Design of Experiments (DOE)
- Implementing improvements
- Risk Analysis and mitigation
Control Phase
- Developing control plans
- Statistical Process Control (SPC)
- Documentation and standardization
- Ensuring sustained improvements
Project Management and Soft Skills
- Effective project management for Green Belts
- Communication and leadership skills
- Team dynamics and conflict resolution
- Change management
Green Belt Certification
- Preparing for the Green Belt certification exam
- Tips and best practices
Summary and Next Steps
Requirements
- Knowledge of Six Sigma principles
- Understanding of basic statistics
Audience
- Managers
- Professionals with Yellow Belt certification
21 Hours
Testimonials (13)
the clarity with which he explained the entire course, as well as the willingness to return to the syllabus when necessary
Carlos Eloy - AMERICAN EXPRESS COMPANY MEXICO
Course - Data Analytics With R
Machine Translated
I liked that the trainer made sure we all understood and were following the lectures. if we had a problem, he stopped and helped us fix it.
Cesar - AMERICAN EXPRESS COMPANY MEXICO
Course - Data Analytics With R
We were using road accident data for practicals
Maphahamiso Ralienyane - Road Safety Department
Course - Statistical Analysis using SPSS
Trainer used our data (that we understand)to make training exercises.
Maphahamiso Ralienyane - Road Safety Department
Course - Statistical Analysis using SPSS
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.
Jaco Dreyer - Africa Health Research Institute
Course - R Fundamentals
I enjoyed that it was very hands-on, so we were constantly having the chance to try things on, rather than just sitting listening to a lecture (for example). I felt like I am now able to go away and start using R, which I haven't been able to do before
Kathy Baisley - Africa Health Research Institute
Course - R Fundamentals
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
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
Michael the trainer is very knowledgeable and skillful about the subject of Big Data and R. He is very flexible and quickly customize the training meeting clients' need. He is also very capable to solve technical and subject matter problems on the go. Fantastic and professional training!.
Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course - Programming with Big Data in R
I really was benefit from the real life practical examples.
Wioleta
Course - Data and Analytics - from the ground up
I mostly liked the patience of Tamil.
Laszlo Maros
Course - Data and Analytics - from the ground up
The flexible and friendly style. Learning exactly what was useful and relevant for me.
Jenny
Course - Advanced R
Very tailored to needs.
