Course Summary
Learn advanced Six Sigma analysis techniques to improve quality and efficiency in your organization. This course covers advanced statistical analysis tools and methods to identify and solve problems in business processes.Key Learning Points
- Learn advanced statistical analysis tools and methods for problem-solving
- Apply Six Sigma principles to improve quality and efficiency in your organization
- Implement advanced data analysis techniques to identify and solve problems in business processes
Related Topics for further study
Learning Outcomes
- Apply advanced Six Sigma analysis techniques to identify and solve problems in business processes
- Implement statistical process control techniques to improve quality and efficiency
- Use advanced data analysis methods to monitor and improve business processes
Prerequisites or good to have knowledge before taking this course
- Completion of Six Sigma Yellow Belt and Green Belt courses
- Familiarity with statistical analysis tools and methods
Course Difficulty Level
AdvancedCourse Format
- Online
- Self-paced
- Video lectures
- Assignments
- Quizzes
Similar Courses
- Six Sigma Black Belt Certification
- Lean Six Sigma Green Belt Certification
Related Education Paths
- Six Sigma Black Belt Certification
- Lean Six Sigma Green Belt Certification
- Data Analysis and Presentation Skills: the PwC Approach
- Project Management Principles and Practices
Notable People in This Field
- Mikel Harry
- Joseph M. Juran
Related Books
Description
This course is for you if you are looking to dive deeper into Six Sigma or strengthen and expand your knowledge of the basic components of green belt level of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes and performance. This course will take you deeper into the principles and tools associated with the "Analyze" phase of the DMAIC structure of Six Sigma.
Outline
- HYPOTHESIS TESTING
- Hypothesis Test Z-Test
- Hypothesis Test T-Test
- Confidence Intervals
- Paired Comparison Tests
- Anova Chi-Square
- Highly-Recommended Text
- Hypothesis Test Z-Test - Recommended Reading
- Hypothesis Test T-Test - Recommended Reading
- Confidence Intervals - Recommended Reading
- Paired Comparison Tests - Recommended Reading
- Anova Chi-Square - Recommended Reading
- Hypothesis Testing Practice Quiz
- Hypothesis Testing Graded Quiz
- Design of Experiments (DOE) - Part 1
- Intro to Design of Experiments
- Factors, Outcomes, Levels and Treatments
- Variables, Effects, Interaction and Experimental Error
- Ways to Mitigate Experimental Error
- The DOE Process
- Design of Experiments & Factors, Outcomes, Levels, and Treatments - Recommended Reading
- Variables, Effects, Interaction, and Experimental Error - Recommended Reading
- Ways to Mitigate Experimental Error - Recommended Reading
- DOE Process - Recommended Reading
- Design of Experiments- pt 1 Practice Quiz
- Design of Experiments- pt 1 Graded Quiz
- Design of Experiments (DOE) - Part 2
- Interpreting Main Effects
- Interaction Effects
- Introduction to ANOVA
- Full VS Fractional Factorial Design
- Summary of DOE
- Interpreting Main Effects in DOE - Recommended Reading
- Interpreting Interaction in DOE - Recommended Reading
- introduction to ANOVA - Recommended Reading
- Full & Fractional Design - Recommended Reading
- Summary of DOE - Recommended Reading
- Design of Experiments- pt 2 Practice Quiz
- Design of Experiments- pt 2 Graded Quiz
Summary of User Reviews
Discover advanced methods of Six Sigma analysis with this comprehensive online course. Users rave about the course's thoroughness and applicability, with many praising the instructor's expertise. One key aspect that many users found particularly helpful is the course's emphasis on practical exercises and real-world examples.Pros from User Reviews
- Instructor's expertise and engaging teaching style
- Thoroughness and comprehensiveness of course content
- Practical exercises and real-world examples reinforce learning
- Flexible scheduling and self-paced coursework
- Certificate of completion adds value to resume or professional profile
Cons from User Reviews
- Some users found the course material too technical or dense
- Limited interaction with other students or instructor
- Course may not be suitable for those with no prior knowledge of Six Sigma
- Pricing may be too high for some users
- Lack of hands-on training or practical application outside of coursework
Christina Scherrer, PhD
4.7 Raiting
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