Course Summary
Learn how to analyze data using Six Sigma methodology to improve business processes and reduce defects. This course covers various statistical tools and techniques for data analysis.Key Learning Points
- Understand the DMAIC process of Six Sigma
- Learn how to use statistical tools like hypothesis testing and regression analysis
- Apply Six Sigma methodology to real-world business problems
Related Topics for further study
Learning Outcomes
- Understand the DMAIC process of Six Sigma and how to apply it to business problems
- Use statistical tools to analyze data and identify areas for process improvement
- Develop a data-driven approach to problem-solving
Prerequisites or good to have knowledge before taking this course
- No prior knowledge of Six Sigma is required, but some background in statistics would be helpful
- Access to statistical software like Minitab or Excel is recommended
Course Difficulty Level
IntermediateCourse Format
- Online self-paced course
- Video lectures
- Quizzes and assignments
Similar Courses
- Lean Six Sigma Green Belt
- Data Analysis and Presentation Skills: the PwC Approach
- Data Science Methodology
Notable People in This Field
- Mikel J. Harry
- W. Edwards Deming
Related Books
Description
This course will cover the Measure phase and portions of the Analyze phase of the Six Sigma DMAIC (Define, Measure, Analyze, Improve, and Control) process. You will learn about lean tools for process analysis, failure mode and effects analysis (FMEA), measurement system analysis (MSA) and gauge repeatability and reproducibility (GR&R), and you will be introduced to basic statistics. This course will outline useful measure and analysis phase tools and will give you an overview of statistics as they are related to the Six Sigma process.
Outline
- Measurement System Analysis
- Measurement System Analysis Part 1
- Measurement System Analysis Part 2
- Highly-Recommended Text
- Measurement System Analysis - Recommended Reading
- Gage Repeatability & Reproducibility - Recommended Reading
- Measurement System Analysis Practice
- Measurement System Analysis Practice Graded Quiz
- Process Analysis Tools
- Process Analysis Tools
- Eliminating Waste
- 5S
- FMEA Part 1
- FMEA Part 2
- FMEA Part 3
- Eliminating Waste and 5S - Recommended Reading
- FMEA Pt. 1 - Recommended Reading
- FMEA Pt. 2 - Recommended Reading
- FMEA Gift - Recommended Reading
- Process Analysis Tools Practice
- Process Analysis Tools
- Root Cause Analysis
- Root Cause Analysis
- 5 Whys
- Process Mapping
- Force Field Analysis
- Matrix Charts
- 5 Whys - Recommended Reading
- Process Mapping - Recommended Reading
- Force Field Analysis - Recommended Reading
- Matrix Charts - Recommended Reading
- Root Cause Analysis Practice
- Root Cause Analysis Graded Quiz
- Data Analysis
- Characteristics of Probability Distributions
- Calculating Probabilities Using the Normal Distribution
- Calculating Probabilities in the Normal Distribution: Example Problems
- The Binomial Distribution
- Binomial Distribution Calculations
- Binomial Distribution Calculations: More Examples
- Common Versus Special Cause Variation
- Characteristics of Probability Distributions - Recommended Reading
- The Normal Distribution Table
- The Binomial Distribution - Recommended Reading
- Common Versus Special Cause Variation - Recommended Reading
- Data Analysis Practice Quiz
- Data Analysis Graded Quiz
Summary of User Reviews
Key Aspect Users Liked About This Course
The course provides practical examples and exercises that help learners understand the concepts better.Pros from User Reviews
- The course content is well-structured and easy to follow.
- The instructors provide clear explanations and are knowledgeable.
- The course is comprehensive and covers all aspects of Six Sigma.
- The exercises and quizzes help learners reinforce their learning.
- The course is very practical and applicable to real-life situations.
Cons from User Reviews
- The course can be challenging for those without a background in statistics or mathematics.
- Some learners found the quizzes to be too difficult.
- The course may not be suitable for those who are looking for a quick overview of Six Sigma.
- Some learners found the pace of the course to be too slow.
- The course may not be engaging enough for some learners.
Christina Scherrer, PhD
4.7 Raiting
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