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Lois A. Jordan and David Cook, PhD

This course is designed for professionals interested in learning the principles of Lean Sigma, the DMAIC process and DFSS. This course is number 5 of 8 in this specialization dealing with topics in the Analyze Phase of Six Sigma

Professionals with some completed coursework in statistics and a desire to drive continuous improvement within their organizations would find this course and the others in this specialization appealing.

Method of assessment consists of several formative and summative quizzes and a multi-part peer reviewed project completion regiment.

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What's inside

Syllabus

Measuring and Modeling Relationships Between Variables
Hypothesis Testing Terminology
Parametric Hypothesis Tests
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Teaches the principles of Lean Sigma DMAIC process and DFSS
Suitable for professionals seeking continuous improvement within organizations
Builds upon prerequisite coursework in statistics and desire for continuous improvement
Covers fundamental concepts in analyzing relationships between variables
Provides understanding of parametric and non-parametric hypothesis testing
Includes peer-reviewed project to apply learned concepts

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Reviews summary

Statistical analysis for six sigma black belt

According to learners, this course provides an in-depth and clear understanding of the Analyze Phase for Six Sigma Black Belts. Students praise the well-structured lectures and the instructor's ability to simplify complex statistical concepts like hypothesis testing, ANOVA, and regression. The content is consistently found to be highly relevant and immediately applicable to professional work, particularly in quality improvement. The peer-reviewed project is noted as challenging yet rewarding, reinforcing practical application. However, a notable point raised by some is the limited hands-on practical demonstrations with statistical software, which might leave a gap for those seeking direct application guidance.
The course content is directly relevant and immediately applicable to professional roles.
"The content covers crucial aspects of the Analyze phase... very relevant to my work in quality improvement."
"The peer-reviewed project was challenging but highly rewarding, as it forced me to apply what I learned to real-world scenarios."
"I found myself applying these concepts immediately in my job."
Complex statistical concepts are explained in a highly understandable manner.
"The lectures on hypothesis testing were crystal clear."
"The instructor explained complex topics like ANOVA and regression analysis in a very digestible way."
"The depth of coverage on hypothesis testing is impressive. The material is rigorous but well-explained."
"I found the sections on parametric tests particularly useful."
Some found the pace fast, assuming a stronger prior statistical background.
"I found the pace a bit fast, assuming a stronger stats background than I possessed."
"Not for true beginners... I struggled to see the real-world utility without more examples."
Course lacks sufficient hands-on demonstrations using statistical software.
"I wish there were more practical demonstrations, perhaps using a specific statistical software."
"My only critique is the lack of hands-on tutorials with software like Minitab. Many peers expressed this need too."
"Very theoretical, little to no practical guidance on *how* to apply these tests using software."
"I felt there was a gap in connecting the concepts to actual software usage."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in The Analyze Phase for the 6 σ Black Belt with these activities:
Follow Tutorials on Bayesian Analysis
Expand your knowledge of Bayesian analysis by following structured tutorials and practicing examples.
Browse courses on Bayesian Analysis
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  • Identify a reputable online platform or course that provides tutorials on Bayesian analysis
  • Watch the tutorials and take notes on key concepts and techniques
  • Complete the exercises and assignments provided with the tutorials
  • Implement Bayesian analysis techniques in a small project or assignment
Review Book: Statistical Methods for Quality Improvement
Expand your knowledge of statistical methods used in quality improvement initiatives.
Show steps
  • Read the chapters relevant to the material covered in this module
  • Take notes on key concepts and formulas
  • Complete the exercises and practice problems at the end of each chapter
Practice Hypothesis Testing
Reinforce your understanding of topics covered in this section by performing repeated exercises on hypothesis testing.
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  • Solve practice problems on parametric and non-parametric hypothesis tests
  • Review the different types of hypothesis tests and their applications
  • Identify the null and alternative hypotheses for a given scenario
  • Calculate the test statistic and determine the p-value
  • Draw conclusions based on the results of the hypothesis test
Four other activities
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Show all seven activities
Develop a Data Analysis Plan for a Real-World Problem
Solidify your understanding of data analysis processes by creating a comprehensive data analysis plan for a real-world problem.
Browse courses on Data Analysis
Show steps
  • Identify a specific problem or research question that can be addressed using data analysis
  • Define the goals and objectives of your analysis
  • Identify and gather the necessary data sources
  • Develop a data analysis methodology, including data cleaning, transformation, and modeling techniques
  • Document your plan in a written report or presentation
Develop Visual Aids for Analyzing Relationships
Enhance your ability to analyze relationships between variables by creating visual representations, such as graphs and charts.
Browse courses on Data Analysis
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  • Choose an appropriate data visualization technique for the type of data you have
  • Create a visual representation of the data using a software tool or manually
  • Extract insights and identify patterns from the visual representation
  • Write a brief summary of your findings
Attend a Workshop on Advanced Data Analysis Techniques
Gain hands-on experience with advanced data analysis techniques and tools through a structured workshop.
Browse courses on Advanced Data Analysis
Show steps
  • Research and identify a reputable workshop that aligns with your learning goals
  • Register and attend the workshop sessions
  • Actively participate in hands-on exercises and discussions
  • Take notes and ask questions to enhance your understanding
  • Follow up with the workshop organizers or instructors for additional resources
Contribute to an Open-Source Data Analysis Project
Enhance your understanding of open-source tools and contribute to the community by actively working on a data analysis project.
Browse courses on Open-Source Software
Show steps
  • Identify a reputable open-source data analysis project that aligns with your interests
  • Join the project's community and familiarize yourself with its goals and codebase
  • Identify an area where you can contribute, such as bug fixing or feature development
  • Submit a pull request with your proposed changes or contributions
  • Collaborate with other contributors and maintainers to refine and improve your work

Career center

Learners who complete The Analyze Phase for the 6 σ Black Belt will develop knowledge and skills that may be useful to these careers:
Six Sigma Black Belt
A Six Sigma Black Belt is a professional who has achieved certification in the Six Sigma methodology. The Analyze Phase for the 6 σ Black Belt course can help you prepare for this certification by teaching you the principles of Lean Sigma, the DMAIC process, and DFSS. This course also covers the statistical and analytical techniques that are essential for Six Sigma.
Data Scientist
A Data Scientist develops and deploys models for solving complex business problems. The Analyze Phase for the 6 σ Black Belt course can help prepare you for this role by teaching you the principles of Lean Sigma, the DMAIC process, and DFSS. This knowledge will be essential for understanding how to collect, analyze, and interpret data in order to make informed decisions.
Business Analyst
A Business Analyst identifies and develops solutions to business problems. The Analyze Phase for the 6 σ Black Belt course can help prepare you for this role by teaching you how to use data and statistics to analyze business problems and develop effective solutions.
Operations Research Analyst
An Operations Research Analyst uses mathematical and analytical techniques to solve business problems. The Analyze Phase for the 6 σ Black Belt course can help prepare you for this role by teaching you how to use statistics and data analysis to develop and implement solutions to complex business problems.
Quality Control Manager
A Quality Control Manager is responsible for developing and implementing quality control processes. The Analyze Phase for the 6 σ Black Belt course can help prepare you for this role by teaching you how to use statistics and data analysis to identify and correct quality problems. This course also covers the principles of Lean Sigma, the DMAIC process, and DFSS, which are essential for understanding how to improve quality.
Process Improvement Manager
A Process Improvement Manager is responsible for improving the efficiency and effectiveness of business processes. The Analyze Phase for the 6 σ Black Belt course can help prepare you for this role by teaching you how to use data and statistics to analyze business processes and identify areas for improvement.
Industrial Engineer
An Industrial Engineer is responsible for designing and improving industrial systems. The Analyze Phase for the 6 σ Black Belt course can help prepare you for this role by teaching you how to use data and statistics to analyze industrial systems and identify areas for improvement. This course also covers the principles of Lean Sigma, the DMAIC process, and DFSS, which are essential for understanding how to improve industrial systems.
Manufacturing Engineer
A Manufacturing Engineer is responsible for designing and optimizing manufacturing processes. The Analyze Phase for the 6 σ Black Belt course can help prepare you for this role by teaching you how to use data and statistics to analyze manufacturing processes and identify areas for improvement. This course will also teach you about Lean Sigma, the DMAIC process, and DFSS, which are essential for understanding how to improve manufacturing processes.
Data Analyst
A Data Analyst is responsible for collecting, analyzing, and interpreting data. The Analyze Phase for the 6 σ Black Belt course can help prepare you for this role by teaching you how to use statistics and data analysis to draw meaningful insights from data. This course will also teach you about Lean Sigma, the DMAIC process, and DFSS, which are essential for understanding how to use data to improve business processes.
Statistician
A Statistician is responsible for collecting, analyzing, and interpreting data. The Analyze Phase for the 6 σ Black Belt course can help prepare you for this role by teaching you how to use statistics and data analysis to draw meaningful insights from data. This course also covers the principles of Lean Sigma, the DMAIC process, and DFSS, which are essential for understanding how to use data to improve business processes.
Market Research Analyst
A Market Research Analyst is responsible for collecting and analyzing data on consumer behavior. The Analyze Phase for the 6 σ Black Belt course can help prepare you for this role by teaching you how to use statistics and data analysis to draw meaningful insights from data. This course will also teach you about Lean Sigma, the DMAIC process, and DFSS, which are essential for understanding how to use data to improve business processes.
Financial Analyst
A Financial Analyst is responsible for analyzing financial data to make investment recommendations. The Analyze Phase for the 6 σ Black Belt course can help prepare you for this role by teaching you how to use statistics and data analysis to draw meaningful insights from data. This course also covers the principles of Lean Sigma, the DMAIC process, and DFSS, which are essential for understanding how to use data to improve business processes.
Actuary
An Actuary is responsible for assessing and managing financial risks. The Analyze Phase for the 6 σ Black Belt course can help prepare you for this role by teaching you how to use statistics and data analysis to assess risk. This course also covers the principles of Lean Sigma, the DMAIC process, and DFSS, which are essential for understanding how to manage risk.
Risk Manager
A Risk Manager is responsible for identifying and managing risks to an organization. The Analyze Phase for the 6 σ Black Belt course can help prepare you for this role by teaching you how to use statistics and data analysis to assess risk. This course also covers the principles of Lean Sigma, the DMAIC process, and DFSS, which are essential for understanding how to manage risk.
Compliance Officer
A Compliance Officer is responsible for ensuring that an organization complies with all applicable laws and regulations. The Analyze Phase for the 6 σ Black Belt course may be helpful for preparing you for this role by teaching you how to use data and statistics to identify and mitigate compliance risks.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in The Analyze Phase for the 6 σ Black Belt.
Provides a comprehensive guide to regression analysis, including topics covered in the Analyze Phase, such as hypothesis testing and model selection.
Provides a strong foundation in statistical methods used in the Analyze Phase, including hypothesis testing and regression analysis.
Covers non-parametric statistical methods, which are used when assumptions of normality and equal variance are not met, as is often the case in Six Sigma projects.
Classic reference for Six Sigma professionals and covers the Analyze Phase in detail, providing additional insights and examples.
Introduces the R programming language and its use in exploratory data analysis, which is essential for understanding and preparing data for the Analyze Phase.
Provides an overview of data mining techniques, which can be used to uncover hidden insights and patterns in data, complementing the Analyze Phase.
Provides an introduction to MANOVA, a statistical technique used to compare multiple means simultaneously, which can be useful in the Analyze Phase.
Provides an accessible introduction to Six Sigma concepts, including the Analyze Phase, and is suitable for beginners.

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