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Skill-Up EdTech Team
and
E R Suresh Narain
This course is designed to guide you on how to prepare for the American Society for Quality Certified Six Sigma Black Belt (ASQ CSSBB) certification, a mark of quality excellence across industries.
Read more
This course is designed to guide you on how to prepare for the American Society for Quality Certified Six Sigma Black Belt (ASQ CSSBB) certification, a mark of quality excellence across industries.
Read more
This course is designed to guide you on how to prepare for the American Society for Quality Certified Six Sigma Black Belt (ASQ CSSBB) certification, a mark of quality excellence across industries.
The course offers insights into the statistical tools for drawing valid conclusions, depicting relationships, analyzing measurement systems, testing hypotheses, designing experiments, applying statistical process control, and leading advanced Six Sigma projects across the enterprise.
By the end of this course, you will be able to:
- Identify the statistical analysis tools required for quality and process improvement in each phase of the DMAIC methodology.
- Describe the statistical processes of each phase of the DMAIC methodology used for operational efficiency.
- Apply statistical analysis tools for representing relationships, analyzing systems, and testing hypotheses.
- Implement design experiments and apply statistical process control to streamline business processes.
This course is best suited for employees working in process improvement teams, including individuals with significant experience leading and executing Six Sigma, lean, or other quality improvement projects.
Register for this course and see more details by visiting:
OpenCourser.com/course/1kkx8l/advanced
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What's inside
Syllabus
Statistical analysis and tools in the measure phase
In this module, you will learn about the various statistical tools you can use for process analysis and data collection. The module delves into the statistical technique of measurement system analysis (MSA). You will also learn how to use graphical tools to construct and interpret diagrams and charts. You will be equipped with how the results of statistical studies are used to draw valid conclusions, the distribution methods relevant to probability, and the techniques used for process capability. Finally, you will learn to interpret the difference between short-term and long-term capabilities.
Read more
Syllabus
Statistical analysis and tools in the measure phase
In this module, you will learn about the various statistical tools you can use for process analysis and data collection. The module delves into the statistical technique of measurement system analysis (MSA). You will also learn how to use graphical tools to construct and interpret diagrams and charts. You will be equipped with how the results of statistical studies are used to draw valid conclusions, the distribution methods relevant to probability, and the techniques used for process capability. Finally, you will learn to interpret the difference between short-term and long-term capabilities.
Read more
Statistical analysis and tools in the analyze phase
In this module, you will learn how to measure and model relationships between variables. You will explore the correlation coefficient, linear regression, and multivariate tools. The module also delves into applying the key concepts of hypothesis testing, such as the significance of testing, calculating sample size, and analyzing waste. You will become acquainted with techniques such as point and interval estimates and tests for means, variances, and proportions. Additionally, you will learn the analysis of variance (ANOVA) and goodness-of-fit (chi-square) tests and the techniques for analyzing and managing risk.
Statistical analysis and tools in the improve and control phase
In this module, you will explore the key concepts of the design of experiments (DOE). You will also learn how to apply the principles of DOE, such as power, sample size, balance, repetition, replication, order, efficiency, randomization, blocking, interaction, confounding, and resolution. The module will take you through planning and evaluating different types of experiments in DOE and various types of Lean methods you can use for process improvement, like waste elimination, cycle-time reduction, Kaizen, and others. Additionally, the module focuses on statistical process control (SPC) and other controls that help to streamline business processes. Finally, you will learn how to sustain process improvements using methods like documentation, training, and evaluation.
Peer review assignment
This is a peer-review assignment based on the concepts taught in the Advanced Statistical Analysis and Tools course. In this assignment, you have been provided with a real-life scenario. You must explain how you can use process capabilities and their related metrics in process improvement.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides methods to improve your quality credentials and demonstrates advanced quality management principles and concepts
Ideal for experienced individuals in process improvement, including those leading Six Sigma, lean, or other quality initiatives
Provides a comprehensive overview of statistical tools and techniques
Delves into advanced statistical concepts such as hypothesis testing and design of experiments
Covers real-world applications, including process improvement and quality management
Peer-review assignment allows students to apply their knowledge and collaborate with others
Save this course
Save Advanced Statistical Analysis and Tools to your list so you can find it easily later:
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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 Advanced Statistical Analysis and Tools with these
activities:
Practice using statistical software
Show steps
Practicing statistical software will help you be able to use the software more efficiently and accurately when completing assignments.
Browse courses on
Statistical Software
Show steps
-
Find a dataset and load it into statistical software
-
Conduct basic statistical analysis on the dataset
Watch tutorials on the statistical techniques covered in the course
Show steps
Watching tutorials will help you learn the theoretical aspects of the statistical concepts being applied.
Browse courses on
Statistical Analysis
Show steps
-
Search for tutorials on specific statistical techniques you are learning in the course
-
Watch the tutorials and take notes
Practice solving statistical problems
Show steps
Solving practice problems will help you understand how statistical analysis is applied to solve practical problems.
Browse courses on
Statistical Analysis
Show steps
-
Find practice problems in your course textbook or online
-
Solve the problems and check your answers against the provided solutions
Four other activities
Expand to see all activities and additional details
Show all seven activities
Join a study group or discussion forum
Show steps
Joining a study group will allow you to learn from and support others in the course.
Browse courses on
Statistical Analysis
Show steps
-
Find a study group or discussion forum related to the course
-
Participate in discussions and ask questions
Participate in a Six Sigma competition or hackathon
Show steps
Participating in a competition will help you apply the knowledge and skills you have learned in the course to solve real-world problems.
Browse courses on
Six Sigma
Show steps
-
Find a Six Sigma competition or hackathon that aligns with your interests
-
Team up with other students or professionals to form a team
-
Develop a solution to the competition problem
-
Present your solution to a panel of judges
Volunteer in a quality improvement project
Show steps
Volunteering will allow you to apply your knowledge and skills to make a real difference in an organization.
Browse courses on
Quality Improvement
Show steps
-
Find a quality improvement project that you are passionate about
-
Contact the organization and express your interest in volunteering
-
Work with a team to implement a quality improvement project
-
Present your results to the organization
Mentor other students in the course
Show steps
Mentoring others will help you solidify your understanding of the course material.
Browse courses on
Statistical Analysis
Show steps
-
Identify a student who is struggling with the course material
-
Offer your help and provide guidance
-
Review the course material with the student and answer their questions
-
Encourage the student to participate in class and ask questions
Practice using statistical software
Show steps
Practicing statistical software will help you be able to use the software more efficiently and accurately when completing assignments.
Browse courses on
Statistical Software
Show steps
Show steps
Show steps
- Find a dataset and load it into statistical software
- Conduct basic statistical analysis on the dataset
Watch tutorials on the statistical techniques covered in the course
Show steps
Watching tutorials will help you learn the theoretical aspects of the statistical concepts being applied.
Browse courses on
Statistical Analysis
Show steps
Show steps
Show steps
- Search for tutorials on specific statistical techniques you are learning in the course
- Watch the tutorials and take notes
Practice solving statistical problems
Show steps
Solving practice problems will help you understand how statistical analysis is applied to solve practical problems.
Browse courses on
Statistical Analysis
Show steps
Show steps
Show steps
- Find practice problems in your course textbook or online
- Solve the problems and check your answers against the provided solutions
Four other activities
Expand to see all activities and additional details
Show all seven activities
Join a study group or discussion forum
Show steps
Joining a study group will allow you to learn from and support others in the course.
Browse courses on
Statistical Analysis
Show steps
Show steps
Show steps
- Find a study group or discussion forum related to the course
- Participate in discussions and ask questions
Participate in a Six Sigma competition or hackathon
Show steps
Participating in a competition will help you apply the knowledge and skills you have learned in the course to solve real-world problems.
Browse courses on
Six Sigma
Show steps
Show steps
Show steps
- Find a Six Sigma competition or hackathon that aligns with your interests
- Team up with other students or professionals to form a team
- Develop a solution to the competition problem
- Present your solution to a panel of judges
Volunteer in a quality improvement project
Show steps
Volunteering will allow you to apply your knowledge and skills to make a real difference in an organization.
Browse courses on
Quality Improvement
Show steps
Show steps
Show steps
- Find a quality improvement project that you are passionate about
- Contact the organization and express your interest in volunteering
- Work with a team to implement a quality improvement project
- Present your results to the organization
Mentor other students in the course
Show steps
Mentoring others will help you solidify your understanding of the course material.
Browse courses on
Statistical Analysis
Show steps
Show steps
Show steps
- Identify a student who is struggling with the course material
- Offer your help and provide guidance
- Review the course material with the student and answer their questions
- Encourage the student to participate in class and ask questions
Career center
Learners who complete Advanced Statistical Analysis and Tools will develop knowledge and skills
that may be useful to these careers:
Quality Control Analyst
Quality Control Analyst
Quality Control Analysts work closely with engineers and scientists to ensure that products and services meet quality standards. This course may be useful in this career role as it can help build a strong foundation in the statistical techniques needed for quality control. The course can also help candidates develop their problem-solving and analytical skills, which are essential for success in this field.
Process Engineer
Process Engineer
Process Engineers design and improve manufacturing processes. This course may be useful in this career role as it can help build a foundation in the statistical tools needed for process improvement. The course can also help candidates develop their problem-solving and analytical skills, which are essential for success in this field.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to help businesses make informed decisions. This course can help candidates develop the statistical skills needed for data analysis. The course can also help candidates develop their problem-solving and analytical skills, which are essential for success in this field.
Manufacturing Engineer
Manufacturing Engineer
Manufacturing Engineers design, develop, and implement manufacturing processes. This course may be useful in this career role as it can help build a foundation in the statistical tools needed for manufacturing. The course can also help candidates develop their problem-solving and analytical skills, which are essential for success in this field.
Quality Assurance Manager
Quality Assurance Manager
Quality Assurance Managers oversee the quality of products and services. This course may be useful in this career role as it can help build a foundation in the statistical tools needed for quality assurance. The course can also help candidates develop their problem-solving and analytical skills, which are essential for success in this field.
Reliability Engineer
Reliability Engineer
Reliability Engineers ensure the reliability of products and systems. This course may be useful in this career role as it can help build a foundation in the statistical tools needed for reliability engineering. The course can also help candidates develop their problem-solving and analytical skills, which are essential for success in this field.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. This course may be useful in this career role as it can help build a foundation in the statistical tools needed for project management. The course can also help candidates develop their problem-solving and analytical skills, which are essential for success in this field.
Business Analyst
Business Analyst
Business Analysts analyze business processes and data to identify opportunities for improvement. This course may be useful in this career role as it can help build a foundation in the statistical tools needed for business analysis. The course can also help candidates develop their problem-solving and analytical skills, which are essential for success in this field.
Consultant
Consultant
Consultants provide advice and guidance to businesses on a variety of topics, including quality management and process improvement. This course may be useful in this career role as it can help build a foundation in the statistical tools needed for consulting. The course can also help candidates develop their problem-solving and analytical skills, which are essential for success in this field.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to help businesses make informed decisions. This course may be useful in this career role as it can help build a foundation in the statistical tools needed for statistics. The course can also help candidates develop their problem-solving and analytical skills, which are essential for success in this field.
Data Scientist
Data Scientist
Data Scientists use data to develop and implement solutions to business problems. This course may be useful in this career role as it can help build a foundation in the statistical tools needed for data science. The course can also help candidates develop their problem-solving and analytical skills, which are essential for success in this field.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models to solve business problems. This course may be useful in this career role as it can help build a foundation in the statistical tools needed for machine learning. The course can also help candidates develop their problem-solving and analytical skills, which are essential for success in this field.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course may be useful in this career role as it can help build a foundation in the statistical tools needed for software engineering. The course can also help candidates develop their problem-solving and analytical skills, which are essential for success in this field.
Product Manager
Product Manager
Product Managers plan and execute the development of products. This course may be useful in this career role as it can help build a foundation in the statistical tools needed for product management. The course can also help candidates develop their problem-solving and analytical skills, which are essential for success in this field.
Marketing Analyst
Marketing Analyst
Marketing Analysts analyze marketing data to help businesses make informed decisions. This course may be useful in this career role as it can help build a foundation in the statistical tools needed for marketing analysis. The course can also help candidates develop their problem-solving and analytical skills, which are essential for success in this field.
For more career information including salaries, visit:
OpenCourser.com/course/1kkx8l/advanced
Reading list
We've selected seven 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
Advanced Statistical Analysis and Tools .
Provides a comprehensive overview of the quality engineering profession. It covers all of the topics that are needed to successfully implement quality engineering in a manufacturing environment.
Save
Provides a practical guide to using quality tools and methods for continuous improvement. It covers a wide range of topics, including process mapping, statistical process control, and design of experiments. It valuable resource for anyone who wants to learn more about how to use quality tools and methods to improve quality.
Comprehensive textbook on statistical quality control that covers a wide range of topics, including process capability analysis, hypothesis testing, and control charts. It valuable resource for anyone who wants to learn more about the statistical tools and techniques used in Six Sigma.
Provides a practical guide to using statistical methods for quality improvement. It covers a wide range of topics, including process capability analysis, hypothesis testing, and control charts. It valuable resource for anyone who wants to learn more about how to use statistical methods to improve quality.
Provides a thorough introduction to the design of experiments (DOE). It covers the basic principles of DOE, as well as more advanced topics such as fractional factorial designs and response surface methodology. It valuable resource for anyone who wants to learn more about how to design and conduct experiments.
Provides a quick reference guide to 100 Lean Six Sigma tools. It valuable resource for anyone who wants to learn more about the tools and techniques used in Six Sigma.
Provides a simplified overview of Six Sigma that is easy to understand for beginners. It valuable resource for anyone who wants to learn more about the basics of Six Sigma.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/1kkx8l/advanced
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Effort
4 weeks of study; Overall 5 to 6 learner hours of engagement
Level
Intermediate
Via
Coursera
Institution
SkillUp EdTech
Instructors
Skill-Up EdTech Team
E R Suresh Narain
Language
English
This course belongs to a
collection
called
ASQ-Certified Six Sigma Black Belt (CSSBB) Exam Prep. It's comprised of three courses:
- Leadership and Team Management
- Advanced Statistical Analysis and Tools (viewing)
- Six Sigma for Process Improvement
Good to know
Provides methods to improve your quality credentials and demonstrates advanced quality management principles and concepts
Ideal for experienced individuals in process improvement, including those leading Six Sigma, lean, or other quality initiatives
Provides a comprehensive overview of statistical tools and techniques
Delves into advanced statistical concepts such as hypothesis testing and design of experiments
Covers real-world applications, including process improvement and quality management
Peer-review assignment allows students to apply their knowledge and collaborate with others
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