Advanced Statistical Analysis and Tools from Coursera

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.

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.

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

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

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 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.

See salaries and explore the career path for Quality Control Analyst

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.

See salaries and explore the career path for Process Engineer

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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Manufacturing Engineer

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.

See salaries and explore the career path for Quality Assurance Manager

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.

See salaries and explore the career path for Reliability Engineer

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.

See salaries and explore the career path for Project Manager

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.

See salaries and explore the career path for Business Analyst

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.

See salaries and explore the career path for Consultant

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.

See salaries and explore the career path for Statistician

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Machine Learning 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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for Product Manager

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.

See salaries and explore the career path for Marketing Analyst

Advanced Statistical Analysis and Tools

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

Share

Similar courses