This course will present measurement system analysis.

This course introduces process control and the basic types of data, such as qualitative and quantitative data, as well as measurement scales.

This course covers the different data types relevant to Lean Six Sigma projects.

This course explores how to identify, select and analyze Six Sigma projects in terms of inputs, outputs and stakeholders.

This course covers different Lean Six Sigma tools and techniques for calculating probability in process improvement initiatives.

This course explores how to interpret control charts and drive process improvement, process control and process design.

In this course, you’ll learn about some of the key tools used in exploratory data analysis in Lean and Lean Six Sigma.

In this course, you'll learn about the benefits of developing employees and assessing how their development needs can be addressed through organizational learning.

This course covers the data analysis and root cause analysis techniques used in Lean Six Sigma to implement process improvement.

In this course, you’ll explore the design of experiments (DOE) methodology.

This course covers common Lean Six Sigma control tools, such as control plans, used in business process improvement projects.

In this course, you’ll learn why it’s important for organizations to cultivate a culture of agility and the characteristics that distinguish an Agile mindset from a fixed mindset.