Who is this course for?

Beginners, business professionals, quality teams, and process improvement practitioners looking to build measurement and analysis skills using Lean Six Sigma.

What will I be able to do after completing this course?

Define and map processes, analyse data using Six Sigma statistics, validate measurement systems, and assess process capability to support data-driven improvement decisions.

What topics are covered in the course?

Six Sigma Measure phase, process mapping (SIPOC, process maps), Value Stream Mapping, X-Y diagrams, FMEA, Six Sigma statistics, Measurement System Analysis (Gage R&R, Attribute Agreement Analysis), and process capability (DPU, DPMO).

Are there any prerequisites for this course?

No prior Six Sigma or advanced statistical knowledge is required. This is a beginner-level course.

Will I receive a certificate after completion?

Yes, you’ll earn a certificate validating your ability to apply Lean Six Sigma Measure phase concepts, analyse data, and evaluate process performance.

When will I have access to the lectures and assignments?

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Measuring and Analyzing Process Performance Training

Measuring and Analyzing Process Performance Training

This course is part of Six Sigma Yellow Belt Exam Prep Certification Specialization

Instructor: Priyanka Mehta

Included with

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4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

No prior experience required

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

No prior experience required

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Define and map processes using the Six Sigma Measure phase and core tools
Analyse data using Six Sigma statistics, charts, and distributions
Validate data accuracy and reliability through Measurement System Analysis
Assess process capability to evaluate variation and performance gaps

Details to know

Shareable certificate

Add to your LinkedIn profile

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Build your subject-matter expertise

This course is part of the Six Sigma Yellow Belt Exam Prep Certification Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

This measuring and analyzing process performance training develops strong skills in defining, measuring, and analysing processes to enable accurate, data-driven improvement. You learn the Measure phase and key tools such as SIPOC, process maps, cause-and-effect analysis, Value Stream Mapping, and FMEA to identify risks and performance gaps. The course also covers Six Sigma statistics, Measurement System Analysis, and process capability techniques to assess variation, reliability, and short- and long-term performance, enabling confident, evidence-based improvement decisions.

By the end of this course, you will be able to: - Apply Measure Phase Tools: Define, map, and analyse processes using SIPOC, process maps, and risk analysis tools - Use Six Sigma Statistics: Analyse data using basic metrics, charts, and distributions - Validate Measurement Systems: Assess data accuracy and reliability using MSA, Gage R&R, and attribute studies - Assess Process Capability: Evaluate process performance and variation to support improvement decisions No prior advanced statistical knowledge required; ideal for professionals looking to strengthen measurement, analysis, and data-driven improvement skills in Lean Six Sigma projects.

Module details

Explore the Six Sigma Measure phase to define, map, and analyse processes. Learn Measure phase objectives and tools to document processes effectively. Create cause-and-effect and fishbone diagrams, build process maps at multiple levels, and use SIPOC for end-to-end visibility. Apply Value Stream Maps, X-Y diagrams, and FMEA to identify risks, relationships, and performance gaps, enabling accurate measurement and data-driven improvement.

What's included

17 videos1 reading4 assignments

17 videosTotal 41 minutes

Introduction to Measure Phase1 minute
Learning Objectives0 minutes
Tools to Define a Process1 minute
Cause-and-Effect Diagram1 minute
Drawing a Fishbone Diagram2 minutes
Process Mapping2 minutes
Creating a Process Map3 minutes
Process Mapping Levels2 minutes
Four Types of Process Maps1 minute
SIPOC Process Map3 minutes
Value Stream Maps3 minutes
Value Stream Map: Key Metrics 4 minutes
X-Y Diagrams or Scatter Plots7 minutes
Failure Mode and Effects Analysis (FMEA) 3 minutes
FMEA Process2 minutes
FMEA Template5 minutes
Key Takeaways1 minute

1 readingTotal 10 minutes

Course Syllabus10 minutes

4 assignmentsTotal 145 minutes

Quiz on Understanding the Measure Phase15 minutes
Quiz on Process Mapping and Visualization15 minutes
Quiz on Advanced Process Analysis Tools55 minutes
Assessment for Process Definition60 minutes

Explore Six Sigma statistics to build a foundation in data and measurement. Learn data types, measurement scales, basic statistics, and measures of central tendency and dispersion. Use graphical analysis tools such as box plots and time series plots with practical Minitab demos. Understand normal and standard normal distributions, perform normality tests, and interpret results to support accurate, data-driven decisions.

What's included

16 videos4 assignments

16 videosTotal 48 minutes

Learning Objectives1 minute
Data4 minutes
Measurement Scales2 minutes
Basic Statistics4 minutes
Measures of Central Tendency3 minutes
Measures of Dispersion2 minutes
Graphical Analysis1 minute
Graphical Analysis Tools3 minutes
Demo: Introduction to Minitab 14 minutes
Demo: Box Plot One Variable2 minutes
Demo: Box Plot with Three Variables1 minute
Demo: Time Series Plot2 minutes
Normal Distribution 2 minutes
Standard Normal Distribution3 minutes
Demo: Normality Test2 minutes
Key Takeaways1 minute

4 assignmentsTotal 145 minutes

Quiz on Fundamentals of Data and Measurement15 minutes
Quiz on Graphical and Statistical Analysis15 minutes
Quiz on Understanding Normality55 minutes
Assessment for Six Sigma Statistics60 minutes

Explore Measurement System Analysis to evaluate the accuracy and reliability of data in Six Sigma projects. Learn MSA fundamentals, measurement errors, and sources of variation. Assess repeatability, reproducibility, accuracy, bias, stability, and linearity. Perform MSA studies using Gage R&R and Attribute Agreement Analysis, with practical demonstrations for continuous and attribute data, to ensure measurement systems support valid analysis and confident decision-making.

What's included

19 videos4 assignments

19 videosTotal 25 minutes

Learning Objectives0 minutes
Measurement System Analysis: Overview2 minutes
Good and Poor Measurement System Analysis2 minutes
Measurement Error: Categories2 minutes
MSA: Sources of Variation1 minute
Repeatability1 minute
Reproducibility 1 minute
Accuracy1 minute
Bias0 minutes
Stability1 minute
Linearity1 minute
Types of MSA1 minute
Gage R&R Study2 minutes
Gage R&R: Ground Rules1 minute
Demo: Gage R&R Continuous Data2 minutes
Attribute Agreement Analysis (AAA)2 minutes
Attribute Gage Study1 minute
Demo: Gage R&R Attribute Data2 minutes
Key Takeaways1 minute

4 assignmentsTotal 145 minutes

Quiz on Overview of MSA15 minutes
Quiz on Assessing Measurement Accuracy and Consistency15 minutes
Quiz on Performing MSA Studies55 minutes
Assessment for Measurement System Analysis60 minutes

Explore Process Capability to assess how well processes meet performance requirements. Learn process capability concepts, data types, and how to establish reliable performance baselines. Understand components of variation and process stability. Apply process capability indices and perform capability analysis using continuous and attribute data, including DPU, DPMO, and sigma levels. Evaluate short- and long-term process performance to drive data-driven improvement decisions.