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.
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
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
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Recently updated!
February 2026
Taught in English
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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
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
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
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
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.
What's included
20 videos5 assignments
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Frequently asked questions
Beginners, business professionals, quality teams, and process improvement practitioners looking to build measurement and analysis skills using Lean Six Sigma.
Define and map processes, analyse data using Six Sigma statistics, validate measurement systems, and assess process capability to support data-driven improvement decisions.
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).
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