Statistical Process Control Course
This course equips participants with essential Statistical Process Control (SPC) techniques to monitor, analyze, and improve process quality through data-driven methods, including control charts, capability analysis, and control planning.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This Statistical Process Control Course provides practical skills to define key quality characteristics, plan efficient data collection, and create realistic datasets for analysis. Learn to select and calculate appropriate control charts, interpret signals, assess process capability using Cp and Cpk, and develop robust control plans that trigger corrective actions, reduce variation, and maintain long-term performance.
Elevify advantages
Develop skills
- SPC data collection design: plan samples, subgroups, and MSA for quick detection.
- Control chart mastery: choose, calculate, and interpret X-bar, MR, p, and c charts.
- Process capability analysis: compute Cp/Cpk and evaluate specs, normality, and limits.
- Root-cause diagnosis: read chart signals and connect patterns to actual process issues.
- Sustainable SPC control: build control plans, dashboards, and ongoing reviews.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.

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