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Statistical Tools Course

Statistical Tools Course
4 to 360 hours flexible workload
valid certificate in your country

What will I learn?

Gain hands-on skills in managing defect data using p, u, np, and c charts, applying Western Electric and Nelson rules, and steering clear of typical calculation pitfalls. Learn to create practical defect classifications, assemble reliable time-series datasets, conduct targeted Pareto analyses, and convert control chart alerts into straightforward corrective measures, solid control strategies, and sustained process enhancements.

Elevify advantages

Develop skills

  • Build, compute, and interpret p, u, np, and c charts for defects quickly and accurately.
  • Conduct Pareto analysis to prioritise defect types and apply 80/20 rule for focused targets.
  • Design realistic defect data mimicking assembly-line issues and production trends.
  • Connect SPC signals and Pareto findings to effective root cause action plans.
  • Develop control plans to monitor actions, confirm results, and maintain quality improvements.

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.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I got the one-year package and finally have the chance to follow a range of topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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