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Statistical Tools Course

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

What will I learn?

This course equips you with hands-on skills to manage defect data using p, u, np, and c charts, apply Western Electric and Nelson rules effectively, and steer clear of typical calculation pitfalls. You will create practical defect classifications, develop solid time-series datasets, perform targeted Pareto analyses, and convert control chart alerts into straightforward corrective measures, strong control strategies, and sustained process enhancements that deliver real results.

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 focus on the vital 80/20 opportunities.
  • Design realistic defect data mimicking assembly-line issues and production flows.
  • Connect SPC signals and Pareto findings to targeted root cause fixes.
  • Develop control plans to monitor actions, confirm results, and lock in quality improvements.

Suggested summary

Before starting, you can change the chapters and 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 several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are 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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