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Statistical Tools Course

Statistical Tools Course
from 4 to 360h flexible workload
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'll create practical defect taxonomies, develop solid time-series datasets, perform targeted Pareto analyses, and convert control chart signals into straightforward corrective actions, strong control plans, and sustained process enhancements.

Elevify advantages

Develop skills

  • Build, calculate, 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 models mimicking assembly-line production scenarios.
  • Connect SPC signals and Pareto findings to targeted 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 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 lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
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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Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
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Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
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André FelipePrompt Engineering Student

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