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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?

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. Craft practical defect classifications, assemble 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 with speed and confidence.
  • Conduct Pareto analysis to prioritize defect types and focus on high-impact 80/20 opportunities.
  • Design realistic defect data reflecting assembly-line scenarios 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 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

As suas aulas são perfeitas. Adquiri o pacote de um ano e, finalmente, tenho a oportunidade de acompanhar diversos temas do meu interesse sem precisar mudar de plataforma... agradeço por tudo o que fazem, já recomendei vocês a outras pessoas...
Giulio Carlo
Giulio CarloAluno de Marketing Digital
Eu gosto de como as lições são direto ao ponto e como eu consigo alterar capítulos e pular conteúdos que não preciso.
Mariana Ferres
Mariana FerresAluna de Fotografia
Gosto do conteúdo e do modo de apresentação e transcrição de vídeos, o que acelera o processo!
Luciana Alvarenga
Luciana AlvarengaAluna de Design de Unhas
A plataforma é rápida, simples de usar. A diversidade de conteúdo e os vídeos complementares ajudam muito no aprendizado.
Giulio Carlo
Giulio CarloAluno de Engenharia de Prompt

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