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Industrial Data Analytics training

Industrial Data Analytics training
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

Industrial Data Analytics Training shows you how to turn raw CNC production data into clear, actionable insights. Learn time series and downtime analysis, bottleneck detection, scrap and quality metrics, hypothesis testing, and regression. Build reliable pipelines, practical dashboards, and concise reports that drive process improvements, reduce losses, and support confident, data-driven decisions on the shop floor.

Elevify advantages

Develop skills

  • Industrial time series mastery: clean, align, and validate CNC production data fast.
  • Descriptive analytics for BI: reveal scrap, downtime, and cycle time patterns quickly.
  • Statistical tests for factories: prove scrap, shift, and process changes with rigor.
  • Time series and bottleneck analysis: expose constraints and downtime root causes.
  • BI-ready dashboards: build OEE, scrap, and cycle KPIs with automated refresh.

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 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 switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
André Felipe
André FelipePrompt Engineering Student

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