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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 teaches converting raw CNC production data into actionable insights. Cover time series and downtime analysis, bottleneck identification, scrap and quality metrics, hypothesis testing, and regression. Develop reliable data pipelines, practical dashboards, and reports that enhance processes, minimise losses, and enable data-driven shop floor decisions.

Elevify advantages

Develop skills

  • Industrial time series expertise: clean, align, and validate CNC production data quickly.
  • Descriptive analytics for business intelligence: uncover scrap, downtime, and cycle time patterns fast.
  • Statistical testing for factories: validate scrap, shift, and process changes rigorously.
  • Time series and bottleneck analysis: identify constraints and downtime root causes.
  • Business intelligence dashboards: create OEE, scrap, and cycle KPIs with automated updates.

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 purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to switch 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 really help with learning.
André Felipe
André FelipePrompt Engineering Student

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