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Industrial Data Analytics training

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

What will I learn?

This training teaches how to convert 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, cut 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 manufacturing: validate scrap, shift, and process changes rigorously.
  • Time series and bottleneck analysis: identify constraints and root causes of downtime.
  • Business intelligence dashboards: create OEE, scrap, and cycle KPIs with automatic updates.

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 are saying

Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of 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 change chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the presentation style and video transcription, 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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