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Data Science Foundations: Data Mining Course

Data Science Foundations: Data Mining Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

Master the key principles of data mining through a practical course using real operational data from mining. Learn to ingest, validate, and clean data, then dive into exploratory data analysis, visualisation, association rules, clustering, and classification. Develop solid features, use strong evaluation methods, and grasp basic deployment to quickly transform complex data into straightforward insights for safety and performance in mining operations.

Elevify advantages

Develop skills

  • Clean mining data pipelines: validate schemas, fix outliers, and impute gaps quickly.
  • Discover risk patterns: apply association rules to uncover hidden safety drivers.
  • Segment mine operations: use clustering to flag high-risk, high-impact sites.
  • Build safety classifiers: train, tune, and explain models for incident prediction.
  • Engineer mining features: create robust time-based, spatial, and operational signals.

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 got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get 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 the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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