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Data Science Foundations: Data Mining Course

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

What will I learn?

Master the key aspects of data mining through a practical course using real operational data from mining. Learn how to take in data, check it, and clean it up, then dive into exploratory data analysis, charts, association rules, grouping, and classifying. Create strong features, use solid checks, and grasp basic deployment to quickly change complex data into clear insights for safety and performance in mining operations.

Elevify advantages

Develop skills

  • Clean data pipelines for mining: check structures, sort out odd values, and fill missing parts quickly.
  • Find risk patterns: use association rules to reveal hidden factors affecting safety.
  • Group mining activities: apply clustering to identify high-risk, high-effect areas.
  • Develop safety predictors: train, adjust, and explain models to forecast incidents.
  • Design mining features: build strong signals based on time, location, and operations.

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 lessons 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... I appreciate everything you do, and 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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