Data Science Foundations: Data Mining Course
This course introduces data mining fundamentals using real mining datasets, covering data ingestion, cleaning, exploratory analysis, visualization, association rules, clustering, feature engineering, validation, and basic model deployment to transform complex mining data into actionable insights for safety and operations.
from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
Get the hang of data mining basics through a practical course using real mine datasets. You'll pick up skills in bringing in data, checking it, and tidying it up, then dive into exploratory analysis, charts, association rules, grouping, and sorting data. Create solid features, use strong checks, and grasp the simple steps for putting models to work, so you can quickly change tricky mine data into straightforward insights for safety and operations.
Elevify advantages
Develop skills
- Clean up mine data flows: check formats, sort out odd values, and fill in missing bits quickly.
- Spot danger trends: use association rules to find hidden factors affecting safety.
- Group mine activities: apply clustering to highlight risky, important areas.
- Develop safety sorters: train, adjust, and make clear models for predicting accidents.
- Design mine signals: build strong time-related, location-based, and work 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.What our students say
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