Data Science Foundations: Data Mining Course
This course introduces data mining using real-world mining data, covering data ingestion, cleaning, exploratory analysis, visualization, association rules, clustering, and classification to derive actionable insights for safety and performance.
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Get the hang of data mining through a practical course using real mining data. Learn how to take in data, check it, and clean it up, then dive into exploratory analysis, charts, association rules, grouping, and sorting. Create solid features, use strong checks, and grasp basic setup so you can quickly turn tricky data into straightforward insights for safety and performance.
Elevify advantages
Develop skills
- Clean up mining data flows: check structures, sort out odd bits, and fill in missing parts quickly.
- Spot danger patterns: use association rules to find hidden safety factors.
- Group mining activities: apply clustering to mark high-risk, big-impact spots.
- Create safety sorters: train, adjust, and explain models for predicting incidents.
- Design mining features: 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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