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Data mining training

Data mining training
from 4 to 360h flexible workload
certificate valid in your country

What will I learn?

This course equips you with hands-on skills to clean real-world datasets, engineer effective features, and uncover engagement patterns through clear visualisations. Master clustering, association rules, and predictive modelling, then convert findings into actionable personas, prioritised recommendations, A/B test strategies, and succinct executive summaries to enhance performance and decision-making right away.

Elevify advantages

Develop skills

  • Data cleaning for user behaviour: swiftly correct messy logs for dependable analysis.
  • Feature engineering for engagement: rapidly develop churn, recency, and intensity metrics.
  • Practical clustering and segmentation: create behavioural personas that spur decisions.
  • Fast association and predictive models: reveal patterns explaining user completion.
  • Insight communication for executives: convert complex patterns into clear, reliable decisions.

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 purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful 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 way videos are presented and transcribed, 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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