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data mining training

data mining training
4 to 360 hours flexible workload
valid certificate in your country

What will I learn?

Data Mining Training equips you with hands-on skills to clean real-world datasets, create effective features, and uncover engagement patterns using clear visualisations. Master clustering, association rules, and predictive modelling, then convert findings into user personas, targeted recommendations, A/B testing strategies, and succinct executive summaries for immediate application to enhance performance and decision-making.

Elevify advantages

Develop skills

  • Data cleaning for user behaviour: swiftly resolve messy logs for dependable analysis.
  • Feature engineering for engagement: rapidly develop churn, recency, and intensity metrics.
  • Clustering and segmentation: create actionable behavioural personas.
  • Association rules and predictive modelling: identify patterns explaining user completion.
  • Insight communication for executives: convert complex patterns into trusted, clear 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 classes are perfect. I got the one-year package and finally have the chance to follow a range of 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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