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Data Science and Machine Learning Course

Data Science and Machine Learning Course
4 to 360h flexible workload
certificate valid in your country

What will I learn?

This Data Science and Machine Learning Course shows you how to explore real datasets, clean and engineer powerful features, and design robust train/test splits and cross-validation. You will practice building and tuning tree-based and linear models, handling imbalance, and evaluating results with the right metrics. Learn to explain model behaviour, communicate impact, and deliver clear, reproducible work that drives measurable results.

Elevify advantages

Develop skills

  • Advanced feature engineering: build powerful churn signals in days, not weeks.
  • Robust model training: select and tune tree and linear models with Python libs fast.
  • Time-aware validation: design temporal splits and cross-validation for real data.
  • Model explainability: use SHAP and feature importance to justify decisions clearly.
  • Business-first analytics: turn model outputs into ROI-focused churn actions quickly.

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 are saying

Your classes 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... 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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