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Machine Learning for Business Course

Machine Learning for Business Course
from 4 to 360h flexible workload
certificate valid in your country

What will I learn?

The Machine Learning for Business Course teaches you how to frame customer churn and discount targeting problems, link models to revenue, margin, and customer lifetime value, and design high-impact use cases. You will work with real customer, behavioural, and marketing data, build practical features, select the right metrics, and convert model outputs into tested, governed actions that safeguard privacy and deliver measurable uplift.

Elevify advantages

Develop skills

  • Frame ML churn and discount problems that directly boost revenue and customer lifetime value.
  • Engineer high-impact churn and promo features from BI, behavioural, and RFM data.
  • Evaluate ML models with AUC and uplift, linked to margin and retention KPIs.
  • Turn model scores into targeted offers, tests, and playbooks that increase profit.
  • Communicate ML results, risks, and ROI clearly to non-technical stakeholders.

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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