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Analytics and machine learning course

Analytics and machine learning course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

This course equips you with skills to transform raw data into precise decisions using analytics and machine learning. You'll master framing prediction objectives, preparing data through cleaning and feature engineering, analysing revenue drivers, returns, and delivery metrics, training and validating models with appropriate measures, and deploying solutions with clear reports that deliver tangible business results.

Elevify advantages

Develop skills

  • Frame business ML problems by converting BI queries into specific, measurable prediction targets.
  • Prepare data for ML by cleaning, encoding, and engineering features to support reliable business models.
  • Train and tune ML models, including validation and calibration for effective business intelligence applications.
  • Analyse business impact by connecting model performance to KPIs such as revenue, returns, and delivery.
  • Create stakeholder ML reports that deliver clear insights and recommendations in a business intelligence format.

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.
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 my interest without needing to change platforms... I thank you 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 help a lot with learning.
André Felipe
André FelipePrompt Engineering Student

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