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Data Analysis and Artificial Intelligence Course

Data Analysis and Artificial Intelligence Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

Gain skills in data ingestion, validation, feature engineering, and targeted EDA for churn analysis. Master model selection, hyperparameter tuning, validation techniques, and business-oriented prediction evaluation. Learn to deploy models, integrate into workflows, and drive ethical decisions with data.

Elevify advantages

Develop skills

  • Build strong churn datasets by ingesting, cleaning, imputing, and monitoring data quality efficiently.
  • Create effective features from time, behaviour, and categorical data to improve model performance.
  • Train and optimise ML models addressing class imbalance, hyperparameters, and preventing data leakage.
  • Assess and interpret AI models using key metrics, SHAP values, and business insights.
  • Deploy churn prediction AI into production with scoring, A/B testing, and revenue-driven actions.

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 several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are 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 supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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