Computer Data Science Course
This course provides hands-on experience in data science, focusing on cleaning, feature engineering, modeling for churn prediction, building reproducible pipelines, and communicating insights effectively.

from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
The Computer Data Science Course teaches you how to load real-world data, validate formats, and quickly spot issues before they mess up your analysis. You will clean and create strong features, do targeted exploratory analysis, and build churn prediction models with useful metrics. Lastly, you design repeatable pipelines and change model results into straightforward, practical recommendations and simple A/B tests.
Elevify advantages
Develop skills
- Practical data cleaning: fix missing values, types, and outliers quickly.
- Feature engineering for churn: create behavioural, time-based, and usage signals.
- Hands-on churn modelling: train, tune, and assess logistic and tree models.
- Reproducible ML pipelines: automate ingest, clean, featurise, and train steps.
- Data storytelling for stakeholders: turn model outputs into clear action plans.
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.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... thank you for everything you do, I've already recommended you to others...

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 FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!

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 CarloPrompt Engineering Student
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