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DS Course

DS Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

Data Science Course offers a quick, hands-on journey from raw data to trustworthy predictions. Learn to set up a proper environment, load and check datasets, clean and create features, perform targeted exploratory data analysis and visualizations. Then, develop and assess regression and classification models, manage imbalanced data, explain outcomes, and produce straightforward reports and deployment-ready outputs for tangible business impact.

Elevify advantages

Develop skills

  • Build clean, reliable datasets by fixing missing data, outliers, and messy features.
  • Design and validate models by splitting data, tuning metrics, and avoiding data leakage.
  • Predict returns and order value using regression and classification on real sales data.
  • Turn analysis into action with clear reports and business-ready recommendations.
  • Monitor deployed models by tracking drift, scheduling retrains, and maintaining high performance.

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 purchased 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 extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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