Intro To Data Science Course
This course offers a practical introduction to data science, covering data loading, cleaning, feature engineering, building predictive models, evaluation, and creating reproducible reports.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Introduction to Data Science Course provides a quick, hands-on route from raw data to clear, actionable insights. You will learn to load, check, and clean datasets, create and choose features, and develop simple predictive models such as logistic regression, decision trees, and k-NN. You will assess performance using actual metrics, produce reproducible notebooks and reports, and share results, limitations, and next steps with assurance and clarity.
Elevify advantages
Develop skills
- Build simple classifiers: train logistic, tree, and k-NN models that truly perform.
- Clean real datasets quickly: correct types, outliers, and missing values confidently.
- Engineer better features: scale, encode, and select signals that improve accuracy.
- Evaluate models wisely: apply AUC, F1, and confusion matrices for business value.
- Deliver reproducible work: organise notebooks, save models, and produce clear reports.
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 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 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 FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.

André FelipePrompt Engineering Student
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