Intro To Data Science Course
This course offers a practical introduction to data science, covering data loading, cleaning, feature engineering, model building with logistic regression, decision trees, and k-NN, performance evaluation, and creating reproducible reports.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
Introduction to Data Science Course provides a quick, practical route from raw data to clear, actionable insights. Learn to load, inspect, and clean datasets, engineer and select features, and build simple predictive models like logistic regression, decision trees, and k-NN. You will evaluate performance with real metrics, create reproducible notebooks and reports, and communicate results, limitations, and next steps with confidence and clarity.
Elevify Advantages
Develop Skills
- Build simple classifiers: train logistic, tree, and k-NN models that actually work.
- Clean real datasets fast: fix types, outliers, and missing values with confidence.
- Engineer better features: scale, encode, and select signals that boost accuracy.
- Evaluate models smartly: use AUC, F1, and confusion matrices for business impact.
- Deliver reproducible work: tidy notebooks, saved models, and clear reports.
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.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 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 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 really help with learning.

André FelipePrompt Engineering Student
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