Intro To Data Science Course
Master data loading, cleaning, EDA, feature engineering, and simple predictive models. This Intro to Data Science Course helps tech professionals turn raw data into clear insights, better decisions, and measurable business impact.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Intro to Data Science Course gives you a fast, practical path 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 workloadWhat 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 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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