Intro To Data Science Course
This course offers a practical introduction to data science, covering data cleaning, feature engineering, model building, evaluation, and reproducible reporting.
from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
This Introduction to Data Science Course provides a quick, hands-on route from unprocessed data to straightforward, usable insights. You'll learn to load, check, and tidy datasets, create and choose features, and develop basic predictive models such as logistic regression, decision trees, and k-NN. You'll assess performance using actual measures, produce repeatable notebooks and reports, and share results, limitations, and future actions with assurance and precision.
Elevify advantages
Develop skills
- Build basic classifiers: train logistic, tree, and k-NN models that function properly.
- Clean actual datasets quickly: correct data types, outliers, and missing values confidently.
- Create improved features: scale, encode, and select indicators that enhance accuracy.
- Assess models effectively: apply AUC, F1, and confusion matrices for business relevance.
- Produce repeatable work: organise notebooks, store models, and prepare 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 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 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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