Linear Algebra for Data Science Course
This course equips data scientists with essential linear algebra techniques for building and optimizing predictive models in business intelligence contexts, covering feature engineering, model interpretation, multicollinearity detection, PCA application, and production monitoring.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This Linear Algebra for Data Science Course gives you practical tools to build, understand, and improve predictive models. Learn how to construct feature matrices, apply linear models, interpret weights, detect redundancy, and use PCA for dimensionality reduction. You will also practice regularization, error analysis, and deployment checks, gaining skills you can apply immediately to real data projects.
Elevify advantages
Develop skills
- Build feature matrices: turn BI tables into clean X and y for modelling fast.
- Model with matrices: express, fit, and interpret linear models for BI KPIs.
- Detect multicollinearity: use XᵀX, VIF, and SVD to find redundant BI features.
- Apply PCA in BI: reduce dimensions, stabilise models, and speed up training.
- Monitor models in production: track drift, retrain, and explain results to stakeholders.
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 classes are perfect. I got the one-year package and finally have the chance to follow a range of topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...

Giulio CarloDigital Marketing Student
I like how the lessons get straight to the point and how I can switch chapters and skip content I don't need.

Mariana FerresPhotography Student
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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 CarloPrompt Engineering Student
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