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Principal Component Analysis Course

Principal Component Analysis Course
4 to 360 hours flexible workload
valid certificate in your country

What will I learn?

Gain expertise in dimensionality reduction through Principal Component Analysis. Master data cleaning, feature selection, efficient PCA on big data, interpreting loadings, visualising results, and comparing with t-SNE and UMAP for production pipelines.

Elevify advantages

Develop skills

  • Clean and preprocess data for PCA using scaling, imputation and encoding.
  • Select key principal components via scree plots, variance and parallel analysis.
  • Interpret PCA loadings and rotations for actionable business insights.
  • Implement PCA in Python with scikit-learn for scalable analysis.
  • Compare PCA against t-SNE and UMAP to pick the best method.

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.
Workload: between 4 and 360 hours

What our students say

Your lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful for everything you do, I've already recommended you to other people...
Giulio Carlo
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 Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
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Luciana AlvarengaNail Design Student
The platform is fast and simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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