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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

I was just promoted to Intelligence Advisor for the Prison System, and the course from Elevify was crucial for me to be chosen.
EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Great course. Lots of valuable information.
WiltonCivil Firefighter

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