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Principal Component Analysis Course

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

What will I learn?

Gain expertise in Principal Component Analysis for effective dimensionality reduction. Master data cleaning, preprocessing, feature selection, and efficient PCA on large datasets. Learn to interpret loadings, select components confidently, visualize results for segmentation and modeling, and compare with t-SNE and UMAP while building production-ready pipelines.

Elevify advantages

Develop skills

  • Clean and encode data for PCA using robust scaling, imputation, and category handling.
  • Select optimal principal components with scree plots, variance, and parallel analysis.
  • Interpret PCA loadings and rotations to uncover business-ready factors.
  • Apply PCA in Python with scikit-learn for scalable dimensionality reduction.
  • Compare PCA with t-SNE and UMAP to select the best method.

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.
Workload: between 4 and 360 hours

What our students say

As suas aulas são perfeitas. Adquiri o pacote de um ano e, finalmente, tenho a oportunidade de acompanhar diversos temas do meu interesse sem precisar mudar de plataforma... agradeço por tudo o que fazem, já recomendei vocês a outras pessoas...
Giulio Carlo
Giulio CarloAluno de Marketing Digital
Eu gosto de como as lições são direto ao ponto e como eu consigo alterar capítulos e pular conteúdos que não preciso.
Mariana Ferres
Mariana FerresAluna de Fotografia
Gosto do conteúdo e do modo de apresentação e transcrição de vídeos, o que acelera o processo!
Luciana Alvarenga
Luciana AlvarengaAluna de Design de Unhas
A plataforma é rápida, simples de usar. A diversidade de conteúdo e os vídeos complementares ajudam muito no aprendizado.
Giulio Carlo
Giulio CarloAluno de Engenharia de Prompt

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