Log in
Choose your language

Principal Component Analysis Course

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

What will I learn?

Gain expertise in reducing data dimensions using Principal Component Analysis. Master data cleaning, preprocessing, feature selection, and efficient PCA on big datasets. Understand loadings, select components confidently, visualise for segmentation and modelling, and compare with t-SNE and UMAP for solid pipelines.

Elevify advantages

Develop skills

  • Clean and prepare data for PCA with scaling, filling gaps, and handling categories.
  • Pick best principal components via scree plots, variance checks, and parallel analysis.
  • Decode PCA loadings and rotations for straightforward business insights.
  • Use Python and scikit-learn to apply PCA swiftly on large-scale data.
  • Weigh PCA against t-SNE and UMAP to select ideal reduction techniques.

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

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

FAQs

Who is Elevify? How does it work?

Do the courses have certificates?

Are the courses free?

What is the course workload?

What are the courses like?

How do the courses work?

What is the duration of the courses?

What is the cost or price of the courses?

What is an EAD or online course and how does it work?

PDF Course