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Linear Algebra for Data Science Course

Linear Algebra for Data Science Course
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

This course equips you with essential linear algebra skills for data science, teaching you to create feature matrices, implement linear models, analyse weights, spot redundant features, and leverage PCA to simplify data. You'll master regularization techniques, dissect errors, and verify deployments, applying these directly to live data tasks for immediate impact.

Elevify advantages

Develop skills

  • Build feature matrices from data tables into clean model inputs swiftly.
  • Apply matrix models to fit and interpret predictions for key metrics.
  • Spot multicollinearity using variance checks and decomposition techniques.
  • Use PCA to cut dimensions, steady models, and boost training speed.
  • Track live models for shifts, retrain as needed, and report to teams.

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

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The course was essential to meet my boss's and the company's expectations.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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