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Linear Models Course

Linear Models Course
flexible workload of 4 to 360h
valid certificate in your country

What will I learn?

Gain practical skills to create reliable predictive models using linear regression techniques. Learn data exploration, feature engineering, fitting simple, multiple, and regularized models with Python or R. Master model validation, assumption checks, outlier and missing data handling, and communicating results with uncertainty for business decisions.

Elevify advantages

Develop skills

  • Build strong linear models using OLS, regularization, and smart feature engineering.
  • Diagnose problems like residuals, multicollinearity, outliers, and model robustness.
  • Evaluate performance with R-squared, RMSE, AIC/BIC, cross-validation, and confidence intervals.
  • Communicate findings by explaining coefficients, uncertainty, and business implications.
  • Adopt deployment practices including monitoring, drift detection, retraining, and ethical considerations.

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

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EmersonPolice Investigator
The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Very great course. Lots of rich information.
WiltonCivil Firefighter

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