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Linear Models Course

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

What will I learn?

Gain practical skills to create reliable predictive models using linear methods. Explore data preparation, feature engineering, fitting simple, multiple, and regularised regressions with Python or R. Master model validation, assumption checks, outlier and missing data handling, plus communicating results, uncertainty, and business value for informed decisions.

Elevify advantages

Develop skills

  • Build strong linear models using quick OLS, regularisation, and feature creation.
  • Identify model problems like residuals, multicollinearity, outliers, and stability.
  • Assess models with R-squared, RMSE, AIC/BIC, cross-validation, and confidence intervals.
  • Present findings by explaining coefficients, uncertainty, and business relevance.
  • Adopt deployment practices including monitoring, drift detection, retraining, and ethical application.

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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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

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