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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 dependable predictive models through data exploration, feature engineering, and fitting basic, multiple, and regularised regression using Python or R. Master model validation, assumption checks, outlier and missing data management, plus effective communication of results, uncertainty, and business value for informed decisions.

Elevify advantages

Develop skills

  • Develop strong linear models with quick OLS, regularisation, and smart feature engineering.
  • Spot and fix model problems like residuals, multicollinearity, outliers, and stability issues.
  • Assess models using R-squared, RMSE, AIC/BIC, cross-validation, and confidence intervals.
  • Present findings clearly: explain coefficients, uncertainty levels, and business effects.
  • Adopt deployment-focused approach: track performance, detect drift, retrain models, and apply ethically.

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

I was just promoted to Intelligence Advisor for the Prison System, and the course from Elevify was crucial for me to be chosen.
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 valuable information.
WiltonCivil Firefighter

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