Linear Models Course
This course equips you to master linear models from preparation to deployment. Build, diagnose, and interpret robust regressions, manage bias and uncertainty, and convert statistical outputs into practical business insights for statistics professionals seeking real-world impact.

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.What our students say
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