Linear Models Course
This course equips you to master linear models from preparation to real-world use. Build, assess, and interpret strong regressions, manage bias and uncertainty, and convert statistical outputs into straightforward business insights that drive decisions effectively.

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 workloadWhat our students say
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