Linear Models Course
Master linear models from preparation to deployment in this comprehensive Linear Models Course. Designed for statistics experts, it equips you to construct, assess, and interpret strong regression models, address bias and uncertainty, and convert statistical coefficients into straightforward, actionable business insights that drive real results.
from 4 to 360h flexible workload
certificate valid in your country
What will I learn?
Gain a practical route to creating dependable predictive models through this Linear Models Course. Delve into 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 implications for informed decisions.
Elevify advantages
Develop skills
- Develop strong linear models swiftly with OLS, regularisation, and feature engineering techniques.
- Identify and resolve model problems including residuals, multicollinearity, outliers, and robustness checks.
- Assess model performance using R-squared, RMSE, AIC/BIC, cross-validation, and confidence intervals.
- Present findings clearly by interpreting coefficients, quantifying uncertainty, and linking to business value.
- Adopt a deployment-focused approach with monitoring, drift detection, retraining strategies, 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.What our students say
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