Free Online GLMs Courses & MOOCs

Coursera

University of Colorado Boulder

Generalized Linear Models and Nonparametric Regression (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of advanced statistical modeling with this specialized course. Learn about generalized linear models, logistic regression for classification, nonparametric methods like kernel estimators and smoothing splines, and semi-parametric generalized additive models (GAMs). This course is designed to provide a strong conceptual foundation in these complex yet powerful tools essential for data scientists.

Jun 8th 2026

4 Weeks

Calculus Linear Algebra Linear Models

Coursera

Illinois Tech

Variable Selection, Model Validation, Nonlinear Regression (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of advanced statistical modeling with 'Variable Selection, Model Validation, Nonlinear Regression' on Coursera. This course is designed for those with a technical background in mathematics, statistics, computer science, or engineering looking to transition into data-driven careers across various industries including finance, retail, tech, healthcare, and more. Learn essential skills in variable selection, model validation, and nonlinear regression to unlock endless opportunities.

Jun 8th 2026

4 Weeks

Statistics Probability Logistic Regression

Advanced Statistical Inference and Modelling Using R (edX)

EdX

University of Canterbury,UCx

Advanced Statistical Inference and Modelling Using R (edX)

Sci: Mathematics Statistics & Data Analysis

Expand your understanding of statistical analysis by delving into Advanced Statistical Inference and Modelling Using R. This course is designed for those who have a foundational grasp of linear regression and wish to apply their skills to more complex scenarios involving binary, count, or categorical responses, along with hierarchical experiments. Learn from experts and enhance your ability to perform advanced statistical analyses using the powerful programming language R.

Self Paced

Self-Paced

Modeling Data Analysis Linear Regression