Generalized Linear Models Courses and Certifications

Generalized Linear Models in R

200 ratings at DataCamp

Linear regression serves as a workhorse of statistics, but cannot handle some types of complex data.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Generalized Linear Models in Python

146 ratings at DataCamp

Imagine being able to handle data where the response variable is either binary, count, or approximately normal, all under one single framework.

• DataCamp
• 5 hours
• Self-Paced
• Free Trial Available

Generalized Linear Models and Nonparametric Regression

26 ratings at Coursera

Model binomial and count data with generalized linear models, then fit kernel estimators, smoothing splines, and generalized additive models on real data in R.

• Coursera
• 4 weeks, 11 hours a week
• Self-Paced
• Paid Course

Nonlinear Modeling with Generalized Additive Models (GAMs) in R

62 ratings at DataCamp

Generalized Additive Models are a powerful tool for both prediction and inference.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Regression Models

33 ratings

Fit and interpret regression models: least squares, multivariable regression, residuals and diagnostics, ANOVA and ANCOVA, and generalized linear models including logistic and Poisson regression.

• Coursera
• 4 weeks, 13 hours a week
• Self-Paced
• Paid Course

UofU Data Science

Generalized Linear Models and Linear Regression - Lecture 11

Dive into advanced statistical concepts including generalized linear models, nonlinear basis functions, and regularization techniques for robust data analysis and point estimation.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

statisticsmatt

Generalized Linear Models

Develop generalized linear models through likelihood-based estimation, canonical links, iteratively re-weighted least squares, and several regression families.

• YouTube
• 3 hours 30 minutes
• Self-Paced
• Free Video

Variable Selection, Model Validation, Nonlinear Regression

Fit generalized linear models in R: estimate logistic and Poisson regressions by maximum likelihood, apply robust M-estimators against outliers, and validate the resulting models.

• Coursera
• 4 weeks, 5 hours a week
• Self-Paced
• Paid Course

The Last Statistical Model You'll Ever Need in SAS

9 ratings at Udemy

Use generalized linear mixed models to replace t-tests, ANOVA, regression, and more!

• Udemy
• 3 hours
• Self-Paced
• Paid Course

STAT 504: Analysis of Discrete Data

Analyze discrete and categorical responses: work with contingency tables, generalized linear models, and logit and log-linear methods, computing and interpreting results in R and SAS.

• OPEN.ED@PSU
• Self-Paced
• Free Online Course

Advanced Statistical Inference and Modelling Using R

Extend your knowledge of linear regression to the situations where the response variable is binary, a count, or categorical as well as to hierarchical experimental set-up.

• edX
• 6 weeks, 5-10 hours a week
• Self-Paced
• Free Online Course (Audit)

Richard McElreath

Statistical Rethinking 2022 - Ordered Categories

Builds ordered-logit models for ordinal outcomes using cumulative log-odds, Dirichlet priors, and causal reasoning about bias and confounding.

• YouTube
• 1 hour 21 minutes
• Self-Paced
• Free Video

Richard McElreath

Statistical Rethinking 2022 - Modeling Events

Learn to model event probabilities with generative models, generalized linear models, logistic and binomial regression, and marginal causal effects.

• YouTube
• 1 hour 11 minutes
• Self-Paced
• Free Video

Richard McElreath

Statistical Rethinking 2022 - Generalized Linear Madness

Explores generalized linear models through geometric and state-based perspectives, connecting them to population dynamics and ordinary differential equations.

• YouTube
• 1 hour 15 minutes
• Self-Paced
• Free Video

Richard McElreath

Statistical Rethinking 2023 - Ordered Categories

Learn ordered categorical models, monotonic predictors, Dirichlet distributions, and approaches to participation bias and selection.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video