Generalized Linear Models Courses and Certifications

Simons Institute

Estimating Separable Matching Models

Explores methods for estimating separable matching models with transferable utility, focusing on minimum distance estimation and reformulation of the Choo and Siow model as a generalized linear model with two-way fixed effects.

• YouTube
• 27 minutes
• On-Demand
• Free Video

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
• On-Demand
• Free Video

Simons Institute

Sparsifying Generalized Linear Models

Explores sparsification of sums in generalized linear models, presenting algorithms for efficient computation and applications to optimization problems like regression.

• YouTube
• 56 minutes
• On-Demand
• Free Video

NPTEL-NOC IITM

Generalised Linear Models: Introduction to Natural Exponential Family and Binomial Distributions

Explore Generalised Linear Models and Natural Exponential Family, focusing on Binomial Distributions and their applications in statistical modeling.

• YouTube
• 19 minutes
• On-Demand
• Free Video

Principles of fMRI 1

828 ratings at Coursera

This course covers the design, acquisition, and analysis of Functional Magnetic Resonance Imaging (fMRI) data. A book related to the class can be found here: https://leanpub.com/principlesoffmri

• Coursera
• 8-9 hours
• On-Demand
• Free Online Course (Audit)

Statistics for Applications

1 review

This course offers an in-depth the theoretical foundations for statistical methods that are useful in many applications.

• MIT OpenCourseWare
• 28 hours
• On-Demand
• Free Video

Multiple and Logistic Regression in R

In this course you'll learn to add multiple variables to linear models and to use logistic regression for classification.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Generalized Linear Models in R

The Generalized Linear Model course expands your regression toolbox to include logistic and Poisson regression.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Generalized Linear Models in Python

Extend your regression toolbox with the logistic and Poisson models and learn to train, understand, and validate them, as well as to make predictions.

• DataCamp
• 5 hours
• On-Demand
• Free Trial Available

Variable Selection, Model Validation, Nonlinear Regression

Master advanced regression techniques for data-driven industries. Learn logistic, Poisson, and robust regression, generalized linear models, and model validation using R for practical applications.

• Coursera
• 20 hours 43 minutes
• On-Demand
• Free Online Course (Audit)

Packt

Regression Analysis for Statistics & Machine Learning in R

Enhance regression analysis skills in R: from OLS to advanced techniques like GLMs, non-linear models, and machine learning approaches. Practical implementation and result interpretation included.

• Coursera
• 10 hours 15 minutes
• On-Demand
• Free Online Course (Audit)

STAT 504: Analysis of Discrete Data

Develop critical analysis skills for contingency tables, explore generalized linear models, and gain practical experience using SAS/R for discrete data analysis.

• OPEN.ED@PSU
• On-Demand
• Free Online Course

IISER Pune;  NPTEL

Regression Analysis

Learn powerful regression analysis techniques for predicting future outcomes. Master simple and multiple linear regression, model assumptions, dummy variables, polynomial regression, and generalized linear models.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

Richard McElreath

Statistical Rethinking 2023 - Modeling Events

Explore statistical modeling for events, covering discrimination, mediation, generative models, and generalized linear models. Learn to analyze and compute interventions, with a bonus on survival analysis.

• YouTube
• 1 hour 32 minutes
• On-Demand
• Free Video

Richard McElreath

Statistical Rethinking 2022 - Modeling Events

Explore statistical modeling of events, covering generative models, generalized linear models, logistic regression, and binomial regression. Learn to analyze gender applications and calculate marginal causal effects.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video