STAT 149 - Introduction to Generalized Linear Models Learning Course

[STAT 149 - Introduction to Generalized Linear Models Learning Course] STAT 149 - Introduction to Generalized Linear Models STAT 149 introduces students to generalized linear models (GLMs), a flexible class of statistical models that extend traditional linear regression to accommodate non-normal response variables and complex data structures. The course covers topics such as logistic regression, Poisson regression, and other GLMs, along with model fitting, inference, and interpretation of results. Emphasis is placed on understanding the assumptions underlying GLMs, selecting appropriate models for different types of data, and using statistical software to analyze real-world datasets. Through theoretical foundations and practical applications, students learn how to apply GLMs to analyze categorical and count data in fields such as biostatistics, social sciences, and business analytics.This Learning Course is a platform that helps students to study and learn. The platform provides all the required material for the students to study. The material includes Study guide, Exam Questions & Answers, Study Notes and other resources that are useful for the students. It also gives information about the upcoming exams so that students can prepare themselves accordingly.