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General Linear Modelling

Welcome to General Linear Modeling (GLM) and Generalized Linear Modeling (GLIM), a comprehensive introductory course designed to help you understand two of the most important stati...

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Published 2026 · Last updated Jul 2026

General Linear Modelling

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Course overview

Course Overview

Welcome to General Linear Modeling (GLM) and Generalized Linear Modeling (GLIM), a comprehensive introductory course designed to help you understand two of the most important statistical modeling frameworks used in modern data analysis. Whether you are a student, researcher, academic, or data analyst, this course provides a strong conceptual foundation for understanding when and how these techniques are applied in research and industry.


The course introduces the principles of General Linear Models (GLM) and Generalized Linear Models (GLIM), explaining their purpose, underlying assumptions, and practical applications. You will explore the differences between the two modeling approaches, learn how to select the appropriate model for different types of data, and gain an understanding of exponential family distributions and their role in generalized linear modeling. Through clear explanations and practical examples, the course helps build the theoretical knowledge required before applying these techniques using statistical software.


By the end of this course, you will have a solid understanding of GLM and GLIM concepts, enabling you to identify the appropriate modeling approach for various research problems and build a strong foundation for advanced statistical analysis.


Learning Outcomes

Understand the concepts, assumptions, and applications of General Linear Models (GLM) and Generalized Linear Models (GLIM).

Differentiate between GLM and GLIM and identify their appropriate use cases.

Select suitable modeling techniques based on research objectives and data characteristics.

Understand the role of exponential family distributions in generalized linear modeling.

Develop a strong conceptual foundation for applying GLM and GLIM in statistical research and data analysis.

What you walk away with

Career Map & Skills You Gain

Every course adds to three macro skills. Log in to swap platform averages for your own numbers.

Financial skills

62th

percentile

Your salary vs. learners in these roles

After this course+14 pts → 76th

Data Analysis and Research specialist

72% course score

+7

Project contributor

66% course score

+7

Independent practitioner

61% course score

+6

Employability skills

71th

percentile

Quiz scores from the courses you finish

After this course+18 pts → 89th

Understand the concepts, assumptions, and applications of General Linear Models (GLM) and Generalized Linear Models (GLIM)

64% course score

+6 pts

Differentiate between GLM and GLIM and identify their appropriate use cases

70% course score

+7 pts

Select suitable modeling techniques based on research objectives and data characteristics

76% course score

+8 pts

Understand the role of exponential family distributions in generalized linear modeling

82% course score

+8 pts

Life skills

48th

percentile

Life-skill test scores after each course

After this course+11 pts → 59th

Critical thinking

76% course score

+8 pts

Decision-making

71% course score

+7 pts

Confidence

68% course score

+7 pts

Curriculum

2 modules · 6 lessons · 0 min

Each module pairs the hand calculation with the same analysis in Excel, SPSS, R and Python.

Introduction to General Linear Models or GLM
0:25
What are General Linear Models?
4:55
What are Generalized Linear Models?
5:08
What are Exponential Distributions?
4:02
Examples and Applications of Generalized Linear Models
1:00
General Vs Generalized Linear Models
3:46

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Questions

Frequently asked

Who is this course for?

This course is designed for learners who want a practical, guided path through Data Analysis and Research.

What will I learn?

Understand the concepts, assumptions, and applications of General Linear Models (GLM) and Generalized Linear Models (GLIM). Differentiate between GLM and GLIM and identify their appropriate use cases. Select suitable modeling techniques bas...

How long do I have access?

Your course access remains available for the lifetime of your account, including future updates to the lessons.

Is there a refund?

Yes. Eligible purchases include the platform money-back guarantee described at checkout.

We are committed to your progress

Lifetime access, mentor Q&A on every lesson, and a certificate you can share the moment you finish. If it is not right for you, the first 30 days are on us.

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