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Overview
Moving beyond ordinary linear regression, GLMs allow you to model a wide range of data types, including binary, ordinal, categorical, and count-based outcomes.
Through expert led online instruction and hands-on coding exercises, you'll gain a solid understanding of how and when to use GLMs and how to interpret and evaluate your results in a meaningful way.
What you’ll study
By the end of the Introduction to Generalised Linear Models in R course at Nottingham Trent University, you will have a solid grasp of the major GLMs used in modern statistical analysis.
You will be able to identify when a particular model is appropriate, fit it using R, interpret the results responsibly, and critically evaluate its assumptions—skills that will serve you well in any field where data are more complex than a simple linear trend.
Programme Structure
Topics include:
- The General Linear Model
- Binary Logistic Regression
- Ordinal Logistic Regression
- Categorical (Multinomial) Logistic Regression
- Poisson Regression
- Binomial Logistic Regression
- Negative Binomial Regression
- Zero-Inflated Models
Key information
Duration
- Part-time
- 2 days
Start dates & application deadlines
- StartingApply anytime.
Language
English
Delivered
Online
Campus Location
- Nottingham, United Kingdom
Disciplines
Statistics View 20 other Short Courses in Statistics in United KingdomWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- This course is designed for those who already possess a basic understanding of linear modelling and are ready to take the next step in their statistical toolkit.
The course is particularly well-suited for the following groups:
- Early-Career Researchers and PhD Students
- Postdoctoral Researchers and Academics
- Data Analysts and Statisticians
- Industry Professionals Transitioning to Data Science
Prerequisites: Familiarity with R is assumed. Foundational concepts are covered in our course, Introduction to Statistics Using R and RStudio.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents360 GBP / full≈ 360 GBP / full -
Domestic Applies to you
Applies to youCitizens or residents360 GBP / full≈ 360 GBP / full
Funding
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