Part-time

Introduction to Generalised Linear Models in R - Online

Duration
2 days, 9.30 am – 5.30 pm
Mode
Part-time
Location
United Kingdom
Next intake
MAY 2026

Overview

Enhance your data analysis skills with this hands-on course on Generalised Linear Models in R. Learn to model complex data types and apply GLMs in real-world…

Entry 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. Our approach emphasises clarity, careful reasoning, and practical skills over unnecessary complexity, ensuring that you can confidently apply these techniques to your own research questions. The course is particularly well-suited for the following groups: Early-Career Researchers and PhD Students If you’re beginning your research journey, this course will help you develop robust data analysis skills essential for conducting high-quality, reproducible studies. Learn to navigate RStudio confidently and apply statistical techniques that will elevate your research output. Postdoctoral Researchers and Academics As a Postdoc or Academic, this course provides an opportunity to deepen your expertise in data science. Enhance your ability to analyse complex datasets, visualise results, and streamline your workflow with RMarkdown. These skills can improve your efficiency, strengthen your grant applications, and make your research more impactful. Data Analysts and Statisticians For professionals working in data-heavy roles, such as those in government, healthcare, or private sector organisations, this course offers tools and techniques to tackle statistical challenges efficiently. Gain skills in data wrangling, visualisation, and foundational statistical modelling that will add value to your current role and career progression. Industry Professionals Transitioning to Data Science If you’re transitioning into data science or statistical analysis roles, this course provides an excellent foundation. Learn how to use RStudio effectively for data manipulation, creating visualisations, and conducting statistical analyses that are increasingly in demand across industries like finance, marketing, and technology. Prerequisites : Familiarity with R is assumed. Foundational concepts are covered in our course, Introduction to Statistics Using R and RStudio.

Fees

UK students: £360 (inc. VAT)

UK/Home: £360 (inc. VAT)

Start dates

Wednesday 27 - Thursday 28 May 2026

Application deadline

Apply directly to the university. No fixed deadline — apply as early as possible for the best chance of a place.

Campus

  • Online, United Kingdom
East MidlandsEast of EnglandLondonNorth EastNorth WestNorthern IrelandScotlandSouth EastSouth WestWalesWest MidlandsYorkshire and the HumberNottingham Trent University

Where you will study

Nottingham, East Midlands, United Kingdom

Study in NottinghamEast Midlands

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TuitionGBP 360/yr
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