
Introduction to Generalised Linear Models in R - Online
Course 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…
Key highlights
- Hands-on training in Generalised Linear Models using R
- Learn to model complex data types beyond standard linear models
- Apply GLMs to real-world data analysis problems
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.
Scholarships
Bangladesh High Achievers Award
We are pleased to offer up to £3,000 fee reduction to all high achieving Bangladeshi students.
Up to £3,000Chevening Scholarships
English Language Test Discount
You may be entitled to £200 towards the cost of an English Language Test.
Up to £200Nottingham Law School’s Professional Courses Scholarships
Nottingham Law School is delighted to offer a number of competitive professional courses scholarships that are worth up to half the value of your tuition fee.
NTU Excellence Scholarships
Undergraduate and Postgraduate - 50% or 25% off your first year tuition fees.
NTU International Merit Scholarships
International Merit Scholarships: £3,000
Up to £3,000NTU International Scholarships
International Scholarships : £2,000
Up to £2,000NTU Music Scholarship
We may award music tuition for a number of months, a full academic year, or up to the length of your course.
NTU Sanctuary Scholarship
Outstanding Achievement Award
The value of the scholarship is £1,000 for each year of study on your first course at the University (excluding any work placement year).
Up to £1,000Sibling Loyalty Reward
20% discount on tuition fees.
Up to 20% of feesSport Scholarships
Potential bursary or fee reduction.
Undergraduate Executive Dean's Scholarship
Undergraduate Executive Dean's Scholarship: £5,000
Up to £5,000Women in Computer Science
50% of tuition fee
Up to 50% of fees
Careers this course leads to
- Data Analyst
- Statistician
- Research Scientist
- Postdoctoral Researcher
- Data Scientist
Cost of study
UK/Home: £360 (inc. VAT)
Admission
Applications are made through AHZ at no cost. Share your transcripts, English test scores and personal statement, and your AHZ Counsellor will review your profile, submit your application to Nottingham Trent University, and guide you through interview, offer, CAS and visa — right up to enrolment.
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