Stochastic Processes Modelling
Markov chains, Poisson processes and Brownian motion with actuarial and financial applications.
Statistical Modelling
Generalised linear models and statistical inference for real-world data.
Intermediate 6 topics 12 months access Online reader
About this course
The core toolkit for drawing conclusions from data. The course reviews estimation and hypothesis testing, then develops linear and generalised linear models for continuous, count and binary outcomes, with careful attention to diagnostics and interpretation.
What you will learn
- Estimate parameters and test hypotheses correctly
- Fit and interpret linear regression models
- Use generalised linear models for counts and binary data
- Check model assumptions with diagnostics
Course topics
- Estimation and inference
- Hypothesis testing
- Linear regression
- Generalised linear models
- Model diagnostics
- Applications in insurance and research
Who this course is for
- Undergraduate and postgraduate students
- Candidates preparing for statistics examinations
- Researchers who analyse quantitative data
Before you start
Probability and introductory statistics.
How access works
After payment, the course materials appear in My Learning. They open in a secure online reader on your phone, tablet or computer for 12 months. Materials are view-only and cannot be downloaded. Buying again extends your access from the current end date.
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