Short Courses in Applied Statistics

Course outline

Knowing when to use which test is a common problem. Even deciding whether to use statistics at all can be a problem. Are my data suitable to be analysed? What issues influence whether or not they can be analysed? Where do you start and how can you select the most appropriate methods for your analysis?

This course seeks to establish a framework that will help you to understand data analyses and address the complications that may lie within. It will not detail the specifics of how each technique applies in a given situation but will provide you with a general approach to tackle a variety of problems. It will also allow you to be more discerning when reading statistical reports and summaries.

The aim is that you will go away from the course understanding how the world of statistics fits together and how it relates to your work.

Who should attend?

- Anyone who does their own statistical analysis but sticks to the same few techniques all the time
- Anyone who rarely knows what to do when faced with a problem that requires a statistical answer
- Anyone who's about to embark upon a major project that will require statistical analysis
- Anyone who reads reports and wants (or is expected) to understand the statistical content

How you will benefit

You will benefit by learning how to approach problems from a statistical point of view, as well as how to apply key principles to help you choose appropriately from among the available methods and techniques.

Course content

Statistical Thinking: Key Principles
When do I need statistics: the bigger picture
Overview of Tests
Overview of Multivariate Analysis
Overview of modelling (e.g. Generalised Linear Models)
Overview of advanced modelling (Multilevel models, non-linear models)
Overview of Bayesian data analysis
Tips and resources on how to research a specific technique

Discounts

An Academic discount is available for this course.