modules

In this module you will learn the basics of statistical inference, including probability, sampling variability, confidence intervals and how to identify patterns in data and to represent them using statistical models. You will learn the essential mathematical techniques that are required for the implementation and interpretation of statistical and machine learning methods. You will learn how to fit statistical models to data, to evaluate whether models are appropriate given the context of the data and how they can be used to quantify relationships and for prediction.

Pre-requisites: None

_{Please note that all modules are subject to change, please get in touch if you have any questions about this module.}