About these notes

These lecture notes are written for students on MAS109 Probability and Data Science. Topics covered include:

data handling and exploratory analysis in R;
a short introduction to machine learning;
statistical inference: point estimation, interval estimation and hypothesis testing.

There are examples that you can try for yourself from Chapter 3 onwards. You will find these helpful for revision; exam questions will be in a similar style. If you are looking for an example on a particular topic, you may find the index of examples useful.