An Introduction to Data Science
About these notes
These lecture notes are written for students on MAS113 Introduction to Probability and Statistics and MAS5052 Basic Statistics. Topic 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.
Any reference to ‘this module’ in these notes applies both to MAS113 and MAS5052.