This is the homepage for Part 2 (Data Science) of MAS113 Introduction to Probability and Statistics. See here for Part 1 (Probability). General information about the module is available here. This course also uses MOLE.

## Coursework and deadlines

Task | Deadline | Assessment Weight | Hand-in |
---|---|---|---|

R Practical 3: plots | April 29th, computer class | 2.5% | Show html in class |

## Lecture notes and tutorial problems

Printed copies will be given out in the lectures.

### Corrections

The booklet of exercises linked above has been updated from the printed copy:

- References to examples changed in Section 1: R commands quick reference
- R output is changed in Q13
- R output is provided for Q21 and Q24
- Please ignore Q22 and Q23

## RStudio Primers

There are lots of free resources online for learning about R. One recommendation is a set of interactive tutorials produced by RStudio

## Careers

Interested in a career in data science or statistics? Follow the links for some ideas as to what you can do.

## Downloading R and RStudio

You can obtain both R and RStudio for free. (If you want to work on your own computer, you will need both installed.)

## Past exam papers and solutions

Solutions will be posted on MOLE, after the module has finished.