Skip to main content Skip to navigation

Learn to code (3/3) -
analyse research data

About this session

Date: Wednesday 5th March 2025, 12.15-12.45 (FAB Media Symposium Space)

Presenters: Dr Robert O'Toole

Main follow-up contact: Robert O'Toole

Overview: A little bit more advanced than the first 2 sessions, but still requiring no previous experience. In this session, we will use Jupyter Notebooks to import a historical data set, and step by step analyse it for interesting patterns using the Python language. We will use online search to find background information to further make sense of what we see in the data. We will also look at how we can use AI to automate pattern finding. We will build and train a neural network, and use it to predict the survival(or not) of the fictional characters Rose and Jack from the movie Titanic. This produces a "notebook" combining scholarly commentary, data, code, and analysis, including graphs.

If you want to know more about neural networks, and want a straightforward intro for Arts and Humanities, then listen to the accomanying podcast from the An Earful of DAHL series.

Resources and further readings


Record and reflect

How did you participate in this? (required)
When do you think you will apply what you have learned? (required)
Privacy notice

This form will be used to manage completion of the certificate.

The University of Warwick is the data controller of any information you have entered on this form and as such is committed to protecting your data and rights in line with applicable data protection law (including the UK GDPR and the Data Protection Act 2018). Please review the privacy information (including privacy notices) provided by the University via the following link, for further information on your rights and how the University processes your personal data: Data Protection.

Spam prevention

Failure to load reCAPTCHA

reCAPTCHA is a utility used to verify you're not a robot filling out this form. Unfortunately this has failed to load correctly.

Please try reloading the page. If the problem persists, or if you are in a country which blocks Google products, please contact us by using the 'page contact' link at the foot of this page.

Let us know you agree to cookies