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
- Data Analysis: Pythons and Pandas Link opens in a new window
- Intro to Jupyter Notebooks and Visual Studio CodeLink opens in a new window
- Data science tutorial on which this session was based (includes full instructions)Link opens in a new window