Introduction to Data Analysis in Python - Training (In-person)
Introduction to Data Analysis in Python - Training (In-person)
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About this event
This workshop will teach you the basic tools available in Python for data analysis. It will particularly focus on Pandas to learn how to:
- Read in data files
- Combine data together
- Summarise and aggregate your data
- Filter your data
- Visualise your data
It will also introduce Jupyter Notebooks as a way of interleaving prose with your code as a form of 'literate programming'.
Please look at our Code of Conduct which we follow at all virtual and in-person events.
Advanced requirements/set up:
Please bring along your own laptop. It will be taught in JupyterLab using the notebook interface and so before the session we recommend installing Anaconda Python.
We are running an in-person and online JGI drop-in installation session on Monday 3rd June from 11:15-12:30 - if you require any help in installing any software please attend this session.
Audience Level:
You should have a good understanding of the basics of Python, at least as far as taught in the Beginning Python course.
Learning Outcomes:
- Use Jupyter Notebooks to explore data
- Use Pandas to select, manipulate and filter tables of data
- Visualise data using Seaborn
Instructors
Dr Richard Lane, Data Scientist, Jean Golding Institute
Dr Léo Gorman Data Scientist, Jean Golding Institute

Left to right: Richard Lane, Léo Gorman
Dr Richard Lane (he/him)
Richard is a Data Scientist at the JGI. His interests are software development and processes for data science, delivering and designing training courses, and reproducible research. He has worked on computer vision of forensic and medical CT scans and data analysis from smart wearables. He manages the Ask-JGI helpdesk PhD data scientists, having worked on the team himself during his time as a PhD student in the School of Physics, before joining the Jean Golding Institute in 2023.
Dr Léo Gorman (he/him)
Léo is a Data Scientist at the JGI. He is interested in developing sustainable software for data management and analysis. He also has a keen interest in Bayesian analysis methods and multi-level modelling. Léo has experience applying data science in the field of international development. In collaboration with the International Livestock Research Institute, he has developed software and analytical procedures to help researchers better understand the issues facing smallholder farmers in Lower- and Middle-Income Countries. With a background in physics and international development, he joined the Jean Golding Institute in October 2023, after finishing his PhD at the Alan Turing Institute and the University of Bristol.
Bristol Data Week 2024
This event is part of Bristol Data Week 2024, organised by the Jean Golding Institute. Running from Monday 3rd June – Friday 7th June 2024, this will be our 7th annual Data Week; an interactive programme of speakers, training and workshops open to all and completely free of charge.
Keep up to date with sessions happening throughout Bristol Data Week on the Jean Golding Institute website follow us on Twitter @JGIBristol and use #BristolDataWeek.
Location
Fry Building (Room: LG21) School of Mathematics, Woodland Rd, Bristol BS8 1UG