Bristol Data Week 2026
Bristol Data Week 2026: Book your free place now!
Data & AI for Everyone. Learn, Engage, Collaborate.
Bristol Data Week 2026 is here! Running from 1–5 June, this free, week-long festival of workshops, talks, training and interactive events is now live and open for booking. Whether you’re a student curious about AI, an academic exploring data in your research, or just excited about how technology is shaping the world, we’ve got something for you. From hands-on training sessions to inspiring speakers and multi-disciplinary workshops, it’s a chance to dive into the world of data science, AI, and their real-world impact.
Check out the full schedule now and click on a session to reserve your free place—spaces fill up fast!
What’s On?
Monday, 1 June
Training: Introduction to Python (9:30 – 12:30)
Suitable for beginners.
You will be introduced to the fundamentals of Python, a popular, versatile language known for its simple syntax. Additionally, you will get a first look at "pandas," a powerful tool used to organize and query data.
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Workshop: Data Privacy and Synthetic Data in the Energy Sector (13:00 – 17:00)
The aim of the workshop will be to demonstrate how sharing detailed datasets can lead to issues around privacy and how generating synthetic data can help to reduce or remove these sensitivities whilst maintain utility.
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Tuesday, 2 June
Training: Introduction to Data Analysis and Machine Learning in Python (9:30 – 12:30)
Suitable for those with a basic understanding of Python programming.
This session focuses on the practical tasks required to analyse data effectively. You will learn how to use the pandas package to clean and combine data, as well as seaborn to create visual charts. The course also introduces the framework for Machine Learning with scikit-learn, showing you how to build simple models that make data-driven decisions.
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Workshop: Immersive Data Visualisation in the Reality Emulator (10:00 – 13:00)
Join us for an introduction to cutting-edge data visualisation using immersive technologies. This interactive session will explore how advanced visualisation methods can transform the way we understand complex datasets. Attendees will have the chance to experience our state-of-the-art Reality Emulator.
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Wednesday, 3 June
Workshop: Museum of Languages (9:30 – 17:00)
This workshop to explores how advances in machine translation and language learning are reshaping linguistic diversity. Will languages fade as translation becomes seamless, or proliferate into a world of local idiolects where machines mediate between ever more diverse forms of speech? Will we all speak one language, or each our own and how will we preserve the vast cultural treasury of those we already have?
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Thursday, 4 June
Training: Harnessing AI (09:30 – 12:30)
No experience required.
Curious about how AI can actually help in your everyday work and learning? This course shows you effective and responsible hands-on ways to use chatbots for everyday tasks like finding information, generating ideas, and improving your writing.
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Seminar: Open Research in the Age of AI (13:00 – 17:00)
Open Research in the Age of AI invites our research community and wider audience to explore how artificial intelligence (AI) is reshaping scholarly practice, integrity, and openness. This event will bring together experts from across disciplines to examine risks and opportunities that AI presents for open research.
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Friday, 5 June
Training: Introduction to AI (9:30 – 12:30)
Suitable with those with experience using Python programming and data analysis using pandas and plotting.
This course teaches Python programmers how "neural networks"—computational models inspired by the brain—are structured to predict information from your data.
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Seminar: Careers in Data Science (14:00 – 16:30)
Explore data science career options – and routes into employment that PhD, masters and undergraduate students might take after graduation. We will hear from a panel of data science professionals, each providing a brief overview of their career choices, working life and the realities of being a data scientist in different organisations, sectors and workplaces.