Applied Data Analysis in Python: scikit-learn (In-person)

Audience Level: Intermediate

Ideal for participants who have a foundational understanding and are looking to expand their skills. You should have a good grasp of the basics of the Python language and some experience with data manipulation and visualisation as taught in the Introduction to Python 1 and Introduction to Data Analysis in Python courses.

Session Information:

This short course introduces you to Python scikit-learn to do data querying, exploratory analysis, and machine learning to discover things about whatever data may come across your desk.

The course materials are available at https://bristol-training.github.io/applied-data-analysis-in-python/

Action required before the session:

Please bring along your own laptop with a working Python installation, including pandas, seaborn and scikit-learn libraries. We also recommend you having Jupyter Notebooks. If you don’t have Python in your laptop, we recommend installing it via Anaconda following these instructions(this will also install Jupyter).

We are running an in-person and online JGI drop-in installation session on Friday 30th May from 11:30-12:45 - if you require any help in installing any software please attend this session.

Intended Learning Outcomes:

• Know how to use Jupyter Notebooks
• Be familiar with scikit-learn, pandas, and seaborn
• Understand the principles of machine learning (select suitable models, split data into training and test sets, fit models to data, hyperparameter tuning using grid search, understand how to evaluate model performance)

Code of Conduct

Please look at our Code of Conduct for all online and in-person events organised by the JGI.

Bristol Data Week 2025

This event is part of Bristol Data Week 2025, organised by the Jean Golding Institute taking place from Monday 2nd June - Friday 6th June. Bristol Data Week is a leading platform for learning, discussion, and collaboration in data science and AI. It brings together researchers, industry experts, policymakers, and community groups to explore the latest advancements in data and technology, addressing real-world challenges and shaping the future of responsible AI.

This year, we will be running a week long series of events featuring:

• Expert-led workshops and training on cutting-edge data science and AI topics.
• Thought-provoking panel discussions with leading voices in the field.
• Opportunities to network with researchers, industry professionals, and policymakers.

Keep up to date with activities happening throughout Bristol Data Week on the Jean Golding Institute website, follow us on Bluesky, LinkedIn and tag us with #BristolDataWeek2025 or #BDW2025.

Please be aware that photography and recording of the sessions may be taking place. Please let us know if you would not like to be filmed by contacting jgi-admin@bristol.ac.uk