Introduction to Data Visualization with Python / Seaborn (8.12.26)

What: This hands-on workshop will cover the basics of data visualization using Seaborn, a library for the Python programming language. We will cover how to create plots using numeric and categorical data, as well as the creation of multi-panel figures for data exploration and presentation.

Why: Seaborn is a great data visualization choice because it provides a high-level, user-friendly interface that allows users to create visually appealing and informative statistical graphics with minimal code. Its wide range of built-in plot types, polished default themes, and flexible customization options make it a powerful tool for both data exploration and data-driven reporting.

How: This is a free 1 hour hands-on workshop.

Where: Online via Zoom (link provided upon registration).

Who: This seminar is open to all Harvard affiliates from all disciplines, and the public research community. 

Prerequisites: Attendees don’t need much experience with Python, though a basic familiarity with the language will be helpful. We’ll want to get started right away, so please make sure to install JupyterLab or Jupyter Notebook (https://jupyter.org/install) prior to arrival. Alternatively, attendees are welcome to use Google Colab (https://colab.research.google.com) if they have existing Google accounts. Please contact James Adams if you encounter any difficulties with setup.

Instructor: James Adams, Manager of Research and Data Services, HKS Library and Research Services

Bring your data visualization questions, and join your peers to meet new people and learn new skills in a welcoming and encouraging environment!