ARCH Workshop: Healthcare Data Wrangling in Python and Jupyter - Part 1, AIM AHEAD DICB Program, Laboratory of Experimental Medicine, University of Hawaii, John A. Burns School of Medicine
Created by AI Navigator
Wed May 14, 2025
Register now to attend the virtual ARCH Workshop, "Healthcare Data Wrangling in Python and Jupyter - Part 1" hosted by Billy Troy Wooton.
Workshop Description:
Learn to load, preprocess, and analyze healthcare data using Jupyter notebooks and Python tools such as Pandas, NumPy, and Matplotlib, gaining hands-on experience in healthcare data wrangling.
Date/Time: Thursday, May 29, 2025 - 1:00 PM PT / 3:00 PM CT / 4:00 PM ET
Location: Virtual Workshop. The Zoom link will be provided upon registration.
Prerequisites for Workshop:
Basic familiarity with data analysis, computational notebooks, and programming is helpful but not required.
This workshop is intended to be accessible to researchers and practitioners from a variety of backgrounds, and will be presented in two parts, with more basic/introductory material covered in Part 1, and slightly more advanced techniques covered in Part 2.
Datasets & Tools:
This workshop will include a brief slide-show presentation followed by a more lengthy hands-on module in Jupyter notebooks.
Access to the hands-on modules will be provided in 3 different ways:
1) through Google Colab (gmail/google account required),
2) through mybinder.org (no account required), or
3) local installation of source code and necessary packages following instructions provided on the module's Github repository (link to be provided at the beginning of the workshop to participants).
This workshop will be utilizing synthetically generated healthcare data tracking patient conditions, diagnoses, lab tests, vital signs, and more.
Expected Outcomes:
Attendees will gain hands-on experience wrangling, visualizing, and analyzing healthcare data using industry-standard tools such as Python, Jupyter, Pandas, NumPy, Matplotlib, and others.
About ARCH:
The AI Resource Concierge for Health (ARCH) is supported by the National Institutes of Health AIM-AHEAD program.
ARCH Mission:
Support academic and community stakeholders in the adoption of AI/ML tools to advance their health and disease research goals.
ARCH Vision:
ARCH provides expert technical assistance, guidance, and collaboration to facilitate adoption of AI/ML tools, supporting the AIM-AHEAD and wider research communities in leveraging these technologies to improve the health of the Nation.
Need Support?
Contact the AI Navigators HelpDesk to request support here: https://helpdesk.aim-ahead.net/ticket/create/35bD542BF0
Interested in learning more?
See a schedule of all upcoming ARCH Workshop details here: https://www.arch.health/stakeholder-engagement-workshops
