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. Walk through a mock case study analyzing lab tests for patients with Type 2 diabetes diagnoses.

Attendees will gain hands-on experience wrangling, visualizing, and analyzing healthcare data using industry standard tools such as Python, Jupyter, Pandas, Scipy, Seaborn and others.

Speaker:

Troy Wooton, M.Sc.
Senior Healthcare Analyst and Data Science Specialist, Laboratory of Experimental Medicine, John A. Burns School of Medicine, University of Hawaii