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DTSTART;TZID=America/Los_Angeles:20260512T120000
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SUMMARY:Data Visualization Strategies for Biomedical Scientists
DESCRIPTION:Developing clear\, concise and interpretable data visualization is a key step in research communication. \nGuest speaker Michael Wells\, PhD will review data visualization basics\, key principles to follow when creating plots and figures\, and share some things to avoid when creating your plots. \nSpeakers: \nMichael Wells\, Ph.D.\nAssistant Professor\, UCLA Department of Human Genetics \nIbraheem Ali\, Ph.D.\nResearch Informatics & Technology Program Manager\, UCLA Health IT
URL:https://workshops.ucla.edu/workshop/data-visualization-strategies-for-biomedical-scientists/
LOCATION:Zoom
CATEGORIES:Training workshop / Tutorial
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DTSTART;TZID=America/Los_Angeles:20260609T120000
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SUMMARY:Healthcare Data Wrangling in Python and Jupyter
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. Walk through a mock case study analyzing lab tests for patients with Type 2 diabetes diagnoses. \nAttendees will gain hands-on experience wrangling\, visualizing\, and analyzing healthcare data using industry standard tools such as Python\, Jupyter\, Pandas\, Scipy\, Seaborn and others. \nSpeaker: \nTroy Wooton\, M.Sc.\nSenior Healthcare Analyst and Data Science Specialist\, Laboratory of Experimental Medicine\, John A. Burns School of Medicine\, University of Hawaii
URL:https://workshops.ucla.edu/workshop/healthcare-data-wrangling-in-python-and-jupyter/
LOCATION:Zoom
CATEGORIES:Training workshop / Tutorial
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