NCI Data Science Learning Exchange
►Exploratory Data Analysis (EDA) for Clinical Datasets An Overview of Techniques and Tools
Overview: Exploratory data analysis (EDA) is an important step in statistics that enables the validation, summarization, and hypothesis generation in relation to a dataset. This workshop will present multiple tools used to perform EDA tasks and show you how to apply them on three public clinical datasets. The workshop will also demonstrate tools that can assist you in exploration and characterization of your data sets.
Date: Thursday, August 6, 2020
Time: 1:00 – 2:30 p.m.
Location: WebEx
Presentaton: here
Recording: here
Instructor: George Zaki, PhD, bioinformatics manager at the Frederick National Laboratory for Cancer Research (FNLCR) and adjunct professor at the University of Maryland.
Questions? Contact the NCI Data Science Learning Exchange