Presented By O'Reilly and Cloudera
Make Data Work
Sept 29–Oct 1, 2015 • New York, NY
Michael Freeman

Michael Freeman
Lecturer, University of Washington

Website | @mf_viz

Michael Freeman is a senior lecturer at the Information School at the University of Washington, where he teaches courses on data science, data visualization, and web development. With a background in public health, Michael works alongside research teams to design and build interactive data visualizations to explore and communicate complex relationships in large datasets. Previously, he was a data visualization specialist and research fellow at the Institute for Health Metrics and Evaluation, where he performed quantitative global health research and built a variety of interactive visualization systems to help researchers and the public explore global health trends. Michael is interested in applications of data visualization to social change. He holds a master’s degree in public health from the University of Washington. You can find samples from his projects on his website.

Sessions

1:15pm–1:55pm Thursday, 10/01/2015
Design, User Experience, & Visualization
Location: 3D 03/10 Level: Non-technical
Tags: featured
Michael Freeman (University of Washington)
Average rating: ****.
(4.61, 23 ratings)
Data-driven decision-making can only be properly executed when the decision makers understand both the underlying data, and the types of manipulations that have been applied to it. In this session, we’ll explore what exactly we "do" to data (aggregation, "cleaning," statistical modeling, machine learning), and how to visually communicate about the processes and implications of our work. Read more.