ASU Library – Data Science

Last Event: Wednesday Aug. 31 10 a.m. - 11 a.m.
Aug. 31 10 a.m. - 11 a.m.
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Data Science is an interdisciplinary field that uses the scientific method, processes, algorithms and systems to extract valuable meaning and insights from data. Learn about the phases of data science and the various resources the Unit for Data Science and Analytics and the ASU Library offers to support your learning.

Hosted by Kerri Rittschof, Program Manager with the Unit for Data Science and Analytics

Register for this online event.

People gathered around looking a table looking at data visualizations

For more information contact:

ASU Library
Data Science and Analytics
datascience@asu.edu
https://lib.asu.edu/data

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Understanding the exact problem and the specifics of a problem in data science are key from the who, what, when, where and why. Join the Unit for Data Science and Analytics to learn how to identity the problem to help guide your data collection or data selection to model selection. Increase your knowledge and skill set identifying the problem with your data science projects.

Register for the online event.

Three people of different genders and ethnicities talking around a table while interacting with online Zoom attendees

For more information contact:

ASU Library
Data Science and Analytics
datascience@asu.edu
https://lib.asu.edu/data

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Join the Unit for Data Science and Analytics for a presentation with Shade Shutters, assistant professor, School of Complex Adaptive Systems. An obstinate problem in the study of complex systems is how to quantitatively compare one system to another. In cities for example, learn how to utlize the internal parts of each system and use the part that are connected to each other in non-random and often cryptic ways. Discover how these connections can be modelled as a complex network.

Register for the online event.

Data visualization

For more information contact:

ASU Library
Data Science and Analytics
datascience@asu.edu
https://lib.asu.edu/data

Share:

States and local governments enacted numerous efforts to mitigate the COVID-19 pandemic with limited information about the nature of the virus and the efficacy of the mitigation strategies. Join the Unit for Data Science and Analytics as we walk through the development of an agent-based model to theoretically explore the effects of various strategies.

Featured speaker: Joffa Applegate, assistant research professor and a member of the Complex Systems Research Group.

Register for this online event.

data visualization

For more information contact:

ASU Library
Data Science and Analytics
datascience@asu.edu
https://lib.asu.edu/data