ASU Library

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As part of the Actionable Analytics team, the ASU Library’s Data Science and Analytics Unit developed machine-learning models to predict next-term persistence. Towards this effort, we iteratively constructed a list of features for each student and built a set of predictive models to map these features to a predicted probability. This presentation will cover the end-to-end development to deployment of these models to inform decision making and student-level actionability aimed at increasing student success.

Three people of different genders and ethnicities discussing around a table while interactng with online Zoom attendees

Online

No registration required.

For more information contact:

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

Last Event: Wednesday March 9 10 a.m. - 10:30 a.m.
March 9 10 a.m. - 10:30 a.m.
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In this mini-workshop you will learn some of the basics of data science from the ASU Library’s Data Science and Analytics hands-on mini-workshops. We will show you how to import data, build models and interpret results using multiple techniques in the Python programming language.

Three people of different genders and ethnicities discussing around a table while interactng with online Zoom attendees

Online

No registration required.

For more information contact:

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

Last Event: Wednesday March 16 10 a.m. - 11 a.m.
March 16 10 a.m. - 11 a.m.
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Everyone's talking about deep learning, but what is it, really? In this Open Lab, the ASU Library’s Data Science and Analytics Unit will introduce the basics of deep learning, including key concepts and tools for using deep learning in your own work. There will be a brief hands-on portion where participants can follow along or participate directly.

Three people of different genders and ethnicities discussing around a table while interactng with online Zoom attendees

Online

No registration required.

For more information contact:

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

Last Event: Wednesday March 23 10 a.m. - 10:30 a.m.
March 23 10 a.m. - 10:30 a.m.
Share:

In this mini-workshop you will learn some of the basics of data science from the ASU Library’s Data Science and Analytics hands-on mini-workshops. We will show you how to import data, build models, and interpret results using multiple techniques in the Python programming language.

Three people of different genders and ethnicities discussing around a table while interactng with online Zoom attendees

Online

No registration required.

For more information contact:

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

Share:

In this mini-workshop you will learn some of the basics of data science from the ASU Library’s Data Science and Analytics hands-on mini-workshops. We will show you how to import data, build models and interpret results using multiple techniques in the Python programming language.

 

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

Online

No registration required.

For more information contact:

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

Last Event: Wednesday April 13 9 a.m. - Noon
April 13 9 a.m. - Noon
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You’re invited to a half-day in-person workshop with the ASU Library’s Data Science and Analytics Unit. We will complete hands-on training in the basics of visualizing data with Tableau, from making charts to composing dashboards. No previous experience required, but you will need your own laptop.

 Registration required.

Three people of different genders and ethnicities discussing around a table while interactng with online Zoom attendees

Hayden Library, Level Three

Registration required.

For more information contact:

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

Last Event: Wednesday April 20 10 a.m. - 11 a.m.
April 20 10 a.m. - 11 a.m.
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Join the ASU Library’s Data Science and Analytics Unit as students share what they learned to predict mortality rate with patient medical data. The data was part of a challenge from CodaLab and included parameters such as heart rate, blood pressure and existence of pre-existing conditions. This research could help improve patient outcomes and help save lives. Come join the fun!

Three people of different genders and ethnicities discussing around a table while interactng with online Zoom attendees

Hayden Library, Level Three

No registration required

For more information contact:

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

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