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How Data Science is Preventing College Dropouts and Advancing Student Success

Event Details

How Data Science is Preventing College Dropouts and Advancing Student Success

Time: November 17, 2015 from 9am to 10am
Location: Online
Website or Map: http://goo.gl/ZHU6oZ
Event Type: dsc, webinar
Organized By: Bill Vorhies, Editorial Director -- Data Science Central
Latest Activity: Oct 21, 2015

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Event Description

Space is limited.

Reserve your Webinar seat now

Educational institutions have a wealth of data around student demographics, admissions, academic performance and more. In addition to these structured data sources, they also have unstructured data from sources such as student activity on academic discussion forums, campus network access and ID card usage. All of these data sources can be brought together in an institutional data lake to predict and influence student behavior – including attendance patterns, academic performance and time to graduate.

In this next DSC webinar, two Pivotal data scientists will discuss a recent collaborative project with a top university, in which many data sources were used to build a 360-degree profile of student activity on campus and help predict student success. The session will also provide an overview of the data science pipelines that were developed for training and scoring multiple models in parallel, in-database. These pipelines are now being used to predict student metrics (such as GPA, course grade and time to graduate), and even as intervention tools to help prevent students from dropping out.

Speakers

Regunathan Radhakrishnan, Principal Data Scientist -- Pivotal
Srivatsan Ramanujam
Principal Data Scientist -- Pivotal

Hosted byBill Vorhies, Editorial Director -- Data Science Central

Again, Space is limited so please register early:

Reserve your Webinar seat now

 

After registering you will receive a confirmation email containing information about joining the Webinar.

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