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MGMT-6160 - Applied Analytics and Predictive Modeling
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< meta property = "og:description" content = "Business analytics enables organizations to leverage large volumes of data in order to make more informed decisions. It encompasses a range of approaches to integrating, organizing, and applying data in various settings. This course develops an understanding of concepts in business analytics and data manipulation. In particular, through hands-on experience with a range of techniques students will learn to work with large data sets, analyze trends and segments, and develop models for prediction and forecasting. This course is part of the Master's program in Business Analytics and builds on foundations learned in the fall semester." >
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Applied Analytics and Predictive Modeling
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MGMT-6160
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Business analytics enables organizations to leverage large volumes of data in order to make more informed decisions. It encompasses a range of approaches to integrating, organizing, and applying data in various settings. This course develops an understanding of concepts in business analytics and data manipulation. In particular, through hands-on experience with a range of techniques students will learn to work with large data sets, analyze trends and segments, and develop models for prediction and forecasting. This course is part of the Master's program in Business Analytics and builds on foundations learned in the fall semester.
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3 credits
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Cross-listed with:
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< a class = "course-pill" href = "MGMT-4160.html" > MGMT-4160 Applied Analytics and Predictive Modeling< / a >
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Prereqs:
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none
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Past Term Data
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Offered
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Not Offered
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Offered as Cross-Listing Only
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No Term Data
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Simple View
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Detailed View
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< th class = "spring season-label" > Spring< / th >
< th class = "summer season-label" colspan = "2" > Summer< / th >
< th class = "fall season-label" > Fall< / th >
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< th colspan = "2" > < / th >
< th class = "summer2 midsum-label" > (Session 1)< / th >
< th class = "summer3 midsum-label" > (Session 2)< / th >
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< th class = "year" > 2023< / th >
< td class = "term spring offered" >
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App Analytics & Pred Modeling (3c)
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< ul class = "prof-list" >
< li > Minor E. Gordon< / li >
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Seats Taken: 37/50
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2022< / th >
< td class = "term spring offered" >
< div class = "view-container detail-view-container" >
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App Analytics & Pred Modeling (3c)
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< ul class = "prof-list" >
< li > Lydia Manikonda< / li >
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< span class = "course-capacity" >
Seats Taken: 49/50
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2021< / th >
< td class = "term spring offered" >
< div class = "view-container detail-view-container" >
< span class = "term-course-info" >
App Analytics & Pred Modeling (3c)
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< ul class = "prof-list" >
< li > Lydia Manikonda< / li >
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< span class = "course-capacity" >
Seats Taken: 47/50
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2020< / th >
< td class = "term spring offered" >
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App Analytics & Pred Modeling (3c)
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< ul class = "prof-list" >
< li > Lydia Manikonda< / li >
< li > Yuan Xu< / li >
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Seats Taken: 64/80
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2019< / th >
< td class = "term spring offered" >
< div class = "view-container detail-view-container" >
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App Analytics & Pred Modeling (3c)
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< ul class = "prof-list" >
< li > Dorit Nevo< / li >
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Seats Taken: 39/50
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2018< / th >
< td class = "term spring offered" >
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Adv Analytics & Pred Modeling (3c)
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< ul class = "prof-list" >
< li > Dorit Nevo< / li >
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< span class = "course-capacity" >
Seats Taken: 39/40
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< tr >
< th class = "year" > 2017< / th >
< td class = "term spring offered" >
< div class = "view-container detail-view-container" >
< span class = "term-course-info" >
Advanced Analytics (3c)
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< ul class = "prof-list" >
< li > Dorit Nevo< / li >
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< span class = "course-capacity" >
Seats Taken: 24/30
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2016< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2015< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2014< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2013< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2012< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2011< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2010< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2009< / th >
< td class = "term spring not-offered" >
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< td colspan = "2" class = "term summer not-offered" >
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< td class = "term fall not-offered" >
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< th class = "year" > 2008< / th >
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< td class = "term fall not-offered" >
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< th class = "year" > 2007< / th >
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< td class = "term fall not-offered" >
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