Aug 25, 2026  
2017-2018 Graduate Catalog 
    
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2017-2018 Graduate Catalog [NOTE!!!! THIS IS AN ARCHIVED CATALOG. FOR THE CURRENT CATALOG, GO TO CATALOG.NIU.EDU]

OMIS 665 - Big Data Analytics for Business

In-depth study of the concepts, methods, and tools for Data Science and Big Data Analytics with the focus on business scenarios. Topics include the Data Analytics Lifecycle, Basic Data Analytics Methods using the open-source RStudio, Advanced Analytics Theories and Methods including Clustering, Association Rules, Linear and Logistic Regression, Classification and Time Series Analysis, and Advanced Analytics Technology and Tools including the open-source software MapReduce and Hadoop.

Prerequisites & Notes
PRQ: OMIS 652 or consent of department.

Credits: 3