2020-2021 Graduate Catalog 
    
    Feb 21, 2024  
2020-2021 Graduate Catalog [ARCHIVED CATALOG]

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CIS 606 - Applied Data Mining and Analysis of Big Data


This course will emphasize the extraction, transformation, and preparation of data from traditional relational databases, NoSQL, or software ecosystems such as Hadoop for analytical purposes. Students will be introduced to data wrangling, munging, and scraping of both structured and unstructured data. Furthermore, students will also be introduced to parallel computing for big data such as MapReduce and query languages like Apache Hive. An overview of data mining tools and techniques used to realize unseen patterns will be examined through the application of traditional statistical analysis and machine learning techniques.
Prerequisite(s): MIS 605  and MBA 576  is normally taken before this course; however, the Program Director may make an exception.
Credits: 3



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