Undergraduate Degrees, Majors and Concentrations

INFS4260 - Data Integration For Analytics
Summer 2019

Data Integration for Analytics (formerly "Data Warehousing") explores all the ways that modern data are integrated, transformed, modeled, and stored to support Data Analytics and Data Science. Specific course topics include: Traditional Data Warehouses, Data Lakes, and In-Memory Databases. Emphasis is placed on developing systems, skills, and strategies to create a comprehensive analytics environment that supports: Data Analytics, Data Mining/Predictive Analytics, Prescriptive/Preemptive Analytics, Geographic/Location Analytics, Real-Time Analytics, Social Media Analytics, Sentiment Analytics, and Big Data Analytics. This course is delivered using readings, discussions, video demonstrations, and hands-on software projects.
Prerequisite: INFS4240
3 Credits

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Day Codes
 M  Monday
 T  Tuesday
 W  Wednesday
 R  Thursday
 F  Friday
 S  Saturday
 U  Sunday

Schedule Book for All Active and Available Future Terms, Course starting with INFS4260
       
INFS4260-A Data Integration For Analytics
7 Seats     Credits: 3 Days: R
       Location: Moon Room: Wheatley Center 113
    Time: 06:00-10:00 pm Instructor: Davis
    Session: 3 (08/26 - 10/18/19) Term: Fall 2019
            More Info!
      Prerequisite: INFS4240
 
INFS4260-B Data Integration For Analytics
0/     Credits: 3 Days: ONLINE
       Location: Internet/Online Room:
    Time: - Instructor: Davis
    Session: 4 (10/19 - 12/13/19) Term: Fall 2019
            More Info!
      Prerequisite: INFS4240
      Course is taught Fully Online.