Course Catalog

INFS6730 - Data Integration For Analytics

Spring 2020

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: INFS6240 or INFS6242
3 Credits

Important: Registration Information

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 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 INFS6730
Page 1 of 1
Credits: 3
Days: R
Location: Moon
Room: Wheatley Center 114
Time: 06:00-10:00 pm
Instructor: Davis
Session: 3 (08/30 - 10/22/21)
Term: Fall 2021
Prerequisite: INFS6240 or INFS6242 3 Credits

Credits: 3
Days: ONLINE
Location: Internet/ Online
Room:
Time: -
Instructor: Davis
Session: 4 (10/23 - 12/17/21)
Term: Fall 2021
Prerequisite: INFS6240 or INFS6242 3 Credits
Course is taught Fully Online.