Course Catalog

INFS6730 - Data Integration For Analytics

Fall 2023

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
3 Credits

Important: Registration Information

Course Registration will occur in the Banner system. For information on how to register and planning tools to ensure that you're Ready to Register please visit:
Introducing Banner Self-Service
Preparing to register
Login to Banner Self-Service


 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: Hale Center 306
Time: 06:00-10:00 pm
Instructor: Shubock
Session: 5 (03/09/2024 - 05/03/2024)
Term: Spring 2024
Prerequisite: INFS6240 or INFS6242 3 Credits

Credits: 3
Days: ONLINE
Location: Internet/ Online
Room:
Time: -
Instructor: Davis
Session: 4 (03/09/2024 - 05/03/2024)
Term: Spring 2024
Prerequisite: INFS6240 or INFS6242 3 Credits
Course is taught Fully Online.

Credits: 3
Days:
Location: Internet/ Online
Room:
Time:
Instructor: ** Staff **
Session: 4 (06/29/2024 - 08/23/2024)
Term: Summer 2024
Prerequisite: INFS6240 or INFS6242 3 Credits
Course is taught Fully Online.