Undergraduate Degrees, Majors and Concentrations

INFS4260 - Data Integration For Analytics

Fall 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: INFS4240
3 Credits

Click "Details" for a course description, instructor information, and a link to the instructor's website, where you can find a syllabus, first class information, and more...Registration Help

 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
Page 1 of 1
Credits: 3
Days: R
Location: Moon
Room: Wheatley Center 114
Time: 06:00-10:00 pm
Instructor: Davis
Session: 3 (08/31 - 10/23/20)
Term: Fall 2020
Prerequisite: INFS4240

Credits: 3
Days: ONLINE
Location: Internet/ Online
Room:
Time: -
Instructor: Davis
Session: 4 (10/24 - 12/18/20)
Term: Fall 2020
Prerequisite: INFS4240
Course is taught Fully Online.

Credits: 3
Days: ONLINE
Location: Internet/ Online
Room:
Time: -
Instructor: Davis
Session: 4 (03/06 - 04/30/21)
Term: Spring 2021
Prerequisite: INFS4240
Course is taught Fully Online.

Credits: 3
Days: R
Location: Moon
Room: Hale Center 304
Time: 06:00-08:50 pm
Instructor: Davis
Session: 1 (01/14 - 04/30/21)
Term: Spring 2021
Virtual Rotation: (details)
   
Prerequisite: INFS4240