INFS4260-A Data Integration For Analytics (Fall 2018)
Course Details
Session, Dates: 3 (08/25/2018 - 10/19/2018)
Days: R
Time: 06:00 - 10:00 pm
Location: Moon Campus
Room: Hale Center 306
Seats Available: Course Full, Choose another
Credits: 3
Course Description
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
Prerequisite: INFS4240
Course Materials
About the Instructor(s)
John C. Stewart, Ph.D.
stewartj@rmu.edu
412-397-6442 phone
412-397-6469 fax
Wheatley Center 326
Profile
Professor of Computer and Information Systems
Computer and Information Systems
stewartj@rmu.edu
412-397-6442 phone
412-397-6469 fax
Wheatley Center 326
Profile