MSIS672-01C Enterprise Data Mining and Predictive Analytics (with Josephine Mazzi Namayanja)

MSIS672-01C Enterprise Data Mining and Predictive Analytics (with Josephine Mazzi Namayanja)

This course provides an introduction to data mining by exposing the theory behind the analytical concepts. It discusses data mining techniques and their use in strategic business decision making. This is a hands-on course that provides an understanding of the key methods of data visualization, exploration, association, classification, prediction, time series forecasting, clustering, induction techniques, neural networks, and others. During the semester-long course, students work in teams on solving a business problem of their choice, using data mining tools and applying them to data (e.g., SPSS modeler). Data Mining provides a solution to organizations requests for emerging operational patterns that may add value to their business. The course includes the development of concepts used for building frameworks needed in analyzing useful patterns in databases through the application of practical methods.

Prerequisite(s): MBAMS 640 AND College of Management graduate Department Permission Required

Credit(s):

3

Location:

Online

Day(s) and Time(s):

Feb 3-May 8

Availability:

Permission required (see description for more information).
Class Number:9899_Spr2020
Your Price: $1,725.00

Important Dates
Shopping cart opens: November 4, 2019
Deadline for 100% refund: February 10, 2020
Registration with Permission ends: February 18, 2020
Deadline for 50% refund: February 18, 2020