Business Data Mining

Instructor:
Robert C Mahaney
420
Credits:
3.0
001
Building:
Business and Economics Bldg
Room:
Rm.257
Semester:
Fall 2023
Start Date:
End Date:
Name:
Business Data Mining
Requisites:

Prereq: AN 300.

Class Type:
LEC
8:00 am
9:15 am
Days:
MW
Note:
Computer requirements: Analytics courses require a working computer. Although not required, Windows 10 or 11 is strongly recommended over the Mac OS or a Mac running Windows emulation software. For specific requirements please contact Gatton IT at 859-257- 5892 or R2d2@uky.edu.

Data mining is concerned with tools and techniques to numerically and visually explore vast data sets, classify data, predict outcomes, and identify associations, patterns, and exceptional events. Such capabilities enable firms to - for example -- better segment markets, evaluate and classify stocks, identify prospective customers, predict contingencies and catastrophes, identify defaulters and fraudulent transactions, measure churn, identify threats, perform service requests, and bundle goods and services. Such capabilities are critical in global, competitive business settings. This course is an introduction to the rapidly blossoming field of Data Mining.

Data mining is concerned with tools and techniques to numerically and visually explore vast data sets, classify data, predict outcomes, and identify associations, patterns, and exceptional events. Such capabilities enable firms to - for example -- better segment markets, evaluate and classify stocks, identify prospective customers, predict contingencies and catastrophes, identify defaulters and fraudulent transactions, measure churn, identify threats, perform service requests, and bundle goods and services. Such capabilities are critical in global, competitive business settings. This course is an introduction to the rapidly blossoming field of Data Mining.

MKT