DTI 6220 Data Analytics and Business Intelligence

1.5 units
Digital Transformation and Innovation
Faculty of Engineering
Introduction to business data collection, data pre-processing, data warehouses, data marts, and online analytical processing. Data mining tasks including classification, clustering and association rules. Data mining model building, tools and techniques including decision trees, neural networks, and regression analysis. Application of these techniques in business including CRM, target marketing, credit scoring, churn, survival analysis, and fraud detection.

Components:

Lecture

Previously Offered Terms:

Fall
All Professors
A Average (8.793)
Most Common: A (76%)
29 students

P

S

NS

F

D

C

B

A-

A+

Olubisi Atinuke Runsewe

Fall 2022 - A00

A Average (8.793)
Most Common: A (76%)
29 students

P

S

NS

F

D

C

B

A-

A+