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

Organized

21 responses

3.71

/ 5

strongly agree
29%
agree
38%
neither agree nor disagree
10%
disagree
24%
strongly disagree
0%
25%
50%
75%
100%

Clear Expectations

21 responses

3.95

/ 5

strongly agree
24%
agree
52%
neither agree nor disagree
19%
disagree
5%
strongly disagree
0%
25%
50%
75%
100%

Learned a Lot

21 responses

3.67

/ 5

strongly agree
19%
agree
48%
neither agree nor disagree
14%
disagree
19%
strongly disagree
0%
25%
50%
75%
100%

Fair Assessments

21 responses

3.76

/ 5

strongly agree
29%
agree
33%
neither agree nor disagree
24%
disagree
14%
strongly disagree
0%
25%
50%
75%
100%