Data Mining for Business

Prerequisite(s): INFO 570; and INFO 561 or INFO 589. Restriction(s): MBA, MS in Business Analytics, MS in Digital Marketing Analytics, MS in Human Resource Analytics, and Certificate Students only; other programs permitted with department approval. The course provides a hands-on introduction to data mining applications across different business scenarios. Students learn and apply supervised and unsupervised machine learning techniques to solve business cases. Students learn how to communicate the analytical insights that emerge from data mining to different stakeholders. Students develop awareness of ethical implications of data mining for business purposes.

Term 202440 #43404 INFO583
Permalink:
Instructor
Mamonov, Stanislav Email View Faculty Courses
Meeting Times
Online Course or no set meeting time
Enrollment

25

seats available

5

currently enrolled

30

maximum enrollment
Term 202440 #43405 INFO583
Permalink:
Instructor
Mamonov, Stanislav Email View Faculty Courses
Meeting Times
Online Course or no set meeting time
Enrollment

11

seats available

19

currently enrolled

30

maximum enrollment
Term 202440 #44442 INFO583
Permalink:
Instructor
Mamonov, Stanislav Email View Faculty Courses
Meeting Times
Location: UNIV 1010 (M)
@ 17:30 - 20:00
From 2024-09-10 to 2024-09-10
Location: UNIV 1010 (M)
@ 17:30 - 20:00
From 2024-09-24 to 2024-09-24
Location: UNIV 1010 (M)
@ 17:30 - 20:00
From 2024-10-08 to 2024-10-08
Location: UNIV 1010 (M)
@ 17:30 - 20:00
From 2024-10-22 to 2024-10-22
Enrollment

6

seats available

36

currently enrolled

42

maximum enrollment
Term 202440 #46053 INFO583
Permalink:
Instructor
Mamonov, Stanislav Email View Faculty Courses
Meeting Times
Location: SBUS 320 (M)
@ 17:30 - 20:00
From 2024-09-05 to 2024-09-05
Location: SBUS 320 (M)
@ 17:30 - 20:00
From 2024-09-19 to 2024-09-19
Location: SBUS 320 (M)
@ 17:30 - 20:00
From 2024-10-03 to 2024-10-03
Location: SBUS 320 (M)
@ 17:30 - 20:00
From 2024-10-17 to 2024-10-17
Enrollment

14

seats available

16

currently enrolled

30

maximum enrollment

Section Tally

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