Data Analytics

BCBP-4600

The world at-large is confronted with increasingly larger and complex sets of structured/unstructured information; from cyber and human sources. Traditional enterprises are moving toward analytics-driven approaches for core business functions. Data and information analytics extends analysis (descriptive models of data) by using data mining and machine learning methods, with optimization and validation, to recommend action or guide and communicate decision-making. Thus, analytics is an entire methodology rather than individual analyses or analysis steps.

3 credits
Prereqs:
none

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2024
Data Analytics (3c)
  • Thilanka Munasinghe
Seats Taken: 1/5
Data Analytics (3c)
  • Ahmed Mohamed Morad Mohamed Maher Eleish
Seats Taken: 3/5
2023
Data Analytics (3c)
  • Thilanka Munasinghe
Seats Taken: 3/1
2022
Data Analytics (3c)
  • Thilanka Munasinghe
Seats Taken: 0/1
2021
Data Analytics (3c)
  • Thilanka Munasinghe
Seats Taken: 1/1
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