# Data Analytics

## CSCI-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:
one of:
ITWS-4350 Data Science CSCI-4350 Data Science ERTH-4350 Data Science

# Past Term Data
Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Simple View
Detailed View

| Spring | Summer | Fall
--- | --- | --- | ---
| (Session 1) | (Session 2) |
2025 | Data Analytics (3c) Thilanka Munasinghe Seats Taken: 0/10 |  |
2024 | Data Analytics (3c) Thilanka Munasinghe Seats Taken: 9/10 |  | Data Analytics (3c) Ahmed Mohamed Morad Mohamed Maher Eleish Seats Taken: 8/10
2023 | Data Analytics (3c) Thilanka Munasinghe Seats Taken: 8/10 |  | Data Analytics (3c) Thilanka Munasinghe Seats Taken: 9/10
2022 | Data Analytics (3c) Thilanka Munasinghe Seats Taken: 9/10 |  | Data Analytics (3c) Thilanka Munasinghe Seats Taken: 10/10
2021 |  |  |
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2005 | The Human-computer Interface (4c) Michael M. Danchak Seats Taken: 25/30 |  |
2004 |  |  |
2003 |  |  | Human Comp Interface (4c) Michael M. Danchak Seats Taken: 44/60
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