# Data Analytics

## MATP-4450

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 in an entire methodology rather than individual analyses or analysis steps.

3 credits
Cross-listed with:
ITWS-4600 Data Analytics ITWS-6600 Data Analytics
Prereqs:
none

# 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) |
2026 |  |  |
2025 |  |  |
2024 |  |  |
2023 |  |  |
2022 |  |  |
2021 |  |  |
2020 |  |  |

2019

Data Analytics (3c)

- Thilanka Munasinghe

Seats Taken: 2/30

2018

Data Analytics (3c)

- Peter A Fox

Seats Taken: 13/13

Data Analytics (3c)

- Peter A Fox

Seats Taken: 5/5

2017 |  |  |
2016 |  |  |
2015 |  |  |
2014 |  |  |
2013 |  |  |
2012 |  |  |
2011 |  |  |
2010 |  |  |
2009 |  |  |
2008 |  |  |
2007 |  |  |
2006 |  |  |
2005 |  |  |
2004 |  |  |
2003 |  |  |
2002 |  |  |
2001 |  |  |
2000 |  |  |
1999 |  |  |
1998 |  |  |