# Engineering Data Analytics

## ISYE-4370

Transforming data into useful information and actionable insights for decision-making is an important skill that is becoming indispensable for scientists and engineers. The objective of this course is to introduce data analytics tools to engineers through hands-on computational applications. Topics covered include probability and statistics review, data visualization, linear regression, time-series analysis, forecasting, optimization, simulation, and spreadsheet models. Applications will be in Python, MATLAB, and Excel.

4 credits
Cross-listed with:
ISYE-6370 Engineering 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
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| (Session 1) | (Session 2) |

2026

Engineering Data Analytics (4c)

- Esra Agca Aktunc

Seats Taken: 9/45

2025 |  |  |

2024

Engineering Data Analytics (4c)

- Esra Agca Aktunc

Seats Taken: 11/15

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