# 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
Prereqs:
none

# Past Term Data
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2025 | Engineering Data Analytics (4c) Esra Agca Aktunc Seats Taken: 0/15 |  |
2024 | Engineering Data Analytics (4c) Esra Agca Aktunc Seats Taken: 11/15 |  |
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