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Apr 24, 2024
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EMGT 6220 - Data Acquisition and Predictive Analytics
The objective of this course is to teach students modern methods for data analysis and predictive analytics. Students will gain the knowledge to develop advanced queries and apply statistical methods and machine learning to analyze the data and make predictions in the engineering management context.
Requisites: EMGT 6100 and EMGT 6200; no credit if taken after MBA 6325
Credit Hours: 3
Repeat/Retake Information: May not be retaken.
Lecture/Lab Hours: 3.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes:
- Students will be able to evaluate and redesign an existing database and apply basic and advanced SQL queries to analyze the data.
- Students will be able to apply various data preparation methods to verify, cleanse, and visualize data sets.
- Students will be able to analyze data and predict outcomes using various statistical modeling software programs.
- Students will be able to apply statistical inference and machine learning methods on historical data to find patterns.
- Students will be able to decide on the best course of action in the engineering management context, based on the critical evaluation using predictive analysis.
- Students will be able to critically research and review the state of the art literature in data analytics.
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