BADM 356

Fall 2018 All Classes

All Classes

Data Science and Analytics

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Credit: 3 hours.

In this course, you will learn not only data analytic techniques but also the managerial implications of competing with analytics. You will understand the managerial challenges of using data analytics to develop a strategic advantage through readings and case studies. You will learn techniques such as statistical inference, linear modeling, sentiment analytics, and data mining through hands-on exercises in R. R is an open source language that has grown in importance and usage in corporations. Finally, you will be able to present and interpret data through an understanding of data visualization techniques.

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BADM 356 class schedule data for fall 2018
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	70115	Lecture-Discussion	A	3:30PM -4:50PM	TR	Business Instructional Fac	Kim, S	Part of Term: 1 Date Range: 08/27/18-12/12/18 Section Info: This section will open to all students in the College of Business on Monday, April 16, 2018 at approximately 10:00 a.m. There are currently 5 reserved seats for College of Business international exchange students; any unused seats will be released to students meeting the restrictions on Friday, August 31, 2018 at approximately 10:00 a.m. Restriction(s): Restricted to Accountancy or Finance or Marketing or Information Sys & Info Tech or Supply Chain Management or Business Process Management or Management or Information Systems or Operations Management major(s) or minor(s). Restricted to students with Junior or Senior class standing.