BADM 356

Fall 2026 All Classes

All Classes

Data Science and Analytics

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 2026
	Status		CRN	Type	Section	Time	Day	Location	Instructor	Section Details
			70115	Lecture-Discussion	A	8:00AM -9:20AM	MW	2041 Business Instructional Fac	Liu, Z	Availability: Open (Restricted) Part of Term: 1 Date Range: 08/24/26-12/09/26 Section Info: In this course, you will learn about the analytics process of extracting business and economic insights, starting from a variety of structured and unstructured data sources. The course teaches the use of Python programming language for data science applications. You will learn techniques such as statistical inference, supervised and unsupervised machine learning, and text analytics through hands-on exercises in Python. This section will open to all students in the Gies College of Business on Monday, April 20, 2026 at approximately 10:00 a.m. There are currently 5 seats reserved for Gies College of Business international exchange students only (any exchange students outside of GCOB who try to register will be removed); any unused seats will be released to students meeting the restrictions on Friday, August 28, 2026 at approximately 10:00 a.m. Restriction(s): Restricted to Nondegree or Accountancy or Finance or Marketing or Information Sys & Info Tech or Supply Chain Management or Business Process Management or Management or Business Analytics or Information Systems or Operations Management or STR BUS DEV & Entrepreneurship or Strategy, Innovation & Entrep or Business + Data Science major(s) or minor(s). Restricted to students with Junior or Senior class standing.