BADM 356

Fall 2022 Part of Term 1

Part of Term 1
Aug 22-Dec 7

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 2022
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	70115	Lecture-Discussion	A	3:30PM -4:50PM	TR	Business Instructional Fac	Pant, G	Part of Term: 1 Date Range: 08/22/22-12/07/22 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 18, 2022 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 or STR BUS DEV & Entrepreneurship major(s) or minor(s). Restricted to students with Junior or Senior class standing.