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BUSN450 - Advanced Analytics

Course Details

Course Code: BUSN450 Course ID: 4594 Credit Hours: 3 Level: Undergraduate

This course is designed to lead students through various projects and business problem scenarios to enable them to apply concepts learned to quantify elements of alternative elimination, assess data pertinent to the overall decision-making process, and to gain and understanding of the different business functions and how data is used differently in each area. This course requires Microsoft Excel 2010 or higher. (Prerequisite: BUSN350)





Prerequisites

Course Schedule

Registration Dates Course Dates Session Weeks
11/26/18 - 05/03/19 05/06/19 - 06/30/19 Spring 2019 Session I 8 Week session
01/28/19 - 06/28/19 07/01/19 - 08/25/19 Summer 2019 Session B 8 Week session
03/25/19 - 08/30/19 09/02/19 - 10/27/19 Summer 2019 Session D 8 Week session

Current Syllabi

After successfully completing this course, you will be able to

CO-1: Analyze how historical trends in data utilization within organizations are impacting organizational decision-making.

CO-2: Organize data into quantifiable or usable spreadsheet format.

CO-3: Apply the basic principles of probability to business decision-making.

CO-4: Differentiate how various functions within the organization use data and statistical methods (e.g. marketing vs. supply chain management vs. human resources).

CO-5: Evaluate appropriate uses for sampling in business decision-making.

CO-6: Assess the efficiency and efficacy of data-sharing protocols and infrastructure within the workplace setting.

CO-7: Evaluate the appropriate level of reporting when given varying statistical outputs and stakeholders.

CO-8: Distinguish how various roles within the organization will influence the need for data for, and use information in, the decision-making process.

NameGrade %
Discussion 35.00 %
Week 8 Discussion 4.38 %
Week 7 Discussion 4.38 %
Week 6 Discussion 4.38 %
Week 5 Discussion 4.38 %
Week 4 Discussion 4.38 %
Week 3 Discussion 4.38 %
Week 2 Discussion 4.38 %
Week 1 Discussion 4.38 %
Assignments 65.00 %
Case Analysis #1 13.00 %
Case Analysis #2 26.00 %
Case Analysis #3 26.00 %

Web Sites

In addition to the required course texts, the following public domain web sites are useful. Please abide by the university’s academic honesty policy when using Internet sources as well. Note web site addresses are subject to change.

Site Name

Web Site URL/Address

American Psychological Association (APA) Style Website

www.apastyle.org

Purdue Online Writing Lab

http://owl.english.purdue.edu/owl/resource/560/01/

YouTube Video on Formatting an APA Style Paper

http://www.youtube.com/watch?v=9pbUoNa5tyY&feature=related

Regression Examples

http://www.stat.ufl.edu/~winner/Regression_Examples.html

YouTube Videos on Microsoft Excel for Beginners

http://www.youtube.com/playlist?list=PL6D44A8F7E77DB825

Business Analytics Techniques

http://www.businessanalytics.com/

Book Title:Enterprise Analytics: Optimize Performance, Process, and Decisions Through Big Data - e-book available in the APUS Online Library; link also provided in the classroom Lessons section.
ISBN:9780133039436
Author:Davenport
Unit Cost:$37.46

Previous Syllabi

Not current for future courses.