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BUSN662 - Applied Advanced Analytics

Course Details

Course Code: BUSN662 Course ID: 4728 Credit Hours: 3 Level: Graduate

This course provides four case scenario exercises in which students will use the tools learned to create viable case summaries and data-supported solutions. Exercises will range from intermediate to advanced levels of analytical ability and will allow students to create a portfolio demonstrating skills in various business functions and analytical tools. (Prerequisite: BUSN661)





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
12/31/18 - 05/31/19 06/03/19 - 07/28/19 Spring 2019 Session D 8 Week session
02/25/19 - 08/02/19 08/05/19 - 09/29/19 Summer 2019 Session I 8 Week session
04/29/19 - 10/04/19 10/07/19 - 12/01/19 Fall 2019 Session B 8 Week session

Current Syllabi

After successfully completing this course, you will be able to:

  1. Identify different models and tools used in data analysis, decision making, and dealing with uncertainty.
  2. Interpret results from analytics models to gain a competitive advantage in market place.
  3. Implement analytics in various functions of a business.
  4. Distinguish various models to identify the right model to apply to a real world scenario.
  5. Evaluate the relevance and accuracy of analytics modeling to a specific real world scenario.
  6. Develop a seven‐step process in analytics modeling to a particular real world scenario.
NameGrade %
Writing Assignments 30.00 %
Week 2 Team Project 10.00 %
Week 3 Team Project 10.00 %
Week 5 Team Project 10.00 %
Discussion Forums 20.00 %
Week 1 Forum 2.86 %
Week 2 Forum 2.86 %
Week 3 Forum 2.86 %
Week 4 Forum 2.86 %
Week 5 Forum 2.86 %
Week 6 Forum 2.86 %
Week 7 Forum 2.86 %
Problem Sets 35.00 %
Week 4 Problem Set 7.00 %
Week 7 Problem Set 7.00 %
Week 1 Problem Set 7.00 %
Week 2 Problem Set 7.00 %
Week 6 Problem Set 7.00 %
Final Exam 15.00 %
BUSN662 Final Exam 15.00 %

This book has an electronic version which is accessible via the ED MAP bookstore or at http://www.directtextbook.com/isbn/9781133629603. To become familiar with the bookstore process and procedures, including tutorials and e‐book access, please visit http://apus.campusguides.com/bookstore.

Book Title:Course materials will change for May 2019 & beyond. Please email booklist@apus.edu for an updated booklist.
ISBN:APUPOTI4
Book Title:Business Analytics: Data Analysis & Decision Making, 5th ed. (with Data Sets Printed Access Card)
ISBN:9781133629603
Publication Info:Cengage
Author:S. Christian Albright and Wayne L. Winston
Unit Cost:$330.02

Previous Syllabi

Not current for future courses.