BUS 3700 02: Business Analytics

BUS 3700 - Business Analytics

Fall 2026 Syllabus, Section 02, CRN 42039,

Credit hours: 3

Course Meeting Times

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Instructor

Doori Song

Professor

Email: dsong@ysu.edu

Public Instructor Information

Instructor Title: 
Professor (Dept of Management and Marketing)                                                                                            

Professional Qualification:
Ph.D., Mass Communication (Advertising), University of Florida
Master’s, Advertising, Michigan State University
Bachelor’s, Business Administration, Dankook University

Office: 3371 Williamson Hall

Phone: 330.941.1890

Private Instructor Information

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Course Description

3700. Business Analytics. Business analytics involves the acquisition, evaluation, and analysis of information for decision-making. This course introduces students to the application of business statistics enabling evidence-based decision-making and problem solving and will cover the four areas of analytics. These are: 1) descriptive (what happened?); 2) diagnostic (why did it happen?); 3) predictive (what will happen and is there a pattern?); and prescriptive (how can we make it happen?). Prereq.: BUS 2600, 2.5 GPA. 3 s.h.

Course Readings

Group Title Author ISBN
Optional Business Analytics James R. Evans 9780135229309

The course readings are subject to change in the event of extenuating circumstances, research developments, current events, and/or to ensure better learning.  

Additional Course Materials

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Course Learning Outcomes/Objectives/Goals

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How to Succeed in This Course

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Attendance Expectations

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Late Work Submission Policy

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Additional Course Expectations

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Artificial Intelligence Policy Statement

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Assignments/Assessments

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Grading and Grading Scale

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University Policies

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Schedule of Topics and Assignments

Day Date Proposed Topic Due/To Prepare for Class
Mon 8/24 Course Overview
Wed 8/26 Intro to Business Analytics
Mon 8/31 Descriptive Statistics (1) Bio Form and Team Info Due
Wed 9/2 Descriptive Statistics (2)
Mon 9/7
Wed 9/9 SPSS Introduction (1)
Mon 9/14 SPSS Introduction (2)
Wed 9/16 SPSS Introduction (3)
Mon 9/21 Probability & Expected Values & Binomial Model
Wed 9/23 Test 1
Mon 9/28 Normal Distribution & Standardization (1)
Wed 9/30 Normal Distribution & Standardization (2)
In-Class Activity: Normal Distribution & Standardization
Mon 10/5 Practice Questions (1)
Wed 10/7 Practice Questions (2)
Mon 10/12 Review Day
Wed 10/14 Test 2
Mon 10/19 Statistical Inference (1)
Wed 10/21 Statistical Inference (2)
Mon 10/26 Statistical Inference (3)
Wed 10/28 Group Comparison
Mon 11/2 Regression Analysis & Forecasting
Wed 11/4 Practice Questions (3)
Mon 11/9 Practice Questions (4)
Wed 11/11
Mon 11/16 Review Day Individual Report Due
Wed 11/18 Test 3
Mon 11/23 Team Project Day
Wed 11/25
Mon 11/30 Group Project Presentation (1) Final project report Due
Wed 12/2 Group Project Presentation (2) The team member eval Due
Mon 12/7 Make-up Test
Wed 12/9

The course schedule, policies, procedures, and assignments in this course are subject to change in the event of extenuating circumstances, by mutual agreement, and/or to ensure better learning. 

Additional Information

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