BUS 3700 06: Business Analytics

BUS 3700 - Business Analytics

Fall 2026 Syllabus, Section 06, CRN 44088,

Credit hours: 3

Course Meeting Times

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Instructor

Doori Song

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

Week of Proposed Topic Due/To Prepare for Class
8/24 Course Overview
Intro to Business Analytics
Basic Concepts of Statistics
Bio Form
Weekly Report
8/31 Descriptive Statistics (1)
Descriptive Statistics (2)
Test 1
9/7 SPSS Sessions
Probability
Expected Value & Binomial Model
SPSS Assignment
Weekly Report
9/14 Normal Distribution & Standardization
Test 2
Weekly Report
Practice Questions for Test 2
Practice Assignment
9/21 Statistical Inferences (1)
Statistical Inferences (2)
Weekly Report
9/28 Statistical Inferences (3)
Group Comparison
Weekly Report
10/5 Regression Analysis & Forecasting
Test 3
Practice Questions
Weekly Report

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.