BUS 3700 - Business Analytics
Fall 2026 Syllabus, Section A01, CRN 43250,
Credit hours: 3
Course Meeting Times
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Instructor
Xinyi Huang
Email: xhuang@ysu.edu
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 (3rd Ed) | Evans, James R | 9780135231678 |
The course readings are subject to change in the event of extenuating circumstances, research developments, current events, and/or to ensure better learning.
Assignments/Assessments
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Schedule of Topics and Assignments
| Week of | Reading(s) | Proposed Topic | Due/To Prepare for Class |
|---|---|---|---|
| 10/19 | Please see the Module 1 Course Material | Module 1: Descriptive Analytics Introduction | Discussion 1 due by 11:59 pm on 10/23 Exercise # 1 due by 11:59 pm on 10/25 |
| 10/26 | Please see the Module 2 Course Material | Module 2: Descriptive Analytics Methods | Discussion 2 due by 11:59 pm on 10/30 Exercise # 2 due by 11:59 pm on 11/01 Course Project Milestone # 1 -Proposal due by 11:59pm on 11/01 |
| 11/2 | Please see the Module 3 Course Material | Module 3: Probability Foundations | Discussion 3 due by 11:59 pm on 11/06 Exercise # 3 due by 11:59 pm on 11/08 Midterm exam due by 11:59 pm on 11/08 (covers material from Module 1 through Module 3) |
| 11/9 | Please see the Module 4 Course Material | Module 4: Diagnostic Analytics -- Inferential Statistics | Discussion 4 due by 11:59 pm on 11/13 Exercise # 4 due by 11:59 pm on 11/15 Descriptive Analytics Video Presentation due by 11:59pm on 11/15 |
| 11/16 | Please see the Module 5 Course Material | Module 5: Diagnostic Analytics -- Hypothesis Tests | Discussion 5 due by 11:59pm on 11/20 Exercise # 5 due by 11:59pm on 11/22 |
| 11/23 | Please see the Module 6 Course Material | Module 6: Predictive Analytics | Discussion 6 due by 11:59pm on 11/27 Exercise # 6 due by 11:59pm on 11/29 |
| 11/30 | Please see the Module 7 Course Material | Module 7: Hands-on Project and Final Exam | Final Video Presentation due by 11:59 pm on 12/02 Final Exam due by 11:59 pm on 12/02 (covers material from Module 4 through Module 6) |
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.