BUS 6930 A01: Business Analytics

BUS 6930 - Business Analytics

Summer 2026 Syllabus, Section A01, CRN 30840,

Credit hours: 3

Course Meeting Times

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Instructor

Yogesh Uppal

Professional Qualifications:
Ph. D., Economics, University of California, Irvine
Master’s, Economics, Delhi School of Economics, University of Delhi
Bachelor’s, Economics University of Delhi

Dr.

Email: yuppal@ysu.edu

Office: WCBA 3358

Office Phone: 330-941-3494

Preferred Contact Method: Email

Communication Expectations:
Will respond to messages with in 24 hours.

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Course Description

6930. Business Analytics. Explore business analytics through a comprehensive approach that develops the skills and tools needed to transform data into actionable insights for strategic decision-making. Designed for professionals aiming to excel in a data-driven economy, the content bridges the gap between business strategy and analytical methods, ensuring practical application in real-world scenarios. Crosslisted with: OMBA 6930. 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.  

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 Reading(s) Proposed Topic Due/To Prepare for Class
5/11 Please see the Module 1 Course Material Module 1: Descriptive Analytics Introduction Discussion 1 due by 11:59 pm on 05/15
Exercise # 1 due by 11:59 pm on 05/17
5/18 Please see the Module 2 Course Material Module 2: Descriptive Analytics Methods Discussion 2 due by 11:59 pm on 05/22
Exercise # 2 due by 11:59 pm on 05/24
Course Project Milestone # 1 -Proposal due by 11:59pm on 05/24
5/25 Please see the Module 3 Course Material Module 3: Probability Foundations Discussion 3 due by 11:59 pm on 05/29
Exercise # 3 due by 11:59 pm on 05/31
Midterm exam due by 11:59 pm on 05/31 (covers material from Module 1 through Module 3)
6/1 Please see the Module 4 Course Material Module 4: Diagnostic Analytics -- Inferential Statistics Discussion 4 due by 11:59 pm on 06/05
Exercise # 4 due by 11:59 pm on 06/07
Descriptive Analytics Video Presentation due by 11:59pm on 06/07
6/8 Please see the Module 5 Course Material Module 5: Diagnostic Analytics -- Hypothesis Tests Discussion 5 due by 11:59pm on 06/12
Exercise # 5 due by 11:59pm on 06/14
6/15 Please see the Module 6 Course Material Module 6: Predictive Analytics Discussion 6 due by 11:59pm on 06/19
Exercise # 6 due by 11:59pm on 06/21
6/22 Please see the Module 7 Course Material Module 7: Hands-on Project and Final Exam Final Video Presentation due by 11:59 pm on 06/22
Group Member Evaluations Step 1 by 11:59 pm on 06/23
Group Member Evaluations Step 2 by 11:59 pm on 06/24
Final Exam due by 11:59 pm on 06/24 (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.