Warrington College of Business Administration
Department of Information Systems and Operations Management
QMB 4930: Business Data Analytics
Spring 2022 | Module 4
QMB 4930: BUSINESS DATA ANALYTICS
COURSE SYLLABUS
GENERAL INFORMATION:
Class Times:
Class Location:
Professor:
Office; Phone:
Email:
Office Hours:
Course Website:
Recommended
Textbooks:
Tuesday, Thursday | Period 3 - 4 (9:35 AM - 11:30 AM)
HVNR 230
Dr. Aditi Mukherjee
STZ 360, 39-20648
aditimukherjee@ ufl.edu
The subject line should contain QMB4930, otherwise the email may end up in my junk email
and you may not get a response in a timely manner.
Please check the calendar on Canvas for the date and times of Zoom Office Hours
All information and materials pertaining to this course will be made available through the
course website on the Canvas (https://elearning.ufl.edu/).
Business Analytics, 3rd edition
Authors: James R. Evans
Pearson Publishing | Amazon
ISBN-13: 9780135231678
Business Intelligence, Analytics, and Data Science: A Managerial Perspective, 4th Edition
Authors: Ramesh Sharda, Dursun Delen, Efraim Turban
Pearson Publishing | Amazon
ISBN: 0134633288 or ISBN-13: 978-0134633282
Required Software: A PC/Windows computing environment is preferred for this class.
Microsoft Excel 2016 or newer (Excel 2019 or 365).
Tableau | Python
COURSE GOALS:
Each year, a vast amount of data is generated, collected and stored, and has become an importation strategic asset for
many organizations. This increase in data availability requires decision makers to rely on the systematic analysis and
interpretation of this data to make strategic decisions. This course provides an overview of the fundamentals concepts
and tools needed to support effective data-driven decision making. Students will be encouraged to develop dataoriented thinking and emphasis will be placed on applications, concepts and interpretation of results, rather than theory
and calculations.
The course will cover the following topics:
1) Overview of the business analytics environment
2) Descriptive Analytics and Data Visualization
3) Predicative Analytics
4) Prescriptive analytics
All the concepts covered in this course will be reinforced using real-world examples using Excel, Tableau and Python.
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QMB 4930: Business Data Analytics
Spring 2022 | Module 4
Warrington College of Business Administration
Department of Information Systems and Operations Management
GRADE COMPOSITION:
Your grade for the course will be determined according to the following scheme:
• Syllabus Quiz
3 % • Tests
16 % • Projects
• Quizzes
45 %
36 %
The class grades will be assigned using the University of Florida's grading scale described in the table below. For more
information, please refer to the University of Florida Grading Policy.
Score
Grade
Score
Grade
Score
Grade
Score
Grade
Score
Grade
[0-56]
E
[93-100] A
[85-88] B+
[74-76]
C+
[64-66]
D+
[89-92]
[80-84] B
[70-73]
C
[60-63]
D
[77-79] B-
[67-69]
C-
[57-59]
D-
A-
A. Syllabus Quiz
The Syllabus Quiz must be completed during first week of class. This quiz is not timed and is open notes. The exact
deadlines for this portion of the course grade can be found on course website.
B. Quizzes
The concepts and tools being taught in class will be reinforced using quizzes. There will be 12 quizzes in total.
Date, Time & Location: A new quiz will be assigned for every class using quiz tool in the course website on Canvas.
The quizzes will be timed and will be available from 11 am on Tuesdays & Thursdays to 11:59pm the following day.
Materials: The quizzes will be based on the assigned readings and video lectures from the previous class and will be
listed in the quiz description. The answers will be made available to students after the deadline for the quiz has
passed. All quizzes are individual assignments and will be closed book and closed notes.
Grades: Quiz grades will be made available immoderately after the deadline has passed. Four of the lowest quiz
scores will be dropped. Each quiz will be worth 2% of the total grade.
Makeup & Extensions: No makeups or extensions are available for any of the quizzes in this course.
C. Tests
The course content is divided into 4 parts, and there will be one test covering the topics for each of the parts.
Date, Time & Location: The tests will be administered using the quiz tool in the course website on Canvas and
proctored using HonorLock. Please review the course calendar on Canvas to for the dates and times that the tests will
be available.
Materials: The tests will be based on the assigned readings and video lectures on the topics associated for each test.
All tests are individual assignments and will be closed book and closed notes.
Grades: Test grades will be made available immediately after the deadline has passed. The lowest score will be
dropped. Each test will be worth 15% of the total grade.
Makeup: No makeup tests will be provided for this course, unless it is due to a University of Florida sanctioned
excuse. Proper documentation will have to be provided in support, clearly indicating: (a) the name of the student, (b)
the reason for absence and (c) the dates of the absence. This documentation must also be verified by the Dean of
Students Office. Please inform the instructor at least one week prior to the scheduled test for a reschedule date.
Requests made less than one week prior to the test, or any requests made after the test deadline will not be
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Warrington College of Business Administration
Department of Information Systems and Operations Management
QMB 4930: Business Data Analytics
Spring 2022 | Module 4
considered, and failure to take the test at the given date and time will result in a zero grade. In case of a medical
emergency, you please inform the instructor within one week after the test. Appropriate documentation must also
be verified by the Dean of Students Office. Requests made after one week of the test date will not be considered.
Exam Conflicts: Please review the UF Policy for Examination Conflicts. All exam dates are available on the course
website on Canvas from the beginning of the semester. If you have a conflict, it is your responsibility to inform the
instructor via email during the first week of the course.
D. Projects
This course will require students to complete three projects, each on a different Business Analytics tool.
Date, Time & Location: The projects for this class must be completed and submitted using the assignments tool in
the course website on Canvas.
Materials: The projects will be based on the tutorials posted on the course website.
Grades: Project grades will be posted within a week after the deadline has passed. All projects must be completed,
and no scores will be dropped.
Makeup or Extensions: No makeup projects or extensions will be provided for this course.
E. Extra Credit
There are no extra credit assignments for this course.
F. Regrading Request
Please note that any request to re-grade any component of your submissions (quiz, tests or projects) must be made
within the week you receive the grade. Given the speed with which the course progresses, any request beyond this
deadline cannot be considered. The only exception to this rule is a documented emergency. All requests must be
made in writing directly to aditimukherjee@ufl.edu.
CLASS POLICIES:
A. Class Attendance, Participation and Discipline
A1. Attendance: Class sessions will provide useful information – both for learning the topics covered in the course
and for working on projects. The text and other reading materials alone are not likely to be sufficient for one to do
well in the course. Attendance is not compulsory during regular classes. However, if you miss a class, you will be
responsible for all materials discussed during class and assigned in the class readings for that class. There will be no
make-up class assignments, exercises, crosswords, quizzes or exams.
The Zoom class sessions will be audio visually recorded for students in the class to refer back and for enrolled
students who are unable to attend the live sessions. Students who participate with their camera engaged or utilize a
profile image are agreeing to have their video or image recorded. If you are unwilling to consent to have your profile
or video image recorded, be sure to keep your camera off and do not use a profile image. Likewise, students who
un-mute during class and participate orally are agreeing to have their voices recorded. If you are not willing to
consent to have your voice recorded during class, you will need to keep your mute button activated and
communicate exclusively using the "chat" feature, which allows students to type questions and comments live. The
chat will not be recorded or shared. As in all courses, unauthorized recording and unauthorized sharing of recorded
materials is prohibited.
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Warrington College of Business Administration
Department of Information Systems and Operations Management
QMB 4930: Business Data Analytics
Spring 2022 | Module 4
A2. Participation: Student participation in class discussions is crucial because it introduces alternative viewpoints
and helps clarify concepts for the class. I expect highest level of participation during the entire module. You should
complete the assigned readings before coming to class. I will expect you to be ready with answers to questions
related to the readings.
A3. Discipline: I expect you to maintain the decorum of the class at all times. As with any other group activity, please
be acutely aware that your actions in class may have negative externalities that can collectively affect the
performance of the entire group. Please keep the following in mind:
• Students are expected to attend all classes and arrive in class on time and stay till the end of the class. If a
student must be late or must leave a class early, he or she should make prior arrangements with the instructor.
If you cannot be on time or must leave the classroom for any reason, please do not bother coming/returning to
the classroom.
• Students should refrain from using the computer during class time for activities that are not directly related to
the topic being discussed in class. These activities include, but are not limited to, instant messaging, web
surfing, game playing, social networking etc.
• Students are expected to respect the rights of their classmates and should never exhibit any behavior that is
disruptive to the learning experience of anyone. For example, cell phones should not be allowed to ring, and
calls should not be made or taken, inside the classroom. You will be asked to switch off your phones during
quizzes and exams conducted in the classroom.
A4. Recording: Students are allowed to record video or audio of class lectures. However, the purposes for which
these recordings may be used are strictly controlled. The only allowable purposes are (1) for personal educational
use, (2) in connection with a complaint to the university, or (3) as evidence in, or in preparation for, a criminal or civil
proceeding. All other purposes are prohibited. Specifically, students may not publish recorded lectures without the
written consent of the instructor
A “class lecture” is an educational presentation intended to inform or teach enrolled students about a particular
subject, including any instructor-led discussions that form part of the presentation, and delivered by any instructor
hired or appointed by the University, or by a guest instructor, as part of a University of Florida course. A class lecture
does not include lab sessions, student presentations, clinical presentations such as patient history, academic
exercises involving solely student participation, assessments (quizzes, tests, exams), field trips, private conversations
between students in the class or between a student and the faculty or lecturer during a class session.
Publication without permission of the instructor is prohibited. To “publish” means to share, transmit, circulate,
distribute, or provide access to a recording, regardless of format or medium, to another person (or persons),
including but not limited to another student within the same class section. Additionally, a recording, or transcript of a
recording, is considered published if it is posted on or uploaded to, in whole or in part, any media platform, including
but not limited to social media, book, magazine, newspaper, leaflet, or third party note/tutoring services. A student
who publishes a recording without written consent may be subject to a civil cause of action instituted by a person
injured by the publication and/or discipline under UF Regulation 4.040 Student Honor Code and Student Conduct
Code.
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Warrington College of Business Administration
Department of Information Systems and Operations Management
QMB 4930: Business Data Analytics
Spring 2022 | Module 4
B. Teaching Policies
An updated list of UF teaching policies regarding academic honesty, student illness, religious holidays,
accommodating students with disabilities and others are available at this website
(http://www.registrar.ufl.edu/staff/policies.html). Students requesting classroom accommodation must first register
with the Dean of Students Office. The Dean of Students Office will provide documentation to the student who must
then provide this documentation to the Instructor when requesting accommodation. One point worth emphasizing:
plagiarism in any form is completely unacceptable and will not be tolerated. Students found receiving and/or giving
any assistance will be automatically awarded a 0 grade for the assignment, homework, project or exam, depending
on the severity of the event which will be assessed by the instructor.
C. Communication
I will be available at my office during the office hours. I will also be available to talk to you at other times by
appointment. To schedule an appointment at any other time than my regular office hours, please send me e-mail at
aditimukherjee@ufl.edu. Most of my communication that is meant for the entire class will be through the e-learning
platform (other than occasional emails to the mailing list, which will come into your Gatorlink mailbox), so do log in
to the system regularly. The subject line should contain QMB4930, otherwise the email may end up in my junk email
and you may not get a response in a timely manner. Further, make sure that you are not over quota with your
Gatorlink mailbox, since in such cases you will not be aware of the latest emails pertaining to this class.
D. Honors Policy
You are expected to follow the University of Florida’s Academic Honesty and Conduct Codes when working on
assessments, quizzes, assignments, projects, tests, and exams. One point worth emphasizing: plagiarism in any form
is completely unacceptable and will not be tolerated. We will be following the ISOM Department policy regarding
cheating:
"For any academic class activity, students must follow the University of Florida Student Honor Code. Any violation of
the honor code will automatically result in a grade of E (Fail) for this course and further sanctions that may include a
suspension or expulsion from the University through the Dean of Students Office. All incidents will be reported to
Student Conduct and Conflict Resolution at the University of Florida."
You are expected to read the complete policy at http://www.registrar.ufl.edu/catalog/policies/students.html#honesty
E. Course Evaluations
Students are expected to provide professional and respectful feedback on the quality of instruction in this course by
completing course evaluations online via GatorEvals. Guidance on how to give feedback in a professional and
respectful manner is available at https://gatorevals.aa.ufl.edu/students/. Students will be notified when the
evaluation period opens and can complete evaluations through the email they receive from GatorEvals, in their
Canvas course menu under GatorEvals, or via https://ufl.bluera.com/ufl/. Summaries of course evaluation results are
available to students at https://gatorevals.aa.ufl.edu/public-results/.”
F. Campus Resources
U Matter, We Care: If you or a friend is in distress, please contact umatter@ufl.edu or 352 392- 1575 so that a team
member can reach out to the student.
Counseling and Wellness Center: https://counseling.ufl.edu/, 352 392-1575; and the University Police Department:
392-1111 or 9-1-1 for emergencies.
Student Health Care Center: 352 392-1161.
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Warrington College of Business Administration
Department of Information Systems and Operations Management
QMB 4930: Business Data Analytics
Spring 2022 | Module 4
TENTATIVE CLASS SCHEDULE
Please review the complete course schedule on the course website in Canvas.
Day#
1
Section
Topic
Part 1: Introduction
Course Syllabus and Overview
2
Data Basics: Excel & Databases
3
Python
4
Part 2: Descriptive Analytics
Descriptive Statistics
5
Data Visualization - 1
6
Data Visualization – 2
7
Part 3: Predictive Analytics
Trendlines and Regression
8
Spreadsheet Modeling
9
Forecasting & Data Mining
10
Part 4: Prescriptive Analytics
Optimization & Simulation
11
Optimization with Excel
12
Big Data Concepts
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