Summer 2020-SP2-AP

BUS 777 Data Analytics for Business | 1

DATA ANALYTICS FOR BUSINESS SYLLABUS

Summer 2020-SP2-AP

BUS 777 Data Analytics for Business | 1

Course Title BUS 777: Data Analytics for Business

Course Credit 3 credits

Prerequisites None

Learning Facilitator Jose Rocha, MBA, MSc., Ph.D. Associate Professor of Management Department of Management Gus Machado College of Business St. Thomas University

The best way to reach me is by:

eMail: Canvas INBOX Learning Management System Course Shell

eMail Messages NOT STU traditional eMail

Cell Number: 305 519-4651 Voice and What’sApp only NOT SMS Texts

Office: 305 474-6009 eMail: Canvas INBOX Learning Management System

Course Description This course provides an introductory framework to understand the use of Data Analytics in the field of business. Students will be exposed to Descriptive, Diagnostic, Predictive, and Prescriptive Analytics through the use of data, quantitative mathematical and statistical models, and information technology software and applications. Graduate students will apply Data Analytics to help decision makers gain improved insights about their business operations in order to make better, rational, fact-based, and data-driven business decisions.

Summer 2020-SP2-AP

BUS 777 Data Analytics for Business | 1

Learning Outcomes At the end of this course students will be able to:

1. Explain the different uses and impact of data analytics for business on business practices to include data creation, data sharing, data analytics, data mining, data reporting, and storage between and across organizations including related ethical issues

2. Apply key aspects of Data Analytics for Business concepts in real life business settings using the information technology commonly used in the workforce

3. Analyze and frame Data Analytics for Business problems and develop proactive and/or reactive solutions

4. Develop effective Data Analytics for Business case analysis recommendations and courses of actions and apply critical thinking skills through Data Analytics for Business case analysis

Resources

Textbook

Sharda, R., Delen, D., & Turban, E. (2018) Business Intelligence, Analytics,

and Data Science: A Managerial Perspective, 4th Edition Pearson | ISBN-

13: 9780134633282

Practitioner’s Book

Marr, Bernard Big (2015) Big Data: Using SMART Big Data, Analytics and

Metrics To Make Better Decisions, Wiley; 1st Edition (March 9, 2015)

ISBN: 9781118965832.

SAS University Edition Business Analytics Software

http://support.sas.com/software/products/university-edition/index.html#s1=1

SAS Analytics U

https://communities.sas.com/t5/SAS-Analytics-U/bd-p/sas_analytics_u

SAS Analytics U Video Tutorials

SAS Tutorials

http://support.sas.com/training/tutorial/index.html#s1=1

Summer 2020-SP2-AP

BUS 777 Data Analytics for Business | 1

The Wall Street Journal – Printed and/or On-Line Edition – WSJ 15 -Week

Subscription Package – ISBN# 1 -59399 -455 -9 –

Please register and subscribe to the Wall Street Journal at the following link: https://r.wsj.com/PROFt3ga

Course Outline and Expectations Expectations This is an accelerated course lasting 7 weeks, and as such will require a higher work load each week than if this was a 16-week course. In order to fulfill the 135 contact hour expectations, this will mean that you will be expected to spend about 20 hours a week engaged with the course. Engagement means reading, watching videos, participating in discussions, working on homework/projects/activities/assignments, researching and analyzing materials, and other items assigned by the instructor.

In addition, this is an OnLine course which means your learning continuum is 24/7 with NO synchronous Face-to-Face and/or Videoconferencing/Zoom.us leaning meetings, learning activities and/or Assignments, Quizzes and/or Exams, and/or any synchronous Learning Activities scheduled for a specific date and time.

You work at your own learning pace as long as you meet our OnLine course Learning Activities, Assignments, and/or Quizzes deadlines. As you know already, just like in any other learning class, there are deadlines for our learning assignments to meet within a time frame but NOT within a synchronous frame of time.

In other words, you are ReponseAble for your own Learning !!

Attendance/Participation See Student Policies and Standards and Student Handbook

Academic Honesty Please see the St. Thomas University Catalog for more information about academic honesty, including consequences of academic dishonesty (See Student Handbook.)

Summer 2020-SP2-AP

BUS 777 Data Analytics for Business | 1

Special Accommodations Each qualified individual with a disability who meets the academic and technical standards required to enroll in and participate in STU’s programs shall be provided with equal access to educational programs in the most integrated setting appropriate to that person’s needs through reasonable accommodation. (See Student Handbook)

Course Communication Policy You may expect a response to any email inquiries from your instructor(s) and/or coach(es) within twenty-four (24) to forty-eight (48) hours. You may expect feedback on course assignments within seventy-two (72) hours.

Course Communication Guidelines (Netiquette) Netiquette is a set of rules for behaving properly online. Much of our communication in this course will take place in the forums and through email. Here are some guidelines for online communication in this course:

• Be sensitive to different cultural and linguistic backgrounds, as well as different political and religious beliefs.

• Use good taste when composing your responses. Swearing and profanity should be avoided. Also consider that slang terms can be misunderstood or misinterpreted.

• Don’t use all capital letters when composing your responses. This considered “shouting” on the Internet and is regarded as impolite or aggressive. It can also be stressful on the eye when trying to read your message.

• Be respectful of others’ views and opinions. Avoid “flaming” (publicly attacking or insulting) others.

• Be careful when using acronyms. If you use an acronym it is best to spell out its meaning first, then put the acronym in parentheses afterward, for example: Frequently Asked Questions (FAQs). After that you can use the acronym freely throughout your message.

• Use good grammar and spelling, and avoid using text messaging shortcuts.

• In emails, always identify yourself and what class and section you are in. It is a good practice to put your course and section in the subject line. This helps your instructor identify course related emails. (See GRADUATE CATALOG)

Summer 2020-SP2-AP

BUS 777 Data Analytics for Business | 1

Technology Requirements Computer/Technology Requirements Online students will need regular access to a personal computer that runs on a broadband Internet connection.

• What are the basic computer specifications for Canvas?

• Which browsers does Canvas support?

• Mobile Guides – Canvas Student

Computer/Technology Skill Requirements Online students will need to possess basic computer skills, including the ability to successfully use Internet browsers to navigate the internet. Students are expected to exhibit basic skills in Microsoft Word, Microsoft Excel, and Microsoft Powerpoint.

• Using the eLearning environment.

• Emailing your instructor and attaching files to emails using the Inbox.

• Verifying your browser is the most current version and browser privacy settings are correct. See the next section below.

• Creating files using MS Word, MS Excel, MS PowerPoint and attaching these files to your assignment submissions.

• Managing your files. Create a folder for each course you are taking under My Documents on your computer. Create a folder for each week. Save your files often and with Lastname_WeekX-assignmentX.docx. It’s recommended that you save several versions to revert back to by adding -v1, -v2 etc. to the end of your filename for example Lastname_Week1-assignment1-v1.docx and Lastname_Week1-assignment1-final.docx.

• Uploading MS Word, MS PowerPoint, MS Excel, PDFs in completing assignments.

• You may also be asked to use a webcam and upload videos or audio files, use social media to communicate with your peers, or collaborate electronically.

• Researching information in the Library or using the Library databases. Make sure to include citations to avoid plagiarism.

• Copying and pasting (Control C for copying and Control V for pasting on a PC, Command C for copying and Command V for pasting on a Mac) into a MS Word document or PowerPoint file.

• Downloading and installing software and applications.

Learning Management System (Canvas) Students are provided with guides and online ticketing service when an LMS issues arises. To access the 24/7 help desk and resources, access the Help option by clicking on the question mark icon in the global navigation bar on the left side of your course page. Canvas Student Guide

Summer 2020-SP2-AP

BUS 777 Data Analytics for Business | 1

Web Conferences/Synchronous sessions (ZOOM) Applicable to the particular course. Language usually comes from the instructor. Should include links to support information for whatever technology is being used for these sessions. ZOOM

Grading and Evaluation In order for you to LEARN in this class, you must successfully complete the following: Learning Activities and Assignments Tasks Points

OnLine Discussions 25%

Individual Case Analysis Written Reports 25%

Team Case Analysis Written Reports 25%

Module Individual Quizzes

25%

Total Points 100%

In general, initial discussion posts are due on Wednesdays by 11:55PM, posts in response to your peers are due on Sundays by 11:55PM. Assignments are due on Sundays by 11:55PM. Your Instructor can augment these due dates if necessary. If due dates fall on a religious holiday, it will be reassigned to the following day.

Summer 2020-SP2-AP

BUS 777 Data Analytics for Business | 1

Grading See Student Policies and Standards. In determining the final course grade, the following percentage scale will be used:

Percentage Letter Grade Description 100 – 93 A Excellent; superior 92 – 90 A- Very Good 89 – 87 B+ With merit; good 86 – 83 B Good 82 – 80 B- Above-satisfactory 79 – 77 C+ Above-satisfactory 76 – 73 C Unsatisfactory 72 – 70 C- Unsatisfactory 69 – 67 D+ Unsatisfactory 66 – 60 D Unsatisfactory 59 – 0 F Failure

Rubrics A rubric is provided for each course task in Canvas. Please refer to those rubrics to understand the evaluation criteria for each task.

Late Work Policy No late work accepted. See Student Policies and Standards

Course Evaluation At the end of this course, students are encouraged to complete a course evaluation that will be distributed to them via email and through a course link. St. Thomas University greatly values the input of students regarding their experiences with their courses and professors. All course evaluations are done online by the students. All course evaluations are open on the last week of every course. The course evaluation must be completed during the designated time window of the

course. Complete your Course Evaluation online at http://www.stu.edu/evaluations

Summer 2020-SP2-AP

BUS 777 Data Analytics for Business | 1

Course Schedule The following are the topics for each module:

Module 1

Topic: Introduction to Data Analytics for Business and Ethical Managerial Considerations in Data Analytics for Business

Read:

* Business Intelligence, Analytics, and Data Science: A Managerial Perspective1: Chapter(s): 1 * Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions2: Chapter(s): Introduction

Develop:

Initial Posting: * Harvard Business Review – MIT Sloan Management Review Online Discussion: Analytics 3.0

Complete:

* Academic Honesty Pledge * Acknowledgement form of What is Academic Dishonesty? * Module Quiz Business Intelligence, Analytics, and Data Science: A Managerial Perspective1: Chapter(s): 1

Read, Discuss, Analyze, and Develop Individual Case Analysis Report:

* Drout Advertising Research Project Learning Assignments Deadlines:

Please visit our class Canvas Course Shell Learning Module at hand and/or our class Canvas Course Shell Syllabus section for schedule deadlines for this Leaning Module Assignments Deadlines.

Submission Instructions:

Please visit our class Canvas Course Shell Learning Assignments section for additional information about detailed submission instructions for these Learning Assignments.

Summer 2020-SP2-AP

BUS 777 Data Analytics for Business | 1

Module 2

Topic: Descriptive Analytics I

Read: * Business Intelligence, Analytics, and Data Science: A Managerial Perspective1: Chapter(s): 2 * Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions2: Chapter(s): 1

Develop:

2nd and 3rd Postings: * Harvard Business Review – MIT Sloan Management Review Online Discussion: Analytics 3.0

Complete:

* Module Quiz Business Intelligence, Analytics, and Data Science: A Managerial Perspective1: Chapter(s): 1 * Module Quiz Business Intelligence, Analytics, and Data Science: A Managerial Perspective1: Chapter(s): 2

Read, Discuss, Analyze, and Develop Individual Case Analysis Report: * Drout Advertising Research Project

Read, Discuss, Analyze, and Develop Team Case Analysis Report:

* Performance Lawn Equipment Learning Assignments Deadlines:

Please visit our class Canvas Course Shell Learning Module at hand and/or our class Canvas Course Shell Syllabus section for schedule deadlines for this Leaning Module Assignments Deadlines.

Submission Instructions:

Please visit our class Canvas Course Shell Learning Assignments section for additional information about detailed submission instructions for these Learning Assignments.

Summer 2020-SP2-AP

BUS 777 Data Analytics for Business | 1

Module 3

Topic: Business Intelligence and Data Warehousing

Read: * Business Intelligence, Analytics, and Data Science: A Managerial Perspective1: Chapter(s): 3 * Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions2: Chapter(s): 2

Develop:

Initial Posting: * Harvard Business Review – MIT Sloan Management Review Online Discussion: Making Advanced Analytics Work For You by Dominic Barton and David Court

Complete:

* Module Quiz Business Intelligence, Analytics, and Data Science: A Managerial Perspective1: Chapter(s): 3

Read, Discuss, Analyze, and Develop Team Case Analysis Report:

* Performance Lawn Equipment Learning Assignments Deadlines:

Please visit our class Canvas Course Shell Learning Module at hand and/or our class Canvas Course Shell Syllabus section for schedule deadlines for this Leaning Module Assignments Deadlines.

Submission Instructions:

Please visit our class Canvas Course Shell Learning Assignments section for additional information about detailed submission instructions for these Learning Assignments.

Summer 2020-SP2-AP

BUS 777 Data Analytics for Business | 1

Module 4

Topic: Predictive Analytics

Read: * Business Intelligence, Analytics, and Data Science: A Managerial Perspective1: Chapter(s): 4 * Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions2: Chapter(s): 3

Develop:

2nd and 3rd Postings: * Harvard Business Review – MIT Sloan Management Review Online Discussion: Making Advanced Analytics Work For You by Dominic Barton and David Court

Complete:

* Module Quiz Business Intelligence, Analytics, and Data Science: A Managerial Perspective1: Chapter(s): 4

Read, Discuss, Analyze, and Develop Individual Case Analysis Report:

* Drout Advertising Research Project Learning Assignments Deadlines:

Please visit our class Canvas Course Shell Learning Module at hand and/or our class Canvas Course Shell Syllabus section for schedule deadlines for this Leaning Module Assignments Deadlines.

Submission Instructions:

Please visit our class Canvas Course Shell Learning Assignments section for additional information about detailed submission instructions for these Learning Assignments.

Summer 2020-SP2-AP

BUS 777 Data Analytics for Business | 1

Module 5

Topic: Text, Web, and Social Media Analytics

Read: * Business Intelligence, Analytics, and Data Science: A Managerial Perspective1: Chapter(s): 5 * Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions2: Chapter(s): 4

Develop:

Initial Posting: * Harvard Business Review – MIT Sloan Management Review Online Discussion: Why IT Fumbles Analytics

Complete:

* Module Quiz Business Intelligence, Analytics, and Data Science: A Managerial Perspective1: Chapter(s): 5

Read, Discuss, Analyze, and Develop Team Case Analysis Report:

* Performance Lawn Equipment Learning Assignments Deadlines:

Please visit our class Canvas Course Shell Learning Module at hand and/or our class Canvas Course Shell Syllabus section for schedule deadlines for this Leaning Module Assignments Deadlines.

Submission Instructions:

Please visit our class Canvas Course Shell Learning Assignments section for additional information about detailed submission instructions for these Learning Assignments.

Summer 2020-SP2-AP

BUS 777 Data Analytics for Business | 1

Module 6

Topic: Prescriptive Analytics

Read: * Business Intelligence, Analytics, and Data Science: A Managerial Perspective1: Chapter(s): 6 * Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions2: Chapter(s): 5

Develop:

2nd and 3rd Postings: * Harvard Business Review – MIT Sloan Management Review Online Discussion: Why IT Fumbles Analytics

Complete:

* Module Quiz Business Intelligence, Analytics, and Data Science: A Managerial Perspective1: Chapter(s): 6

Read, Discuss, Analyze, and Develop Individual Case Analysis Report:

* Drout Advertising Research Project Learning Assignments Deadlines:

Please visit our class Canvas Course Shell Learning Module at hand and/or our class Canvas Course Shell Syllabus section for schedule deadlines for this Leaning Module Assignments Deadlines.

Submission Instructions:

Please visit our class Canvas Course Shell Learning Assignments section for additional information about detailed submission instructions for these Learning Assignments.

Summer 2020-SP2-AP

BUS 777 Data Analytics for Business | 1

Module 7

Topic: Big Data Concepts and Tools

Read: * Business Intelligence, Analytics, and Data Science: A Managerial Perspective1: Chapter(s): 7 * Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions2: Chapter(s): 6 and Conclusion

Complete:

* Module Quiz Business Intelligence, Analytics, and Data Science: A Managerial Perspective1: Chapter(s): 7

Read, Discuss, Analyze, and Develop Team Case Analysis Report:

* Performance Lawn Equipment Learning Assignments Deadlines:

Please visit our class Canvas Course Shell Learning Module at hand and/or our class Canvas Course Shell Syllabus section for schedule deadlines for this Leaning Module Assignments Deadlines.

Submission Instructions:

Please visit our class Canvas Course Shell Learning Assignments section for additional information about detailed submission instructions for these Learning Assignments.

Summer 2020-SP2-AP

BUS 777 Data Analytics for Business | 1

Student Support Disability Services St. Thomas University complies with Section 504 of the Rehabilitation Act of 1973 and the Americans with Disabilities Act (ADA) of 1990. No qualified individual with a disability shall be excluded from participation in, be denied the benefits of, or be subjected to discrimination in any STU activity, service, or program of the University solely by reason of his or her disability. Each qualified individual with a disability who meets the academic and technical standards required to enroll in and participate in STU’s programs shall be provided with equal access to educational programs in the most integrated setting appropriate to that person’s needs through reasonable accommodation. (See Student Handbook)

Library Services/Tutoring

The University Library provides services for all St. Thomas University students, faculty, and staff. These services include full access to library materials, librarian assistance, circulation services, Interlibrary Loan, library instruction, services for distance education students, and services for online instructors. Additional library services include access to wireless networking, photocopying, scanning, and printing while on campus. Student Health Services The Student Health Center promotes the physical and mental health of the STU community in a professional and confidential manner covered by the student health insurance, including the Supplemental Plan. Appointments are recommended, but walk- ins are welcome.

Technology Support Services Office of Information Technology (OIT) For assistance with STU email or MyBobcat, please contact the OIT Helpdesk at: Phone: 306-628-6610 Email: helpdesk@stu.edu

What’s my username? Create/reset password

Summer 2020-SP2-AP

BUS 777 Data Analytics for Business | 1

Additional Course Information Syllabus Subject to Change While information and assurances are provided in this course syllabus, it should be understood that content may change in keeping with new research and literature and that events beyond the control of the instructor could occur. Students will be informed of any substantive occurrences that will produce syllabus changes.