BUS 3710 01: Data Visualization w/ Tableau

BUS 3710 - Data Visualization with Tableau

Fall 2026 Syllabus, Section 01, CRN 42814,

Credit hours: 3

Course Meeting Times

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Instructor

Courtney Borruso

Email: cdborruso@ysu.edu

Public Instructor Information

Instructor Title: Principal Lecturer
Instructor Professional Qualifications:

MS, Management – Business Analytics, University of Akron, 2024

MS, Med Education, Lake Erie College of Osteopathic Medicine, 2009

DO, Osteopathic Medicine, Lake Erie College of Osteopathic Medicine, 2006

Salesforce Certified Tableau Desktop Foundations, 2026

Google AI Professional Certificate, 2026

Instructor Office Location: WCBA 3336

Instructor Office Phone: 330-941-3165

Private Instructor Information

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Course Description

3710. Data Visualization with Tableau. Data visualization is crucial as it transforms complex datasets into comprehensible visuals, enabling informed decision-making and clearer communication in an increasingly data-driven world. In this course participants will become skilled using Tableau to integrate diverse data sources, design charts, create interactive dashboards, and convey compelling narratives using data storytelling techniques. By the end of the course, participants will have improved their analytical prowess to create and share impactful insights. Prereq.: BUS 3700 (C or better) AND 2.5 GPA. 3 s.h.

Course Readings

Group Title Author ISBN
Choose One No Readings

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 Tuesday: Course Introduction, Syllabus Review, & Course Expectations
Thursday: 5 Cs of Data Viz, Exploratory vs Explanatory Visualizations, & Misleading Viz and How to Avoid Them
Have Free Student Version of Tableau downloaded on personal device if you are using personal device for In-Class Labs or for completing assignments off campus by start of class on Tuesday, Sep 1
8/31 Tuesday: Introduction to Tableau, Tableau User Interface, Data connections, Metadata Grid, Live vs Extract, Saving and sharing data files in Tableau, & Group Project Sign-Ups
Thursday: Data Types, Clean Data Basics, Reorder Fields, Split Text, Rename Fields, Dimensions & Measures, Discrete & Continuous, Change Alias, Change Summary Operator, Data Pane, Rows & Shelves, View & Show Me, & Change Field Type
Due SUNDAY, 9/6/26 @ 11:59PM in Blackboard:
Quiz # 1
9/7 Tuesday: Data Types, Clean Data Basics, Reorder Fields, Split Text, Rename Fields, Dimensions & Measures, Discrete & Continuous, Change Alias, Change Summary Operator, Data Pane, Rows & Shelves, View & Show Me, & Change Field Type
Thursday: In-Class Group Project Research Workday
Due SUNDAY, 9/13/26 @ 11:59PM in Blackboard:
Quiz # 2
Tableau Class Assignment # 1
9/14 Tuesday: Bar Chart, Reference Lines, & Pie Chart
Thursday: Guest Speaker: Priority1 Introduction of Classroom Project
Due SUNDAY, 9/20/26 @ 11:59PM in Blackboard:
Quiz # 3
Tableau Class Assignment # 2
Group Project Phase # 1
Peer Feedback # 1
9/21 Tuesday: Histogram & Bin Size, Scatterplot & Trend Lines, & Data Clusters
Thursday: Line Chart, Area Chart, Save as PDF, & Export Data
Due SUNDAY, 9/27/26 @ 11:59PM in Blackboard:
Quiz # 4
9/28 Tuesday: Tree Maps, Highlight Tables, Cross Tabulations, Row & Column Totals, & Grand Totals
Thursday: Formatting Data & Charts, Annotations, Advanced Marks Card, & Legends
Due SUNDAY, 10/4/26 @ 11:59PM in Blackboard:
Quiz # 5
Tableau Class Assignment # 3
Group Project Phase # 2
Peer Feedback # 2
10/5 Tuesday: Spatial Data, Maps, Map Layers, & Map Customization
Thursday: Guest Speaker from Neurovantage & Special Topics
Due SUNDAY, 10/11/26 @ 11:59PM in Blackboard:
Misleading Data Viz Video Presentation
10/12 Tuesday: Unions, Joins, Relationships, & Data Blending
Thursday: Sorts & Filters
Due SUNDAY, 10/18/26 @ 11:59PM in Blackboard:
Quiz # 6
Tableau Class Assignment # 4
10/19 Tuesday: Context Filters, Top N Filters, & Parameters
Thursday: Groups, Sets, & Hierarchies
Due SUNDAY, 10/25/26 @ 11:59PM in Blackboard:
Quiz # 7
Group Project Phase # 3
Peer Feedback # 3
10/26 Tuesday: Basic Calculated Fields & Table Calculations
Thursday: Basic Calculated Fields, Table Calculations, Forecasts, & Analytics Pane
Due SUNDAY, 11/1/26 @ 11:59PM in Blackboard:
Quiz # 8
Tableau Class Assignment # 5
11/2 Tuesday: Project In-Class Workday
Thursday: Intro to Dashboards
Due SUNDAY, 11/8/26 @ 11:59PM in Blackboard:
Quiz # 9
Group Project Phase # 4
Peer Feedback # 4
11/9 Tuesday: Building Dashboards, Tableau Stories, & Presenting in Tableau
Thursday: Project In-Class Workday
Due SUNDAY, 11/15/26 @ 11:59PM in Blackboard:
Quiz # 10
Tableau Class Assignment # 6
11/16 Tuesday: Project In-Class Workday
Thursday: Project In-Class Workday & Signup for Group Practice Presentation Date & Time Slot
Due SUNDAY, 11/22/26 @ 11:59PM in Blackboard:
Group Project Phase # 5
Peer Feedback # 5
11/23 Tuesday: Remote Workday for Project: NO IN-PERSON CLASS
Thursday: NO CLASS UNIVERSITY HOLIDAY
11/30 Tuesday: Group Practice Presentations In-Person: See schedule
Thursday: Group Practice Presentations In-Person: See schedule
12/7 FINAL GROUP PROJECT PRESENTATIONS IN-PERSON TUESDAY, DEC 8th 3:15 – 5:15 PM Due MONDAY, 12/7/26 @ 11:59 PM in Blackboard: Final (Phase 6) Group Project ALL Deliverables Peer Feedback # 6
FINAL GROUP PROJECT PRESENTATIONS IN-PERSON TUESDAY, DEC 8th 3:15 – 5:15 PM
Due FRIDAY, 12/11/26 @ 11:59 PM in Blackboard: Post Your Tableau Certification Exam Results in Blackboard

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. 

Course Deliverable Descriptions

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