Data Visualization Project

MBA 8080
Open Closing on August 31, 2025
Main contact
Clemson University
Clemson, South Carolina, United States
John Tripp
Educator
4
Timeline
  • October 14, 2025
    Experience start
  • October 16, 2025
    Project Kickoff
  • October 23, 2025
    Team Planning Session
  • October 30, 2025
    Weekly Progress Update #1
  • November 6, 2025
    Touchpoint with Organization
  • November 13, 2025
    Weekly Progress Update #2
  • December 7, 2025
    Experience end
Experience
5 projects wanted
Dates set by experience
Preferred companies
Anywhere
Any company type
Any industries

Experience scope

Categories
Data visualization
Skills
master of business administration (mba) data cleansing data visualization tableau (business intelligence software) data storytelling business communication
Learner goals and capabilities

This experience is designed for graduate-level students in a Data Visualization course at Clemson University. By the time they begin the project, students will have completed 12 weeks of a 16-week course focused on applied data storytelling using Tableau.


Students will bring the following capabilities:

  • Intermediate-level Tableau skills (including dashboards and stories)
  • Intermediate understanding of data visualization principles and best practices
  • Basic data cleansing and preparation skills (primarily using Tableau Prep)
  • Introductory knowledge of how people interpret visual information
  • Intermediate storytelling skills for business audiences
  • All visualizations will be created using Tableau, and the final project will take the form of a narrated data story presentation designed to communicate insights clearly and persuasively.

Learners

Learners
Post-graduate
Intermediate, Advanced levels
60 learners
Project
50 hours per learner
Learners self-assign
Teams of 4
Expected outcomes and deliverables

Each team will:

  • Use Tableau exclusively for all visualizations and dashboards
  • Create an exploratory Tableau Story that reveals meaningful insights from your data
  • Submit a Packaged Tableau Workbook (.twbx) containing their final analysis
  • Produce a 10-minute narrated video presentation that tells a clear data story and communicates findings
  • Deliver any cleaned or modified versions of the dataset used in the project


Client Responsibility: Clients will review the final deliverables and complete a brief one-page evaluation form provided by the instructor.

Project timeline
  • October 14, 2025
    Experience start
  • October 16, 2025
    Project Kickoff
  • October 23, 2025
    Team Planning Session
  • October 30, 2025
    Weekly Progress Update #1
  • November 6, 2025
    Touchpoint with Organization
  • November 13, 2025
    Weekly Progress Update #2
  • December 7, 2025
    Experience end

Project examples

Ideal projects for this course are exploratory in nature. That is, you have a dataset and are seeking a compelling visual narrative, but you're not looking for formal modeling, regression, or machine learning.


Great project types might include:

  • Visualizing customer or operational data to identify trends or anomalies
  • Exploring marketing or engagement data for storytelling to internal stakeholders
  • Understanding regional, demographic, or temporal patterns in historical data
  • Mapping relationships across categories, time, or location

Students are not expected to build predictive models or conduct statistical inference, but may perform basic cleansing, filtering, and calculation logic using tools such as Tableau Prep or Alteryx.


Timeline & Expectations

  • By August 29, 2025: Provide a usable dataset (with accompanying data dictionary, if available)
  • By October 15, 2025: Submit a 5–10 minute project kickoff video or attend a live Zoom session with students on October 15 at 6:00 PM ET
  • Week of November 4, 2025: Attend one scheduled check-in call with your student teams for Q&A and feedback
  • October 15–November 25, 2025: Respond to team questions via the Riipen platform (typically within 48 hours)
  • December 2, 2025: Receive final deliverables
  • December 9, 2025: Submit your one-page evaluation using the provided rubric


Additional company criteria

Companies must answer the following questions to submit a match request to this experience:

  • Q1 - Text short
    Please confirm that the complete dataset will be provided no later than August 29th  *
  • Q2 - Multiple choice
    Would you prefer to attend the class live, on October 15 or would you rather send a short video introduction by that date instead? This step is a required part of the process to ensure a smooth experience for both you and the students.  *
    • Attend class on October 15 at 6 pm ET
    • Send a video introduction by October 15
  • Q3 - Text short
    Please confirm that you have a primary contact available to communicate weekly via the Riipen platform from October 15–November 25. Please share their contact details.  *
  • Q4 - Checkbox
     *
  • Q5 - Number
    How many students teams will you be able to work with?  *