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End of Course Data Visualization Project

MBA 8080 - Business Data Analytics and Visualization
Closed
Clemson University
Clemson University
Clemson, South Carolina, United States
John Tripp
John Tripp
Educator
4
Timeline
  • October 15, 2024
    Experience start
  • December 10, 2024
    Experience end
Experience
1/1 project matches
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)
Learner goals and capabilities

These learners are MBA students who will have completed 12 weeks of a 16-week course on data visualization.


They will have knowledge and skills including:

  • Intermediate-level Tableau skill.
  • Intermediate-level understanding of data visualization best practices.
  • Beginner-level data cleansing skills.
  • Basic understanding of human visual and cognitive processing.
  • Intermediate-level skill in data storytelling.

Learners

Learners
Post-graduate
Any level
60 learners
Project
50 hours per learner
Educators assign learners to projects
Individual projects
Expected outcomes and deliverables

Teams will deliver a Tableau Story that has a complete project analysis.

Teams will provide the final analysis as a Packaged Tableau Workbook.

Teams will deliver a 10-minute video presentation on their findings.


Teams will deliver any other data sources that they may utilize.


Client will watch the video and provide a one-page evaluation using instructor's template.

Project timeline
  • October 15, 2024
    Experience start
  • December 10, 2024
    Experience end

Project Examples

Requirements

The exemplar project for this experience is a purely exploratory project where the client would like the students to "figure out" what the data is telling them, and then present the results using a visual data story.


This project should NOT include data analysis using regression or other data analytics processes - but can include basic data-cleansing and data engineering tasks (that can be completed with a tool such as Tableau Prep or Alteryx).


Project structure would look something like:


  1. Provision of the dataset by September 15th, 2024 (so that the instructor can confirm that it will work for the students).
  2. Creation of a 5-10 minute video to explain the project goals to the teams. (Alternatively, attend class on October 15th, 2024, at 6 PM Eastern Time to present live).
  3. Be available for ONE follow-up meeting during the week of November 4th, 2024, for feedback and Q&A.
  4. Be available to answer questions via email or a tool like Slack once per week between October 15 and November 25th. 2024
  5. Be able to evaluate and "grade" the final deliverable during the week of December 2nd, 2024. Deliverables will be posted to the client on December 2, and evaluations due on December 9.

Additional company criteria

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

  • Q1 - Checkbox
     *
  • Q2 - Text short
    Will you be able to attend class or provide a video by October 15th?  *
  • Q3 - Text short
    Can you make a primary contact available to respond to email or Slack questions at least once per week during the project?  *
  • Q4 - Text short
    Can you provide evaluations of deliverables during the week of December 2?  *
  • Q5 - Text short
    Are you willing to have more than one team work on your project? (You'd have to answer more questions and do more evaluations...not a problem if the answer is "no"  *