Data Visualization (Spring 2025)

University of South Carolina - Upstate
Data Visualization (Spring 2025)
01/13/2025 to 05/02/2025
Uma Gupta
Collaboration Overview
About Students
The University of South Carolina Upstate offers a comprehensive course in Data Analytics and Data Visualization, focusing on transforming raw data into meaningful and visually compelling insights. Students are trained to create charts, diagrams, and plots that effectively communicate complex datasets, facilitating data-driven decision-making. They gain proficiency in various software tools to develop interactive and dynamic visualizations.

We seek industry partners to collaborate with our students on real-world data analytics and visualization projects. These partnerships aim to provide students with practical experience while delivering valuable insights and solutions to participating organizations.
About Program Goals
Develop Proficiency in Data Visualization Tools:

  • Gain hands-on experience with industry-standard tools such as Tableau, Microsoft Excel, Python (Matplotlib, Seaborn), and Power BI for creating effective and visually compelling data representations.
Transform Data into Meaningful Insights:

  • Learn to interpret raw datasets, extract actionable insights, and communicate findings effectively through well-designed visualizations.
Apply Analytical Techniques to Real-World Problems:

  • Use statistical and data analytics methods, such as clustering, regression, and trend analysis, to solve practical business challenges.
Create Dynamic and Interactive Visualizations:

  • Build interactive dashboards and dynamic visual reports that enable users to explore data and uncover trends intuitively.
Enhance Storytelling Skills through Visual Data:

  • Develop the ability to create a compelling narrative that contextualizes data visualizations, enabling better decision-making and stakeholder engagement.
Collaborate on Real-World Projects:

  • Work in teams to tackle industry-defined problems, analyze datasets, and deliver professional-grade solutions that meet organizational needs.
Understand Ethical Data Practices:

  • Recognize the importance of data accuracy, privacy, and ethical considerations when analyzing and visualizing data.
Prepare for Careers in Data Analytics:

  • Build a professional portfolio of projects and visualizations, demonstrating skills and expertise to potential employers.
About the Collaboration Format
Class project framed as a live case study for one or more student teams to work on.
Benefits for Industry Partners
Program Details

Students Include: Graduate Degree

Students Enrolled:  Students Enrolled

Program Duration: 15 weeks

Program Launch Date: 01/13/25

Program End Date: 05/02/25

Student Commitment: 4-7 Hours hrs/week

Course Format: Live Case, Multiple Projects Multiple Teams

Modality: Fully Remote

# of Projects: 1

View All Program Details

Project Requirements

Industry Partner Requirements
Project Topics Data Management Information Technology (IT) Operations Research, Analysis, Evaluation
Location Preferences

Local (within 30 miles)

Compensation

Following compensation will be offered to the students


Sponsorship

No Sponsorship Required

Other Requirements
Project Management Time Commitment 2 Hours per week
Interested Industries Aerospace & Defense Agriculture & Farming Arts & Recreation Biotech & Pharmaceuticals Computers & Hardware Construction, Repair & Maitenance Consulting & Professional Services Consumer Products & Services Education & Ed-Tech Energy & Utilities Fashion & Apparel Finance & Investment Food & Beverage Government Health Care & Life Sciences Insurance Manufacturing & Industrial Media, Publishing & Content Natural Resources Non-Profit & Social Impact Public Works Real Estate Restaurants, Hospitality & Food Service Retail & E-Commerce Semiconductor Software, AI & Data Sports & Entertainment Telecommunications Transportation & Logistics Travel & Tourism
Skills & Expertise
Key Program Dates Due Date
Request for Proposal published

 Collaboration request published. Industry Partners may express interest in participating. 

Sep 30 2024, 05:21 PM UTC
Interview

 Educators will begin interviewing interested Industry Partners to discuss project ideas. 

Oct 04 2024, 05:21 PM UTC
Proposal Application Deadline

 Final date for Industry Partners to express interest in participating. 

Dec 06 2024, 05:21 PM UTC
Finalize Project Charter

 Educators and Industry Partners finalize project charters, legal documents, and background materials. 

Dec 20 2024, 05:21 PM UTC
Official Program Launch

 We’ll find a time on this day for you to meet with the students to kick off your project. 

Jan 13 2025
Official Program End

 We’ll find a time on this day for you to meet with the students to wrap up your project. 

May 02 2025

* We’ve got some inspirational project ideas below! These are related project topics that you can mix and match the components for the best cross-functional project experience possible.

Data Management

Information Technology (IT)

Operations

Research, Analysis, Evaluation

Program Overview
Program Title Data Visualization (Spring 2025)
Organization University of South Carolina - Upstate
Student Application Link https://uscupstate.capsource.app/program/data-visualization-spring-2025/rfp
# of Students Enrolled
0
# of Projects Running
1 Project/s Added (of 1 Project Expected)

Program Timeline

Project Duration

Start Date: 01/13/25      End Date: 05/02/25

4 months

Collaboration Overview
About Students

The University of South Carolina Upstate offers a comprehensive course in Data Analytics and Data Visualization, focusing on transforming raw data into meaningful and visually compelling insights. Students are trained to create charts, diagrams, and plots that effectively communicate complex datasets, facilitating data-driven decision-making. They gain proficiency in various software tools to develop interactive and dynamic visualizations.

We seek industry partners to collaborate with our students on real-world data analytics and visualization projects. These partnerships aim to provide students with practical experience while delivering valuable insights and solutions to participating organizations.

Student Level:   Graduate Degree

Student Time Commitment:   Full Time

Team Structure:   2 - 5

Program Goals
Develop Proficiency in Data Visualization Tools:

  • Gain hands-on experience with industry-standard tools such as Tableau, Microsoft Excel, Python (Matplotlib, Seaborn), and Power BI for creating effective and visually compelling data representations.
Transform Data into Meaningful Insights:

  • Learn to interpret raw datasets, extract actionable insights, and communicate findings effectively through well-designed visualizations.
Apply Analytical Techniques to Real-World Problems:

  • Use statistical and data analytics methods, such as clustering, regression, and trend analysis, to solve practical business challenges.
Create Dynamic and Interactive Visualizations:

  • Build interactive dashboards and dynamic visual reports that enable users to explore data and uncover trends intuitively.
Enhance Storytelling Skills through Visual Data:

  • Develop the ability to create a compelling narrative that contextualizes data visualizations, enabling better decision-making and stakeholder engagement.
Collaborate on Real-World Projects:

  • Work in teams to tackle industry-defined problems, analyze datasets, and deliver professional-grade solutions that meet organizational needs.
Understand Ethical Data Practices:

  • Recognize the importance of data accuracy, privacy, and ethical considerations when analyzing and visualizing data.
Prepare for Careers in Data Analytics:

  • Build a professional portfolio of projects and visualizations, demonstrating skills and expertise to potential employers.
Format Structure

Multiple Projects Multiple Teams

Format Title Live Case
Format Description
Class project framed as a live case study for one or more student teams to work on.
Benefits For Industry Partners
Project Modality Fully Remote
Industry Partner Requirements to Participate
Project Topics Data Management Information Technology (IT) Operations Research, Analysis, Evaluation
Target Industries Aerospace & Defense Agriculture & Farming Arts & Recreation Biotech & Pharmaceuticals Computers & Hardware Construction, Repair & Maitenance Consulting & Professional Services Consumer Products & Services Education & Ed-Tech Energy & Utilities Fashion & Apparel Finance & Investment Food & Beverage Government Health Care & Life Sciences Insurance Manufacturing & Industrial Media, Publishing & Content Natural Resources Non-Profit & Social Impact Public Works Real Estate Restaurants, Hospitality & Food Service Retail & E-Commerce Semiconductor Software, AI & Data Sports & Entertainment Telecommunications Transportation & Logistics Travel & Tourism
Skills & Expertise
Location Information & Preferences

Local (within 30 miles)

Sponsorship

No Sponsorship Required

Compensation
Following compensation will be offered to the students:
Other Requirements
Expected Time Commitment For Project Managers 2 Hours per week
Key Program Dates Due Date
Request for Proposal published

 Collaboration request published. Industry Partners may express interest in participating. 

Sep 30 2024, 05:21 PM UTC
Interview

 Educators will begin interviewing interested Industry Partners to discuss project ideas. 

Oct 04 2024, 05:21 PM UTC
Proposal Application Deadline

 Final date for Industry Partners to express interest in participating. 

Dec 06 2024, 05:21 PM UTC
Finalize Project Charter

 Educators and Industry Partners finalize project charters, legal documents, and background materials. 

Dec 20 2024, 05:21 PM UTC
Official Program Launch

 We’ll find a time on this day for you to meet with the students to kick off your project. 

Jan 13 2025
Official Program End

 We’ll find a time on this day for you to meet with the students to wrap up your project. 

May 02 2025
Uma Gupta
View Profile
The State University of New York (SUNY)
Associate Professor & Founding Director Business Analytics @ University Of South Carolina Upstate for 7 year(s)

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