Data Analytics and Visualization Projects

MIT 728
Open Closing on September 5, 2025 / 2 spots left
Main contact
Timeline
  • September 10, 2025
    Experience start
  • September 17, 2025
    Kick Off Meeting
  • October 30, 2025
    Mid Point Check In
  • November 25, 2025
    Experience end
Experience
2 projects wanted
Dates set by experience
Preferred companies
Anywhere
Any company type
Any industries

Experience scope

Categories
Data visualization Data analysis Data modelling
Skills
data visualization gps data data analysis data modeling critical thinking technical analysis data storytelling project management creative problem solving data-driven decision making
Learner goals and capabilities

This experience is designed for a master's course in Data Analytics and Visualization, where learners have intermediate skills in analyzing complex datasets and creating compelling visual narratives. Using industry-standard tools and techniques, participants are trained to transform raw data into actionable insights. They are capable of tackling real-world challenges by applying data modeling and visualization strategies to deliver clear and impactful results. This experience bridges classroom learning with practical application, enabling learners to contribute effectively to industry projects.

Learners

Learners
Undergraduate
Beginner, Intermediate levels
20 learners
Project
30-60 hours per learner
Educators assign learners to projects
Teams of 5
Expected outcomes and deliverables
  • Comprehensive data analysis reports with actionable insights
  • Interactive dashboards for data visualization
  • Predictive models using Power BI or other business intelligent tools
  • Data-driven presentations for stakeholder engagement
  • Infographics summarizing key data findings
Project timeline
  • September 10, 2025
    Experience start
  • September 17, 2025
    Kick Off Meeting
  • October 30, 2025
    Mid Point Check In
  • November 25, 2025
    Experience end

Project examples

  • Analyzing customer behavior data to enhance marketing strategies
  • Visualizing sales trends to identify growth opportunities
  • Developing a dashboard for real-time monitoring of business metrics
  • Creating predictive models for inventory management
  • Evaluating social media data to measure brand sentiment
  • Mapping geographic data to optimize logistics routes
  • Assessing financial data to forecast revenue trends
  • Designing visual reports for annual business reviews

Additional company criteria

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

  • Q1 - Text short
    Do you agree to communicate any changes to the project scope to the educator for their review and approval?  *
  • Q2 - Text short
    How often do you plan to communicate with learners throughout the project? Will you be able to provide a dedicated contact person who is available for [weekly/bi-weekly] sessions to address students' questions and respond to periodic messages throughout the project?  *
  • Q3 - Text short
    Do you provide data and other resources for the project?  *