Data-driven Insights, Analyses and Recommendations

EC203
Closed
Main contact
Boston University
Boston, Massachusetts, United States
Coordinator
(1)
2
Timeline
  • October 2, 2024
    Experience start
  • December 11, 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 Data analysis Data modelling
Skills
business analytics analytical skills ethical standards and conduct strategic thinking management consulting problem solving research
Learner goals and capabilities

Does your organization have questions that can possibly be answered using your data, but you don't have the time or resources to do it yourself? Let our economics/statistics students be your learner-consultants and provide recommendations and insights based on their in-depth data analyses. Our students possess strong problem-solving and analytical skills, and are eager to help!



Learners

Learners
Undergraduate
Intermediate levels
45 learners
Project
25 hours per learner
Coordinators assign learners to projects
Teams of 3
Expected outcomes and deliverables

Deliverables are negotiable, and will seek to align the needs of the learners and the organization.


Some final project deliverables might include:

  1. A 5-10 minute presentation on key findings and recommendations
  2. A detailed report including their research, analysis, insights and recommendations


Project timeline
  • October 2, 2024
    Experience start
  • December 11, 2024
    Experience end

Project examples

Students should be capable of obtaining data-driven insights, answering your particular organization's question(s) and making recommendations by doing the following:


  • Cleaning your data as necessary
  • Merging/Combining multiple data sets as necessary
  • Summarizing the data
  • Visualizing the data and
  • Analyzing the data


*Note: data will need to be provided. Students can do some "market research" if required, but this is designed to be a practical application of data analysis.


Additional company criteria

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

  • Q1 - Text short
    Do you have data for my students that you can easily share?  *
  • Q2 - Text short
    Does your data contain numeric and categorical variables?  *
  • Q3 - Text short
    Does your data contain more than 100 observations/rows?  *