Nipissing University
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Legal and Business Data Analysis

POS401
Closed
Arizona State University (ASU)
Arizona State University (ASU)
Tempe, Arizona, United States
Charles Ripley
Charles Ripley
Instructor
(3)
4
Timeline
  • January 24, 2022
    Experience start
  • February 15, 2022
    Project Scope Meeting
  • April 9, 2022
    Experience end
Experience
1/1 project matches
Dates set by experience
Preferred companies
Anywhere
Any
Any industries

Experience scope

Categories
Data analysis Law and policy Social sciences
Skills
business analytics data analysis research
Learner goals and capabilities

Do you need a small group of students to help with legal or business projects?

Students can help gather, organize, and analyze information related to your business and/or legal needs. In small groups (2-4), we can tackle a broad spectrum of legal or business projects using the advanced R statistical software environment. Data analysis has become particularly important for the legal industry, such as environmental, immigration, and corporate law, as well as criminology generally speaking. Although undergraduate students enrolled in POS401: Political Statistics prefer to work in a legal profession, we are accepting any organization that requires data analysis.

Organizations can propose specific tasks upon which students agree to work.

Learners

Learners
Undergraduate
Any level
75 learners
Project
15 hours per learner
Learners self-assign
Teams of 2
Expected outcomes and deliverables

All work will be agreed upon between the employer and groups of students.

Multiple student groups will be working with each company. The top student project will be presented to the company contact.

In the end, students will submit and, if need be, present their final report based upon the negotiated work agreement.

Project timeline
  • January 24, 2022
    Experience start
  • February 15, 2022
    Project Scope Meeting
  • April 9, 2022
    Experience end

Project Examples

Requirements

Some projects include the following:

  • Gathering and processing raw data
  • Creating spreadsheets with data
  • Evaluating data for problem-solving activities
  • Writing reports on any information collected
  • Using data to advance legal cases
  • Organizing data through descriptive statistics such as frequency tables
  • Creating various graphs such as histograms and bar charts
  • Running data in advanced statistical tasks such as regression analysis
  • Mapping data using GIS packages in the R statistical environment
  • Depending on the group of students, applicable foreign languages skills such as Spanish will be included

Additional company criteria

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

Provide a dedicated contact who is available to answer periodic emails or phone calls over the duration of the project to address students' questions.

Be available for a quick phone call with the instructor to initiate your relationship and confirm your scope is an appropriate fit for the course.