University of Alberta
University of Alberta
Log in Sign up

Data Science Internship

DAT 484
Closed
Arizona State University (ASU)
Arizona State University (ASU)
Tempe, Arizona, United States
Marko Samara He
Clinical Assistant Professor
2
Timeline
  • January 29, 2024
    Experience start
  • April 27, 2024
    Experience end
Experience
1/1 project matches
Dates set by experience
Agreements required
Preferred companies
Anywhere
Any company type
Any industries

Experience scope

Categories
Data visualization Data analysis Data modelling Data science
Skills
programming (python, r, etc.) analytical skills, data insights
Learner goals and capabilities

Our students can help you with projects that require data science skills - data analysis, visualization, data wrangling, machine learning/AI and statistical modeling. Learners at this project are undergraduate Data Science students at School of Mathematical and Statistical Sciences, Arizona State University. The students are trained for or are practicing data science skills throughout courses in the Data Science program - links to some COURSES AND LECTURES HERE.

The learners will work on one main project over the experience in the semester, connecting with you as needed with virtual communication tools. Students will submit their recommendations, conclusions and/or program (preferably in but not limited to Python and/or R) to decision-makers of the company.


Learners

Learners
Undergraduate
Any level
10 learners
Project
35 hours per learner
Educators assign learners to projects
Teams of 5
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 15-20 minute presentation on key findings and recommendations
  2. A detailed report including their research, program/code/app, analysis, insights and recommendations


Project timeline
  • January 29, 2024
    Experience start
  • April 27, 2024
    Experience end

Project Examples

Requirements

Learners in groups of 3-5 will work with your company to identify your needs and provide actionable recommendations, based on their in-depth research and analysis.


Project activities that learners can complete may include, but are not limited to: 

  • data analysis
  • data visualization; interactive apps
  • data cleaning, wrangling, munging
  • machine learning, AI - prediction, regression, classification, optimization



Additional company criteria

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

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

Provide a dedicated contact person who is available for weekly/bi-weekly drop-ins to address learners’ questions as well as periodic messages over the duration of the project.

Provide an opportunity for learners to present their work and receive feedback.

Provide relevant information and/or data as needed for the project.

How is your project relevant to the experience?