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Data Analytics and Software Development Capstone

SDEV 280
Closed
Green River College
Green River College
Susan Uland
Susan Uland
Data Analytics and Software Development Instructor
2
Timeline
  • April 3, 2022
    Experience start
  • April 8, 2022
    Project Scope Meeting
  • June 12, 2022
    Experience end
Experience
2/1 project matches
Dates set by experience
Preferred companies
Anywhere
Any
Any industries
Categories
Databases Data visualization Data analysis Data modelling
Skills
ethical standards and conduct online communication data visualization data analysis communication decision making research software development
Learner goals and capabilities

Looking to elevate your organization, and bring it to the next level? Bring on students from Green River College to be your student-consultants, in a project-based experience. Students will work on one main project over the course of the semester, connecting with you as needed with virtual communication tools.

Students in this course will Initiate and complete a project in service of an organization, supporting the data life cycle by collecting, transforming, and analyzing data, and communicating results in order to inform and guide decision making.

Topics include data sourcing, data visualization tools and techniques, and broader impacts such as privacy, ethics, and transparency.

Learners
Undergraduate
Any level
24 learners
Project
80 hours per learner
Learners self-assign
Teams of 3
Expected outcomes and deliverables

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

Some final project deliverables might include:

  1. A 10-15 minute presentation on key findings and recommendations
  2. A detailed report including their research, analysis, insights and recommendations
Project timeline
  • April 3, 2022
    Experience start
  • April 8, 2022
    Project Scope Meeting
  • June 12, 2022
    Experience end
Project Examples

Students 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 students can complete may include, but are not limited to:
  • interviewing stakeholders and identifying their needs.
  • Choose appropriate data sources
  • Apply appropriate data science tools and class libraries to support data analysis activities such as data acquisition and cleaning, processing, visualization.
  • Discuss broader impacts and issues relating to data analytics such as privacy, security, ethics, and transparency.
  • Ideally students would be best prepared to work with Python Pandas and Jupyter Notebooks
Companies must answer the following questions to submit a match request to this experience:

A representative of the company will be available to answer questions from students in a timely manner for the duration of the project.

A representative of the company will be available for a pre-selection discussion with the administrator of the course to review the project scope.

How is your project relevant to the course?

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

Provide relevant information/data as needed for the project.