QTM 3600: Data Science Field Project
4 Advanced Liberal arts credits
The course will provide students with the opportunity to reinforce their skills in data science, including but not limited to data acquisition, data preparation/wrangling, exploratory data analysis/visualization, model building, testing, presentation, and deployment by coaching them through a real-world, data-intensive project. The course will consist of two main components:
• A structured curriculum designed to enhance students’ data science and analytics skills for implementing analytical projects and effectively communicating their results to management and other stakeholders;
• A consulting project in which student teams will be tasked with solving a real-world problem presented by an external organization or partner, utilizing techniques and methodologies from data science and analytics. Under the supervision of the instructor, student teams will work on the assigned problem throughout the semester, communicating with the external organization/partner during the project and presenting their results periodically throughout the project. Despite being a group project, the workload will demand each student to dedicate significantly more time to the course compared to AQM courses that do not involve work with an external organization/partner.
This course satisfies the Advanced Experiential learning requirement through an extensive project involving an external organization/partner.
Prerequisites: AQM 2000 (QTM 2000 in the older curriculum)