DSCI-D 592 DATA SCIENCE IN PRACTICE (3 CR.)
Students are organized into teams to carry out real world projects in conjunction with project sponsors, while learning about methodologies for data science consulting.
1 classes found
Spring 2025
| Component | Credits | Class | Status | Time | Day | Facility | Instructor |
|---|---|---|---|---|---|---|---|
| LEC | 3 | 9959 | Open | ARR | ARR | WB WEB | Wild D |
Regular Academic Session / 100% Online All
LEC 9959: Total Seats: 80 / Available: 62 / Waitlisted: 0
Lecture (LEC)
- Above class for Data Science majors only
- A portion of above course seats reserved for Data Science MS Online students. Luddy graduate students are given first priority on the waitlist. Please contact the department if you have questions about registering for this course.
This online experiential learning course is designed to help students experience the complexities and nuances of applying data science in the real world. Students work in teams to tackle actual, live real-world problems in ongoing and new projects defined by project sponsors and relative to learning goals which students set at the start of the course. Project sponsors can be academics or industry practitioners who have a problem that might be helped with data science. Students will need to work with the project sponsor and other team members to understand the problem domain, decide on a role, identify where their data science skills can be applied, and to work on a solution; in this regard much of the course is about moving from ambiguity to an achievable outcome. During the course, students will also study aspects of data science consulting and project management through weekly reading assignments. Students are required to attend a weekly Zoom call on Wednesdays at 7PM ET to support and coordinate their learning goals and personal and team development.