DATS 5980 Data Science Capstone
Short Description
This pilot course in the Data Science Program provides students an opportunity to work on an end-to-end real-world data science project by leveraging students' existing industry partners. Students will work with their Capstone mentors and the course instruction team to identify a data science problem, apply knowledge from previous courses to design a solution and learn new skills and techniques to implement their proposed solution. Weekly instructor office hours will be used to discuss questions around the components of the data science project lifecycle, consider common issues with projects, brainstorm ideas for addressing stumbling blocks, and seek and share feedback on project decisions and progress. The student will be guided jointly by the course instructor and by a Capstone mentor selected by the student in the area of the project. There will be a mid-course, optional, in-person gathering for students to share project progress and receive input from their peers and faculty. Upon completing the course, students are expected to have gained essential skills to tackle real-world problems through a data science perspective. This course is specifically designed for Data Science students who have already identified a semester-long project that covers all aspects of the data science pipeline and have secured an industry mentor. We strongly advise you to enroll only if you have these two aspects arranged in advance. If for some reason you have not yet found a mentor, please contact Alexander Savoth (asavoth@seas.upenn.edu) before the course begins.
Portfolio Building Course
No
Pre-Requisites
Four MSE-DS Core Courses and Two MSE-DS Electives | Only available to MSE-DS Degree Students
Content
This pilot course in the Data Science Program provides students an opportunity to work on an end-to-end real-world data science project by leveraging students’ existing industry partners. Students will work with their Capstone mentors and the course instruction team to identify a data science problem, apply knowledge from previous courses to design a solution and learn new skills and techniques to implement their proposed solution.
Weekly instructor office hours will be used to discuss questions around the components of the data science project lifecycle, consider common issues with projects, brainstorm ideas for addressing stumbling blocks, and seek and share feedback on project decisions and progress. The student will be guided jointly by the course instructor and by a Capstone mentor selected by the student in the area of the project. There will be a mid-course, optional, in-person gathering for students to share project progress and receive input from their peers and faculty.
Upon completing the course, students are expected to have gained essential skills to tackle real-world problems through a data science perspective. This course is specifically designed for Data Science students who have already identified a semester-long project that covers all aspects of the data science pipeline and have secured an industry mentor. We strongly advise you to enroll only if you have these two aspects arranged in advance. If for some reason you have not yet found a mentor, please contact Alexander Savoth (asavoth@seas.upenn.edu) before the course begins.
Course Creators
- Sharath Chandra Guntuku