Mismatch Between Academic and Real-world Data Science Projects

Author(s): Benjamin Obi Tayo Ph.D.

Originally published on Towards AI.

Capstone projects in academic data science training should be a semester or two long, and should prioritize group projects over individual projects

Photo by Mimi Thian on Unsplash

Academic data science programs do a great job to provide a rigorous training in fundamental data science and machine learning. A typical curriculum for academic training in data science would include foundational courses that are designed to teach essential skills. Most of these programs would culminate with a capstone project.

In most cases, the capstone is a project assigned by the instructor, or proposed by teams of students, or it could be an individual project. Over the course of their final semester, students work to conduct and execute the project, then do a final presentation of… Read the full blog for free on Medium.

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Published via Towards AI