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Course Description

This course aims to provide neurosurgeons, junior academic faculty, and residents with a framework for answering neurosurgical questions using data science models and translating these models into clinical practice. Faculty will assist clinicians in understanding how to incorporate data science models into their clinical practice and to critically evaluate models for their transparency, reliability, and efficacy. Attendees will experience breakout sessions with collaboration, share a coding platform between multiple users simultaneously, and transport-based morphometry for signal and image processing.  

Learning Objectives

Upon completion of this course, participants will be able to:
1. Evaluate neurosurgical data science literature.
2. Incorporate data science analyses into neurosurgical practice.
3. Access data science models using existing neurosurgical data sets.

Note for Program Coordinators: Register your residents for the Data Science for Neurosurgeons Course by using the subscription tool in your Institution account. This purchase option for institutions can ONLY be purchased by a program coordinator to enable the purchase of the course on behalf of someone else. (Residents can also register for themselves through the product listing for the Data Science Course.)  

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