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biomedin215 [2024/07/21 15:24]
nigam 		biomedin215 [2024/07/21 15:27] (current)
nigam
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-====== BIOMEDIN 215: Data Science for Medicine (Aut 2023) ======+====== BIOMEDIN 215: Data Science for Medicine (Aut 2024) ======
  
-The Autumn 2023 class will be offered in person.+The Autumn 2024 class will be offered in person.
  
-– 2023 Teaching team: Nigam Shah, Alison Callahan, Bryan Bunning, Maggie Wang, Ben Viggiano, Yixing Jiang+– 2024 Teaching team: Nigam Shah, Yixing Jiang, Suhana Bedi, Sohaib Hassan, Joshua Lazaro
  
-This course is designed to prepare you to pose and answer meaningful clinical questions using routinely collected healthcare data. The practical skills you will learn in this class will be applicable to any task involving data manipulation and analysis. The course will use real, de-identified, large size patient datasets for home work projects associated with the course. To have the best learning experience, you will need to be proficient in the R language.+This course is designed to prepare you to pose and answer meaningful clinical questions using routinely collected healthcare data. The practical skills you will learn in this class will be applicable to any task involving data manipulation and analysis. The course will use real, de-identified, large size patient datasets for home work projects associated with the course. To have the best learning experience, you will need to be proficient in R or Python. 
 + 
 +Schedule: TUE, THU 3:00 PM - 4:20 PM in Gates B3. \\ 
 +See the [[https://canvas.stanford.edu/courses/197530|Canvas site]] (log in with your SUNet id), for office hours, contact information, Syllabus, Prerequisites etc.
  
 Upon completing this course, you should be able to: Upon completing this course, you should be able to:
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   - design and execute an analysis of a clinical dataset to answer a research question.   - design and execute an analysis of a clinical dataset to answer a research question.
   - apply your knowledge to evaluate and criticize published clinical informatics research.   - apply your knowledge to evaluate and criticize published clinical informatics research.
- 
-Schedule: TUE, THU 1:30 PM - 2:50 PM in Gates B3. \\ For Office Hours, see the [[https://canvas.stanford.edu/courses/178048|Canvas site]] (log in with your SUNet id) \\ 
-Pre-requisites: See the [[https://docs.google.com/document/d/1se4LuFfeIpZBzgiGL5AM57jg_dBOCG37nNWdIfEoYZQ/edit|syllabus]] 
  
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biomedin215.1721600643.txt.gz · Last modified: 2024/07/21 15:24 by nigam

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