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* [[Sean G. Carver's Teaching and Course Development|'''Teaching and Course Development''']]  
 
* [[Sean G. Carver's Teaching and Course Development|'''Teaching and Course Development''']]  
  
::''In Spring 2017, I taught Stat 370, [[Syllabus:_Stat_370_Spring_2017|''Introduction to Statistical Computing and Modeling'']].
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::''In Spring 2017, I taught [[Syllabus:_Stat_370_Spring_2017|''Introduction to Statistical Computing and Modeling'']] at American University.
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::''In Spring 2013, I taught Electronics and Instrumentation at Johns Hopkins.
  
 
::''In Spring 2009, I developed and taught at Johns Hopkins: [[ID_Course_Johns_Hopkins_Spring_2009|Modeling and Identifying Neurosystems]].''
 
::''In Spring 2009, I developed and taught at Johns Hopkins: [[ID_Course_Johns_Hopkins_Spring_2009|Modeling and Identifying Neurosystems]].''

Revision as of 05:58, 24 November 2025

Sean G. Carver, Ph. D., Data Scientist

Data scientist, gifted in the creative analysis and presentation of data. I have skills and experience creating and conveying penetrating insights from data and models. In a sense, I have been a data scientist for my entire career, although I did not always call myself that. I have also called myself a modeler.


I tutor most STEM fields and mentor data projects that send students to the next level---college, graduate school, or a spectacular career. I have a particular interest and experience in baseball analytics to prepare students to work or study as sports data analysts. Regardless of your field of interest, I can help you design and implement a project or projects that will get you noticed by employers and university admission committees.


Baseball Research Showcase for Undergraduates: http://baseball.seancarver.org/novelty.html
In Spring 2017, I taught Introduction to Statistical Computing and Modeling at American University.
In Spring 2013, I taught Electronics and Instrumentation at Johns Hopkins.
In Spring 2009, I developed and taught at Johns Hopkins: Modeling and Identifying Neurosystems.
I received my Ph.D. in Applied Mathematics from Cornell University in 2003. I later worked for the University of Maryland, Johns Hopkins University, Yale University, and Data Machines Corp.
I wrote: The Data Professor's Guide to Basic Statistics.