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Data analysis with Python workshop — June 10-14

June 10, 2013 @ 12:00 am - June 14, 2013 @ 12:00 am

This workshop sponsored by CSCAR and ARC will explore the use of Python and its numerical libraries as a tool for analyzing and managing data, with a focus on data that arise in research.  The workshop will be taught through a series of analyses of specific datasets drawn from health sciences, social sciences, natural sciences, and engineering. Participants will be provided with all data and code discussed in the workshop. The workshop will include a morning presentation, and a hands-on session in the afternoon. It is tailored to people who have some programming experience (i.e., familiarity with basic programming concepts including control structures and simple data structures). Some analyses will involve basic or intermediate statistics. The workshop will focus on Python, IPython, and the following libraries: Numpy, Scipy, Matplotlib, Pandas, Statmodels, and Scikit-learn. All this software is freely available, and participants will be provided with instructions for obtaining and installing this software on their computers. A consultant will be at the afternoon sessions to help participants install Python and the code and examples shown in the morning presentations on their laptops. Presenter: Kerby Shedden, CSCAR Dates: Monday, June 10 through Friday, June 14. Times: The morning presentations will be held from 9 a.m.-noon. Lab sessions will run from 1-4 p.m. Locations:

  • On Monday, Tuesday, and Wednesday, the morning sessions will be in the Assembly Hall on the 4th floor of the Rackham Graduate School.
  • On Thursday and Friday, the morning presentations will be in the Aphitheatre, also on the 4th floor of Rackham.
  • Afternoon lab sessions will be held in East Hall Rooms B743 and B745.

Registration: Please fill out this form to register. * Materials for morning sessions are located at: http://dept.stat.lsa.umich.edu/~kshedden/Python-Workshop/overview.htmlAll code, data and graphical output for this course: umpython.zip


June 10, 2013 @ 12:00 am
June 14, 2013 @ 12:00 am
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