M_OL_BUA 200 OL - M_OL_Business Statistics

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Course Information

M_OL_Business Statistics (M_OL_BUA 200)

Term: OL Program Master Course Shells

Faculty

Mark Martin
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Newberry Adjunct Faculty
Ms. Charli Wessinger
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Office Hours

  • Start Date: Jan 5 2016 10:00AM
  • End Date: Jan 5 2016 3:30PM
  • Single Date:
  • Weekly Days: Monday Tuesday Wednesday Thursday Friday
  • Note: Specific meeting by appointment are available.


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Skype Information

To find me on Skype:   Charlibyrd   Or you can locate me by my personal email:  charli.wessinger@yahoo.com
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Description

BUA 200: Business Statistics (3)

This course teaches practical data science skills, applied to real business problems, using the python programming language.  Students will learn essential skills that span the fields of statistics, data science and programming.  Statistical models will be developed for time series, cross sectional and panel data analysis. Interpretation is strongly emphasized as students navigate causation and correlation.  Students will use virtual machines to spin up cloud instances that perform the entire data pipeline from importing/merging data using different sources, cleaning/transforming data, deploying statistical models and visualizing results.  This course does not assume any prior knowledge of either statistics or programming. 

(Meets MA tag for BUA Online)