.. mis5470 documentation master file, created by
   sphinx-quickstart on Wed Jun  6 14:57:22 2018.
   You can adapt this file completely to your liking, but it should at least
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MIS 4470/5470 - Practical Computing for Data Analytics
==================================================================================

This course is part of our graduate MS
in Business Analytics program as well as for our undergraduate Minor in Business Analytics.
Both graduate and undergrad students from a variety of programs find their way to this course: MBA, 
Master of Accounting, MS in Business Analytics, MS in IT Management, MS in Applied Statistics, undergraduates in School of Business, Actuarial Scence, and
the School of Engineering and Computer Science. The diverse mix of students make this a very enjoyable class to teach and take.

Most students take my spreadsheet based analytics course, `MIS 4460/5460 <https://ba.misken.org/>`_ 
before doing this course. Highly recommended but not strictly required.

* My OU website: http://www.sba.oakland.edu/faculty/isken/
* My Github site: https://github.com/misken/
* My Bits of Analytics blog: https://bitsofanalytics.org/


.. toctree::
   :maxdepth: 2
   :caption: Course outline:
   
   Course logistics and resources <course_logistics>
   Getting started with pcda and Linux (Weeks 1-2) <foundation>
   Intro to data science with R (Weeks 3-8) <data_science_r>
   Intro to data science with Python (Weeks 8-13) <data_science_python>
   Appendix - older/deprecated pages <appendix>
   More topics (teaching Advanced Analytics with Python course in summer 2025) <additional_topics>
   
* :ref:`search`