A practical approach to using Data Science for real-world tasks associated with processing and analyzing health care data. This immediately useful workshop starts by building a solid foundation of Data Science essentials so that participants will learn how to design a successful Data Science solution properly from day one. The workshop will then present several real-world case studies that offer a step-by-step process for moving Data Science from theory to implementation to practice in a real healthcare setting. The workshop is appropriate for novice to experienced analysts and data scientists interested in healthcare.
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Below are the direct links to the exercises:
[Exercise 2] (http://nbviewer.ipython.org/github/drmingle/Boston-Data-Festival-2015/blob/master/Exercises/Ex.2%20-%20Data%20Science%20with%20Jupyter.ipynb) [Exercise 3] (http://nbviewer.ipython.org/github/drmingle/Boston-Data-Festival-2015/blob/master/Exercises/Ex.3%20-%20Data%20Science%20with%20Jupyter.ipynb) [Exercise 4] (http://nbviewer.ipython.org/github/drmingle/Boston-Data-Festival-2015/blob/master/Exercises/Ex.4%20-%20Data%20Science%20with%20Jupyter.ipynb) [Exercise 5] (http://nbviewer.ipython.org/github/drmingle/Boston-Data-Festival-2015/blob/master/Exercises/Ex.5%20-%20Data%20Science%20with%20Jupyter.ipynb) [Exercise 6] (http://nbviewer.ipython.org/github/drmingle/Boston-Data-Festival-2015/blob/master/Exercises/Ex.6%20-%20Data%20Science%20with%20Jupyter.ipynb)