OsloWorkshop2014

Material for my lectures at the University of Oslo, Dec 2014

This is a 3-day course on data analysis, visualiation, & modeling within a health economics context. See a static view of the lecture material here

Installation

To work through this material will require Python (either version 2.7 or 3.3-3.4) and the scientific stack, including IPython, Numpy, Scipy, Matplotlib, Pandas, and Scikit-learn. We'll also make use of Seaborn for visualization.

Currently the easiest cross-platform way of installing all of this is to use the Anaconda installer, available at http://continuum.io/downloads. To make sure you're up to date for all the above tools, install Anaconda (or miniconda) and then run:

$ conda update conda
$ conda update numpy scipy matplotlib ipython-notebook pandas scikit-learn seaborn pip