This tutorial will focus on inferential and exploratory statistics in Python: modelling statistical relationship between variables. It will not be a tutorial on predictive modeling, ie machine learning. The teaching objectives are:

• from a theoretical standpoint to understand estimation, confidence intervals and hypothesis testing

• from a practical standpoint, to know how to visually conjecture relationships in the data

The Python technologies covered will be pandas and statsmodels in addition to numpy and scipy.

The tutorial will be an extended version of the material in part 1 of http://cogmaster-stats.github.io/python-cogstats/