This tutorial will focus on inferential and exploratory statistics in Python: modelling statistical relationship between variables. It will give an introduction to pandas for consistent manipulation of heterogeneous set of variables (for example gender and age) and to statsmodel to estimate a test statistical models.
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/