If you already visited Part1-EDA then you can directly jump to this (Statistical Analysis section).
This is a 3 part series in which I will walk through a data-set analyzing it and then at the end do predictive modelling. I highly recommend to follow this series in the order given below but you can also jump to any part.
Part 1, Exploratory Data Analysis(EDA):
This part consists of summary statistics of data but the major focus will be on EDA where we extract meaning/information from data using plots and report important insights about data. This part is more about data analysis and business intelligence(BI).
Part 2, Statistical Analysis:
In this part we will do many statistical hypothesis testing, apply estimation statistics and interpret the results we get. We will also validate this with the findings from part one. We will apply both parametric and non-parametric tests. We will report all the important insights we get in this part. This part is all about data science requires statistical background.
In this part we will predict a response using given predictors. This part is all about machine learning.
#hypothesis-test #data-science #scipy #statistical-anaylsis #python
