NOTE: as of 10/27/2019 this Tutorial is very much a work in progress. Stayed tune as PyData NYC is Nov. 4-6, as that data approaches this content should be much closer to ready.
This project contains a whirlwind introduction to probability and statistics that will be part of a tutorial session at PyData NYC 2019. The tutorial consists of 3 notebooks that will walk you through the stages of stastical analysis.
- clone this project to your local machine:
git clone [email protected]:willkurt/ProbAndStats-PyDataNYC2019.git
- Go into project directory:
cd ProbAndStats-PyDataNYC2019
- Create a virtual environment for this project
python3 -m venv /path/to/new/virtual/environment
- Activate the virtual environment
source /path/to/new/virtual/environment/bin/activate
- Pip install the requirments (make sure your at the project's root directory)
pip install -r requirements.txt
- Run the jupyter notebook and you should be all set!
jupyter notebook
The aim of this tutorial is to give you a 90 minutes overview covering as much ground as is possible in understanding statics. There is a lot to take in, so if you're going to 90 minutes don't worry about throughly understanding everything. The goal here is just so that you get a sense of what probability and statistics is all about and also understand some ideas about how to solve problems using statistics and what all those fancy tools like pymc3 are doing. If you have more than 90 minutes then spending some extra time playing with the notebooks here should provide you with a pretty strong background in how to think about problems statistically.