The focus of this course is on mathematical statistics along with some applied statistical topics.
In this course, I will use Python
statsmodels libraries to illustrate some theoretical concepts. If you would like to practice yourself with examples which will be given in the class, I strongly suggest you to
study on the following resources on your own:
10 minutes to pandas, and
You can also build stand-alone web applications based on lab materials (Jupyter Notebooks) involving interactive widgets created with
ipwidgets (interactive HTML widgets). To do this requires installing
Voila library first. When you launch the relevant Jupyter Notebook on the browser, a Voila button will appear in the toolbar. Then, click-on Voila button to turn the notebook into a seperate web application which works locally. Live examples are available in here.
Starting from Week 07, I started to include
session_info so that you can better understand the packages and package versions I used for each session.