Learning Data Science Using Covid-19 Pandemic Data
I’ll be away from robust internet access between June 26 and July 5th. I doubt I will perform many updates during this time.
I have a more detailed version of these notes with complete R code. That version may be more appropriate if you want to follow the R code used to produce this document.
** Disclaimer: The contents of this website are in draft form. Changes are made daily. At this point I am more in “content creation mode” than in careful editing, consistency checks, references, and meta-level summaries. Also, the code is run daily and all plots and tables change accordingly. Sometimes there are peculiar details that emerge for a particular day and I wasn’t able to catch them prior to uploading the new day’s files. This will eventually stablize as the notes enter their final form.**
This book began at the beginning of the Covid-19 pandemic as a set of lecture notes to teach advanced quantitative methods and data visualization to graduate statistics in the behavioral sciences at the University of Michigan. I used an earlier version in four lectures during the end of March, 2020. The notes are sprinkled with code because one goal is to teach how to conduct these analyses, create visualizations and interpret results. There are two versions of these notes: one version omits much of the R code though still retains some of the flavor of how one uses these tools and interprets the output (abbreviated version) and other version includes all the R code (detailed version). If you would like to see my more general set of teaching notes from the rest of the year-long graduate statistics course for additional background, visit my course website that is updated regularly.