Learning Data Science Using Covid-19 Pandemic Data
I have an abbreviated version of these notes with limited R code displayed. That version may be easier to follow if you want to focus on the final results rather than the detailed code.
** 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 peculiarities that emerge for a particular day and I wasn’t able to catch them prior to uploading the new day’s files (e.g., a weird plot, an outlier that leads to unreasonable parameter estimates). This will eventually stablize as the notes enter their final form.**
This book began during 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. 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 another 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.