Each week for 20 weeks I worked through the data science pipeline with an interesting culturally/politically-relevant dataset, usually inspired by the news. Pose a question; find a dataset; clean it up; explore it to get a feel; build a ML model, or perform a statistical inference, or generate nice plots, or create an interactive Shiny app; communicate with a short report. The goal was to be quick and relevant. The project GitHub repo provides summaries, links to reports, and tags indicating which tools I used.