Data Science 45-min Intros
While these started as opportunities to collectively "raise the tide" on common stumbling blocks in data munging and analysis tasks, they have since grown to machine learning, statistics, and general programming topics. Anything that will help us do our jobs better is fair game.
For each session, someone puts together the lesson/walk-through and leads the discussion. Presentation platforms commonly include well-written READMEs, IPython notebooks, knitr documents, interactive code sessions... the more hands-on, the better.
Feel free to use these for your own (or your team's) growth, and do submit pull requests if you have something to add.
*ok, while we try to do it every week, sometimes it doesn't happen. In that case, we try to guilt trip the person who slacked.