Andreas Weigend has been teaching this class on “People and Data” at Stanford for a number of years now. The class focuses on understanding human behavior from web data, and it’s always fascinating to see how the curriculum has changed over the years to reflect new understanding, new data, and new behavior. Andreas’s history in this area goes way back to his days as chief scientist of Amazon, and arguably even further back when he was an expert in financial engineering.
Some of the great things about the class this year is that the lectures are made available as mp3 recordings here, and students are summarizing the class learnings in a wiki here for those of you who want a quicker overview. Don’t be intimidated by the first impression of the class. (It’s listed as a graduate-level class in the Department of Statistics and the recommended reading list points to some pretty advanced reading.) Andreas keeps things at a very high level and focuses on getting insights rather than drilling on details. In fact, the style and the lack of math in this class makes it more like a class in the business school rather than in statistics.