I'm giving a talk to the local Data Science / Machine Learning meetup. The topic is a shallow tour of data science topics including tasks and methods. This is a new group and many of the attendees do not have a data science background but are interested. Therefore, I thought a talk that went through the highlights would be useful. Not only is the tour a whirlwind, but creating the slides was a bit of a rush job in the wee hours of the night, so please excuse typos, factual errors, slander, blatent malicious lies, etc.
Presentation is: http://slides.com/steveash/datascience/
