Past attendees of Superweek have ridden along with Tim as he explored R, and then as he dove deeper into some of the fundamental concepts of statistics. In this session, he will provide the latest update on that journey: how he is putting his exploration into the various dimensions of data science to use with real data and real clients. The statistical methods will be real, the code will be R (and available on GitHub), and the data will only be lightly obfuscated. So, you will be able to head back to your room at the next break and try one or more of the examples out on your own data! (But, don't do that -- the food and conversation at the breaks is too good to miss!)

This is a continuation of the stuff Tim Wilson spoke about. I am a relatively new entrant to the whole data science side of things (about 12months in as of now) and tried learning a bit of R / deployed snowplow etc but still struggled with code and not having intuitive interface that I was used to.

The client seems happy enough just to collect the data. Our job is to make them understand what the data is for. Once they lose their data virginity, they won't want to stop. Doug describes a brand new set of personal use cases where the awesome power of data was liberated once the data was actually used. Learn even more tricks and techniques of the stealth change agent leading to that threshold moment in a data empowered career. Machine learning, data science, optimisation, professional jiu-jitsu and good old political persuasion are on the menu. Learn how to convince clients (internal or otherwise) to actually take your advice on board and do something other than just stare at a dashboard.