by John Taylor
Data Science promises to transform ubiquitous and cheap data into insights with the potential for great social, scientific and personal value. However, while many of us have the needed hacking skills and domain knowledge, we might not have a strong background in the agglomeration of formal disciplines that underpin data science methods.
I will provide a lightning tour of high level theory, concepts, and tools to extract knowledge and value from data. These are deep and wide subjects, so emphasis will be placed on the high level structures of data analysis problems that point to good solutions.
Dive deep into the suffocating postmodern ocean of data and come out alive on this interactive tour of low-hanging-fruit data mining tools. Learn to make R graphs both pretty and pretty informative; crunch numbers quickly in high level languages, like a boss; even get your Google on with some maps and reduces. It is widely known: Data scientists have all the fun, so join us!
As part of the talk, we plan to make available a data set of historical Reddit front pages, to plumb the very depths of nerd humor evolution.
21st–24th June 2011