We keep hearing about big data and data science. But how can these disciplines be used with real-world cases? What sort of data is appropriate for data science? And how can we apply Python‘s many data-analysis libraries to these problems? In this talk, Robert Layton shows how he was able to predict sports winners using two of the most popular Python data-analysis libraries, Pandas and scikit-learn.