We'll get together again to explore interesting data sets. Work alone, in pairs, or in teams. Drop by anytime after 6 p.m.

The mission: sharpen our data science skills and do interesting analysis. Learn about the tools and techniques other people are using. This isn't a hackathon. No judging and prizes. Just fun.

This workshop will focus on techniques for working with time series data. For interested attendees, we'll have a twenty-minute lecture covering the basics of stationarity and autocorrelation, methods for detecting and handling seasonality, and vector autoregressive models to study relationships between two variables over time.

Challenges (more to follow):
1) Predict sea levels based on historical trends
2) Predict population growth based on existing growth trends and GDP

---

Bring your own laptop unless you want to be an adviser/spectator (wifi will be available). The lecture will use Python and statsmodels, but we have no tool or stack preferences. Different teams will use R, Python, Matlab, SAS, Excel, etc.