This hour long beginner-level workshop (no laptop needed) focuses on critical thinking about data. We’ll look at fascinating examples of sampling problems, biases, outliers, confounding, and spurious correlations, and show how these lead to wrong conclusions. We’ll also show how exploratory data analysis through visualization can bring clarity. You’ll takeaway a greater awareness of data itself, and be able to apply these ideas on your data science projects.