As data scientists, we are often asked to make predictions: to estimate the unknown and make better decisions. But how do we keep up in this innovative field? Come to this workshop to learn the concepts behind some of the most important and cutting edge prediction methods, and how to apply these responsibly to real world problems. We will cover the fundamentals of regression and dive into the world of machine learning methods. You will also see the new Causal Inference Analysis tool, which applies methods that allow you to go beyond the adage: "correlation does not imply causation".