Focuses on teaching the principles, methods and tools of descriptive analytics (mapping what is moving), diagnostic analytics (mapping why something is moving), predictive analytics (mapping what will move), and prescriptive analytics (mapping how we can make it move). Explores real-world case studies through lectures and hands on exercises to allow students to replicate the analytics when facing similar data.