Analytics II

Environmental and sustainability analytics have become very relevant in recent years and are integrated with business analytics, performance management, and predictive capabilities for informed decision-making and stakeholder transparency. In this course, learners will gain practical experience by developing a Request for Information (RFI) for an analytics solution, preparing them for real-world environmental projects. They will also build upon data discovery skills including data modeling, data cleansing, and data visualizations. Finally, students will explore the value of spatial analytics, and develop a conceptual understanding of AI and machine learning and how these technologies are reshaping environmental analytics. Prerequisite EPM 4610.