This document discusses learning analytics and academic analytics for educators. It begins by defining learning analytics as the measurement, collection, analysis and reporting of data about learners and contexts, while academic analytics uses administrative data like grades and attendance with statistics to improve decision making. It then notes that analytics can be used to monitor course, learner or activity progress through dashboards, and to evaluate courses or predict student success. The document also discusses using analytics in clinical disciplines and adapting to changes in analytics over one's career. It concludes by discussing open questions around analytics and their application to research.