Business decision making requires a thorough understanding of business needs as well as of the computational tools required to optimally execute all decisions. To achieve optimal execution, decision makers need the capacity to collect first-hand, in-depth, and contextual business data from highly distributed systems around the globe; to employ analytics techniques to discover possible business relationships; to communicate and collaborate effortlessly with clients, partners, and analysts; and to evolve a highly successful business practice. Decision makers can acquire the necessary skills and strategies by studying and utilizing a seamlessly integrated set of computational and business techniques, together referred to as business intelligence (BI). The course approaches BI from both technological and managerial viewpoints. Learners are welcome to orient their study towards either viewpoint. The course closely follows the textbook by engaging learners in extensive, vivid examples from large corporations, small businesses, government, and not-for-profit agencies. Each topic addressed analyzes business perspectives, technological advancements, and how they interrelate to open the world of business intelligence.