In this online course, you will learn how to examine data with the goal of detecting anomalies or abnormal instances. This task is critical in a wide range of applications ranging from fraud detection to surveillance. At the end of this course, you will have understood the different aspects that affect how this problem can be formulated, the techniques applicable for each formulation and knowledge of some real-world applications in which they are most effective.

Dr. Inbal Yahav
Dr. Inbal Yahav is a faculty member at the Graduate School of Business Administration, Bar-Ilan University, Israel. Her research interests lie in the areas of statistical modeling and social media, with a focus on users' behavior in social networks, interactions and dynamics among users, and statistical modeling of heterogeneous behaviors. Dr. Yahav's research to-date focuses on two domains. The first domain is cyber security and privacy, and in specific privacy unawareness and unintentional information leakage in social networks. The second domain is statistical modeling of sub-populations in big data. Dr. Yahav has presented her work at multiple Information Systems conf...