Predictive Analytics for Business
Forecasting and predictive modeling in R, with an emphasis on choosing methods, evaluating predictions, and applying them to business decisions.
I bring enthusiasm to every class. Alongside the “what” and “how” of analytics, I ask why a method matters, what its results mean, and who should care.
Forecasting and predictive modeling in R, with an emphasis on choosing methods, evaluating predictions, and applying them to business decisions.
Formulating and solving optimization models in Excel, interpreting trade-offs, and understanding their uses and limitations in business decisions.
Descriptive statistics, probability, hypothesis testing, and decision-making under uncertainty, using Excel and business applications.
Healthcare Operations Management · Health Analytics · Introduction to Health Administration
Supply Chain and Operations
Yanxia Yang
PhD student in Information Technology, Old Dominion University · Research supervisor
Shenghan Li
PhD student in Supply Chain & Operations, University of Minnesota · External research co-advisor