  For statistics courses at all levels, teaching and learning online poses
challenges in different aspects. Particular online challenges include how to
effectively and interactively conduct exploratory data analyses, how to
incorporate statistical programming, how to include individual or team
projects, and how to present mathematical derivations efficiently and
effectively.
  This article draws from the authors' experience with seven different online
statistics courses to address some of the aforementioned challenges. One course
is an online exploratory data analysis course taught at Bowling Green State
University. A second course is an upper level Bayesian statistics course taught
at Vassar College and shared among 10 liberal arts colleges through a hybrid
model. We alo describes a five-course MOOC specialization on Coursera, offered
by Duke University.
