  With the Internet a central component of modern society, entire industries
and fields have developed both in support and against cybersecurity. For cyber
operators to best understand their networks, they must conduct detailed traffic
analyses. A growing recognition is the ubiquity of heavy-tailed characteristics
in network traffic. However, a thorough analysis of cybersecurity programs
suggests little statistics educational background, worsened by the observation
that college-level statistics courses largely lack heavy-tailed content,
meaning cyber operators are both ill-equipped to appropriately analyze their
network traffic and unable to easily access resources that could help. In
response, we developed an accessible Jupyter Notebook module that guides
individuals--regardless of statistical background--through traffic matrix
creation, heavy-tailed data identification, data visualization, and
distribution fitting. Such content empowers cyber operators, improving analyses
and design.
