Communication is a critical yet often overlooked part of data science and statistics. This one-credit course aims to help second-year Master’s students develop and practice their statistical communications skills as they prepare for their Portfolio of Work. Through interactive sessions, students will learn how to communicate complex data issues effectively, gain experience in explaining and interpreting results clearly and concisely to a diverse range of stakeholders, and create professional-quality reports and presentations, all in a supportive and welcoming peer review environment. This course is mandatory for all portfolio students and may also be taken by thesis or Capstone students.
Instructor Consent Required