STA 583: Communicating Statistics and Data Science

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.

Course info

Lecture F 11:45 - 1:00 PM Reuben-Cooke 130

Instructional team

Instructor   Yue Jiang M/W 9:00 - 10:00 AM Old Chemistry 207A
Instructor   Funda Gunes

Header: The image in the header of this site is from John Snow's map of cholera cases. Using this visualization, Snow was able to demonstrate the spatial association of cholera cases with a water pump at Broad Street. He successfully communicated these statistics to disable the contaminated pump and also demonstrate that cholera was transmitted through water, not air.