Statistical and Data Sciences 236 - Data Journalism

Data journalism is the practice of telling stories with data. This course focuses on journalistic practices, interviewing data as a source, and interpreting results in context. The course discusses the importance of audience in a journalistic context and focuses on statistical ideas of variation and bias. The course includes hands-on work with data, using appropriate computational tools such as R, Python, and data APIs. In addition, the course explores the use of visualization and storytelling tools such as Tableau, plot.ly, and D3. No prior experience with programming or journalism is required. Prerequisites: An introductory statistics course (including SDS 220, SOC 204, GOV 203, ECO 220, PSY 201). Enrollment limited to 20.