Statistical and Data Sciences 236 - DATA JOURNALISM

Spring
2018
01
4.00
Amelia McNamara
TTh 10:30-11:50
Smith College
30790-S18
BASS 002
amcnamara@smith.edu
Data journalism is the practice of telling stories with data. This course will focus on journalistic practices, interviewing data as a source, and interpreting results in context. We will discuss the importance of audience in a journalistic context, and will focus on statistical ideas of variation and bias. The course will include hands-on work with data, using appropriate computational tools such as R, Python, and data APIs. In addition, we will explore 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 MTH 220, SDS 220, SOC 201, GOV 190/203, ECO 220, SOC 201, PSY 201). Enrollment limit of 20. (E)
Permission is required for interchange registration during the add/drop period only.