Preview Workflow

The CIM Courses system will be down temporarily undergoing routine maintenance.

Viewing: SMPA 2152 : Data Analysis for Journalism and Political Communication

Last approved: Fri, 18 Mar 2016 17:36:51 GMT

Last edit: Wed, 16 Dec 2015 15:12:16 GMT

Columbian College of Arts and Sciences
School of Media and Public Affairs (SMPA)
Data Analysis for Journalism and Political Communication
Data Analysis Journ/Polit Comm
Fall 2015
Course Type
Default Grading Method
Letter Grade

STAT 1051 or STAT 1053 or STAT 1111 or STAT 1127


Frequency of Offering

Term(s) Offered

Are there Course Equivalents?
Fee Type
Cloud resources are utilized by course, including access to statistical software, cloud based storage

Understanding, critiquing, and performing analysis of data sets with applications to journalism and political communication; using data to tell stories and answer questions. Analyzing A/B tests and field experiments; basics of visualizing data; regression. Laboratory fee.
1. Build on basic statistical concepts learned in introductory statistics and apply these tools to the problems journalists, scholars, and political communicators commonly encounter. 2. Use data to tell stories. 3. Visualize simple proportions and complex relationships between variables; distinguish good visualizations from poor visualizations. 4. Build regression models to test hypotheses drawn from existing scholarly literature. 5. Analyze A/B tests and field experiments which common tools in our fields. 6. Perform predictive modeling.

Course Attribute

Additional data skills are crucial for graduates in both journalism and political communication and the basic statistics knowledge from a single intro stats course is no longer sufficient. This course goes beyond what is done in the prerequisite course Stat 1053, students build on what was learned allowing this class to move further and to focus on approaches and problems tailored to our specific fields. While this class begins with a review of some of what was learned in Statistics 1053, this class assumes the basic statistics knowledge and spends more time on regression than an introductory statistics course does. In addition, this course has a heavy focus on data visualization and telling stories with data. Students learn tools for analysis of problems using common research approaches in the field (A/B testing, regression, predictive analytics). Learn more about data collection, cleaning than would in pure statistics course.

In response to the question about why the syllabus only mentions on STAT prereq 1053 but we allow other options in course leaf: We prefer the students to take the 1053 course (social science focus), however we occasionally have students who for other reasons need to take one of the others. Either they realize later they want to major and already took a different intro stats course, or they are double majors and need a different version. We want to make sure that the prereq checking for online enrollment does not catch them but generally we have encouraged students to take STAT 1053. Do you need me to send another syllabus or that changes this?
dullman (Wed, 24 Jun 2015 21:35:14 GMT): Rollback: This course has STAT 1051 as prerequisite, but the learning goals make evident that the course is essentially a repeat of the prerequisite course. What's the value added here?
gharris (Fri, 30 Oct 2015 17:52:45 GMT): Rollback: The following statement is on the syllabus, but the courseleaf form includes the option of STAT 1051 as a prerequisite: "Statistics 1053 (or higher-level general statistics course) is a required prerequisite for enrollment." Do you want to keep STAT 1051 as a prerequisite option?
Key: 9963