DASC 2213 - Data Visualization and Communication

Description
(S) Data Visualization and Communication (DASC 2213) is a seminar providing an essential element
of data science: the ability to effectively communicate data analytics findings using visual, written, and
oral forms. Students will gain hands-on experience using data visualization software (Tableau) and
preparing multiple formats of written reports (technical, social media, policy) that build a data literacy
and communication toolkit for interdisciplinary work. In essence, this is a course emphasizing finding
and telling stories from data, including the fundamental principles of data analysis and visual
presentation conjoined with traditional written formats.

Pre-Requisite
DASC 2113 - Principles and Techniques in Data Science (PTDS)

3 Credit Hour(s)

Contact Hours
45 Lecture/Lab

3 Faculty Load Hour(s)

Semesters Offered
Spring

ACTS Equivalent
None

Grade Mode
A-F

Learning Outcomes
Students completing DASC 2213 will be able to:
• Design, build, and evaluate visualizations for different types of data, disciplines, and
domains.
• Use existing data visualization tools and techniques to analyze datasets.
• Evaluate a visualization solution based on quantitative metrics such as time and error, as
well as more complex and qualitative metrics.
• Combine visual and written forms of communication as inter-related data analytics skills.
• Build an interactive website highlighting data analytics outcomes.
• Communicate basic data science principles and methods to diverse audiences.

General Education Outcomes Supported
• Students develop higher order thinking skills.
• Students can write clear, coherent, well-organized documents, substantially free of errors.
• Students will demonstrate technological fluency.
• Student develop effective oral communication skills.
• Students demonstrate information literacy.

Standard Practices
Topics list
1. Principles of data visualization
2. Tables, Networks, and Trees
3. Storytelling
4. Spatial visualization
5. Dynamic and interactive displays
6. Writing for diverse stakeholders
7. Student presentations
Learning activities
Assignments and Projects.
This course requires some in class, hands-on work and also additional hands-on work in the
virtual or on-campus computer lab.
Assessments
Homework
Projects
Quizzes
Exams
Grading guidelines
A = 90 - 100%
B = 80 - 89%
C = 70 - 79%
D = 60 - 69%
F = 0 - 59%