DAT 203 - Data Visualization
Credits: 3
3 Skills Lab Hours
Prerequisites: DAT 129
Description
In this course students explore the nuances associated with designing visual representations of quantitative information and implementing those plans using digital tools. As a project-based course, students investigate an inquiry question from inception through presentation. Students explore their inquiry questions by using data visualization as both an analytic tool and an aid to effective communication of data-backed conclusions.
Learning Outcomes
Upon successful completion of the course, the student will:
- Critique existing data visualizations using design principles and best practices.
- Design an inquiry project requiring the aggregation of several sources of data and visualization-supported analysis and communication.
- Construct visualizations of time-series data using scripts written in Python or R.
- Communicate data-backed claims supported by data visualizations.
Listed Topics
- Time-series data
- Data-backed inquiry design
- Data-ink ratios
- Multi-purpose visualization elements
- Small-multiple designs
Reference Materials
Appropriate learning materials selected by the instructor
Students who successfully complete this course acquire general knowledge, skills and abilities that align with CCAC’s definition of an educated person. Specifically, this course fulfills these General Education Goals: - Communication
- Quantitative & Scientific Reasoning
Approved By: Dr. Quintin B. Bullock Date Approved: 12/14/2020
Last Reviewed: 12/14/2020
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