Description
Data visualization techniques and tools will be introduced for interpretation and presentation of analyses, including charts, graphs, tables, and maps. Topics may adapt to changes in industry practices.
Upon course completion, students will be able to: identify appropriate data visualization techniques for a given research question; identify the most meaningful results for a given research question; create visual representation of results; and communicate results.
32 lecture hours + 32 lab hours