Rutgers University 3 credits Data Science
As the culmination stage of the analysis pipeline, effective data visualization is crucial to the successful communication of experimental and/or statistical findings. This data visualization course teaches students how to generate effective visualizations for data using the powerful graphic properties of the R programming language. Visualizations explored in this course include: Univariate, bivariate and multivariate graphs, maps, time series and statistical models. Effective data visualization requires mastery of all elements in the analysis pipeline (data import and wrangling, descriptive and inferential statistics). Prospective students should be familiar with the basics of statistics and programming prior to registering for this course.
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