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Курс от University of Michigan
courseraАнализ данных
Arranging and Visualizing Data in R
Курс от University of MichiganО курсе
This course provides a first look at the R statistical environment. Beginning with step-by-step instructions on downloading and installing the software, learners will first practice navigating R and its companion, RStudio. Then, they will read data into the R environment and prepare it for summary and analysis. A wide variety of concepts will be covered, including sorting rows of data, grouping by variables, summarizing over variables, pivoting, and creating new variables. Then, learners will visualize their data, creating publication-ready plots with relatively little effort. Finally, learners will understand how to set up a project workflow for their own analyses. All concepts taught in this course will be covered with multiple modalities: slide-based lectures, guided coding practice with the instructor, and independent but structured practice.
Навыки, которые вы освоите
R ProgrammingData Visualization SoftwareGgplot2Data WranglingHistogramData ManipulationTidyverse (R Package)Scatter PlotsExploratory Data AnalysisData AnalysisRmarkdownPlot (Graphics)R (Software)Data VisualizationData TransformationPackage and Software ManagementScripting LanguagesStatistical VisualizationStatistical ReportingScripting
Программа курса
4 модулей · 96 учебных материалов
01Become knowledgeable about and conversant in the R environment22 материалов
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Philip S. Boonstra
Associate Professor, Biostatistics