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Abstract:
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This hands-on workshop will teach you an efficient workflow for doing end-to-end data science with the R programming language. You'll learn to access data from a variety of sources (including csv files, excel spreadsheets, and databases); to visualize, transform, and model data with R's Tidyverse, which is a core set of R packages built for modern data science; and to communicate your results with R Markdown, R's authoring format for reproducible research. Along the way, you will focus on practices that make your work more reproducible, and hence easier to replicate, share, hand off, automate, schedule, rerun with new data, and resume after a hiatus. Bring your laptop!
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