[R-sig-Epi] ONLINE COURSE – Introduction to Data Wrangling and Data Visualization using R (DWDV01)

[Oliver Hooker]

ONLINE COURSE – Introduction to Data Wrangling and Data Visualization using
R (DWDV01)

https://www.prstatistics.com/course/introduction-to-data-wrangling-and-data-visualization-using-r-dwdv01/

This course will be delivered live but will also have all sessions recorded
allowing you to take the course in your own time should you choose.
Course Overview:In this course, we provide a comprehensive practical
introduction to data wrangling and data visualization using R. In the
coverage of data wrangling, we will cover tools provided by R’s tidyverse,
including dplyr, tidyr, purrr, etc. We will cover how to read data of
different types into R using readr and related packages, and then cover in
detail all the dplyr tools such as select, filter, mutate, summarize, etc.
We will also cover the pipe operator (%>%) to create data wrangling
pipelines that take raw messy data on the one end and return cleaned tidy
data on the other. We will also how to reshape data using pivots, and how
to merge data sets using merge operations. For the topic of visualization,
we provide a comprehensive introduction to data visualization in R using
ggplot. We begin by covering the major types of plots for visualizing
distributions of univariate data: histograms, density plots, barplots, and
Tukey boxplots. In all of these cases, we will consider how to visualize
multiple distributions simultaneously on the same plot using different
colours and “facet” plots. We then turn to the visualization of bivariate
data using scatterplots. Here, we will explore how to apply linear and
nonlinear smoothing functions to the data, how to add marginal histograms
to the scatterplot, add labels to points, and scale each point by the value
of a third variable.

Email oliverhooker using prstatistics.com with any questions

-- 
Oliver Hooker PhD.
PR statistics

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