
Graphing in R for Effective Communication
In which we review graphing options in ggplot2 that allow you to communicate results effectively, including labels, annotations, scales, zooming, and themes.

Creating Simple Documents with R Markdown
In which we review the basics of R Markdown files, including the YAML header, code chunk options, and formatting options.

Model Building in R
In which we explore the basics of modeling as an exploratory tool through recording and graphing predictions and residuals, variable interactions, and transformations.

Programming in R: Iteration
In which we explore the basics of iteration through the lenses of functional and imperative programming by examining for loops, map functions, and more.

Programming in R: Pipes, Functions, and Vectors
In which we explore the basics of programming in R by examining common programming tools, data structures, and strategies to help effectively analyze data.

Data Wrangling in R: Dates and Times
In which we review basic information about dates and times, including how to create them, how they are represented, and what you can do with them.

Data Wrangling in R: Factors
In which we review some basic information about factors, a type of data used work with categorical variables.

Data Wrangling in R: Strings
In which we dive into string manipulation, with a focus on regular expressions.

HighLevel Data Wrangling in R: Imports, Pivots, and Joins
In which we go over importing data into R, working with 'tidy data,' manipulating single tables, and joining related tables.

Basic Data Exploration in R
In which we examine some common practical examples of data exploration: observing variance and covariance with histograms, boxplots, scatterplots, and heat maps.

Basic Data Transformation in R
In which we review the fundamentals of transforming data in R, using six key functions in the dplyr package: filter, arrange, select, mutate, summarize, and group by.

Basic Data Visualization in R
In which we review the fundamentals of creating graphs in R with ggplot2.