Arranging and Visualizing Data in R

This course is part of Data Science for Health Research Specialization

Instructor: Philip S. Boonstra

What you'll learn

  •    Become knowledgeable about and conversant in the R environment
  •    Format and manipulate data within R into suitable formats
  •    Develop an intuition for doing exploratory data analysis
  •    Develop a workflow in R
  • Skills you'll gain

  •   Data Wrangling
  •   Scripting
  •   Ggplot2
  •   Data Manipulation
  •   R Programming
  •   Scatter Plots
  •   Rmarkdown
  •   Exploratory Data Analysis
  •   Tidyverse (R Package)
  •   Data Import/Export
  •   Statistical Reporting
  •   Package and Software Management
  •   Data Visualization Software
  •   Histogram
  • There are 4 modules in this course

    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.

    Format and manipulate data within R into suitable formats

    Develop intuition for doing exploratory data analysis

    Develop a workflow in R

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