Course Prerequisites

Students should have taken EMSE 4574: Intro to Programming for Analytics prior to taking this course.

For those who did not, I strongly suggest you go through all the lessons in this primer course:

R for Analytics Primer

After completing these lessons, you should be able to:

• Use RStudio to write basic R commands.
• Know the distinctions between different R operators and data types, including numeric, string, and logical data.
• Use tidyverse functions to wrangle and manipulate data in R.
• Use the ggplot2 library to create plots in R.

Also, it can be very helpful to see these skills applied in practice. Take a look at this example of using Tidyverse tools to explore and visualize data on survivors aboard the Titantic. It’s a good example of conducting an Exploratory Data Analysis to gain insights about a data set.

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EMSE 4575: Exploratory Data Analysis (Spring 2021)
Wednesdays | 12:45 - 3:15 PM | Dr. John Paul Helveston | jph@gwu.edu |
LICENSE: CC-BY-SA