Why Learn dyplr?
This course is an introduction to the dpylr package and how to use it with the R programming language. The dpylr package is commonly used to clean and work with data. R is used by professionals in the Data Analysis and Data Science fields as part of their daily work.
In this course, you will learn how to import large spreadsheet-like datasets into R and manipulate their contents. Rather than working in a spreadsheet, you can import those spreadsheets to R as data frames and apply all of the R skills you have learned so far! You will also learn how to create and clean data frames and how to perform aggregate functions on those data frames. Finally, we will show you how to work with multiple data frames in unison.
Codecademy courses have been taken by employees at
ACLU Child Separation
Use your knowledge of data frames, readr, and dplyr to load and organize this data collected by the American Civil Liberties Union (ACLU) regarding child separations at the United States and Mexico border in 2018.
Cleaning US Census Data
Use your knowledge of dplyr and tidyr to clean up this dataset containing a bunch of census data collected by the US government.
A/B Testing for ShoeFly.com
Help ShoeFly.com analyze their A/B test data using aggregate measures.
— Madelyn, Pinterest“I know from first-hand experience that you can go in knowing zero, nothing, and just get a grasp on everything as you go and start building right away.”