Learn dplyr
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.
Take-Away Skills
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
- 1Learn how to organize and modify data in R using data frames and dplyr.
- 2Learn how to prepare data for analysis in R using dplyr and tidyr.
- 3Learn the basics of aggregate functions in R with dplyr, which let us calculate quantities that describe groups of data.
- 4Learn the basics of joining tables together in R with dplyr.
- 5Take your data wrangling skills onto your own computer! In this off-platform project, you’ll get the opportunity to explore a real dataset.
What you'll create
Portfolio projects that showcase your new skills
Explore the 1985 Cars Dataset
Use your knowledge of DataFrames, reader, and dplyr to explore this dataset about cars from 1985.
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.
How you'll master it
Stress-test your knowledge with quizzes that help commit syntax to memory
— 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.
Course Description
Learn how to organize and modify data in R using dplyr.
Details
Earn a certificate of completion
8 hours to complete in total
Intermediate
Learn how to organize and modify data in R using data frames and dplyr.
1 lesson, 1 quiz, 1 project
1 lesson, 1 quiz, 1 project
1 lesson, 1 quiz, 1 project
1 informational