Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Learn how to organize and modify data in R using 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.
### 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.