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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.

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What you'll learn

  1. 1
    Learn how to organize and modify data in R using data frames and dplyr.
  2. 2
    Learn how to prepare data for analysis in R using dplyr and tidyr.
  3. 3
    Learn the basics of aggregate functions in R with dplyr, which let us calculate quantities that describe groups of data.
  4. 4
    Learn the basics of joining tables together in R with dplyr.
  5. 5
    Take 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

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How you'll master it

Stress-test your knowledge with quizzes that help commit syntax to memory

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Madelyn from 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.
— Madelyn, Pinterest