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Codecademy

Learn dplyr

via Codecademy

Overview

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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.

Syllabus

  • Learn R: Data Frames: Learn how to organize and modify data in R using data frames and dplyr.
    • Lesson: Introduction to Data Frames in R
    • Lesson: Modifying Data Frames in R
    • Quiz: Manipulating Data Frames in R
    • Project: Explore the 1985 Cars Dataset
  • Learn R: Data Cleaning: Learn how to prepare data for analysis in R using dplyr and tidyr.
    • Lesson: Data Cleaning in R
    • Quiz: Data Cleaning in R
    • Project: Cleaning US Census Data
  • Learn R: Aggregates: Learn the basics of aggregate functions in R with dplyr, which let us calculate quantities that describe groups of data.
    • Lesson: Aggregates in R
    • Quiz: Aggregates in R
    • Project: A/B Testing for ShoeFly.com
  • Learn R: Joining Tables: Learn the basics of joining tables together in R with dplyr.
    • Lesson: Joining Tables in R
    • Quiz: Joining Tables in R
    • Project: Page Visits Funnel
  • Working With Data Off Platform Project: Take your data wrangling skills onto your own computer! In this off-platform project, you'll get the opportunity to explore a real dataset.
    • Informational: Working with Data in R Cumulative Project

Taught by

Kenny Lin

Reviews

4.7 rating at Codecademy based on 44 ratings

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