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Codecademy

Learn dplyr

via Codecademy

Overview

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In this course, you’ll dive into the `dplyr` package, a key tool for data manipulation in R. It’s widely used in Data Science and Analysis to clean, transform, and work with large datasets. You'll learn how to perform essential data operations such as importing, cleaning, and aggregating data, helping you build valuable skills for real-world data analysis tasks.

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

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4.6 rating at Codecademy based on 65 ratings

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