Data Manipulation with dplyr in R

Offered By
Coursera Project Network
In this Guided Project, you will:

Understand the use of tidyverse and the dplyr package

Manipulate the gapminder dataset using different dplyr verbs

Combine different dplyr verbs to get the desired results

Clock2 hours
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

Welcome to this project-based course Data Manipulation with dplyr in R. In this project, you will learn how to manipulate data with the dplyr package in R. By the end of this 2-hour long project, you will understand how to use different dplyr verbs such as the select verb, filter verb, arrange verb, mutate verb, summarize verb, and the group_by verb to manipulate the gapminder dataset. Also, you will learn how to combine different dplyr verbs to manipulate the gapminder dataset to get the desired result. Note, you do not need to be an expert data analyst, data scientist or statistical analyst to be successful in this guided project, just a familiarity with the R language will suffice. If you do not have a prior experience with R, I recommend that you should take the Getting Started with R project before taking this project.

Skills you will develop

Data ManipulationStatistical AnalysisR ProgrammingData Analysisdplyr

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Getting Started & About tidyverse

  2. Import packages & dataset

  3. The Select Verb

  4. The Filter Verb

  5. The Arrange Verb

  6. The Mutate Verb

  7. The Summarise Verb

  8. The group_by() Verb

  9. Wrap Up

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.