Free
CourseLearn dplyr
Learn how to organize and modify data in R using dplyr.
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1,682 learners enrolled
Skill level
IntermediateTime to complete
Approx. 8 hoursCertificate of completion
YesPrerequisites
1 coursesWe suggest you complete the following courses before you get started with Learn dplyr:- Learn R
About this course
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.
Syllabus
5 lessons • 4 projects • 4 quizzesThe platform
Hands-on learning
Don’t just watch or read about someone else coding — write your own code live in our online, interactive platform. You’ll even get AI-driven recommendations on what you need to review to help keep you on track.
Projects in this course
- Project
Explore the 1985 Cars Dataset
Use your knowledge of DataFrames, reader, and dplyr to explore this dataset about cars from 1985. - Project
Cleaning US Census Data
Use your knowledge of dplyr and tidyr to clean up this dataset containing a bunch of census data collected by the US government. - Project
A/B Testing for ShoeFly.com
Help ShoeFly.com analyze their A/B test data using aggregate measures.
Reviews from learners
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- I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.Rodrigo Codecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-Andrew Codecademy Learner @ USA
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Practice projects
Guided projects that help you solidify the skills and concepts you're learning.Assessments
Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.Certificate of completion
Earn a document to prove you've completed a course or path that you can share with your network.Join over 50 million learners and start Learn dplyr today!
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