Start Learning for Free

Join over 500,000 other Data Science learners and start one of our interactive tutorials today!

Topic r small

New Course: Learn Data Manipulation in R with dplyr

October 31st, 2014 in R Programming
DataCamp just launched its latest interactive course: dplyr. This new course was developed in close collaboration with Garrett Grolemund, RStudio’s master instructor. By taking this dplyr tutorial, you will be challenged one step at a time to master the essentials about transforming data sets fast and intuitively with the dplyr package. Start the course here.The dplyr package is an exciting new chapter in the mission to bring painless data manipulation to the crowd. It is an R package that provides you with a fast and intuitive way to transform data sets with R. dplyr is the successor of plyr and is mainly authored by Hadley Wickham and Romain Francois. It is designed to be intuitive and easy to learn, thereby making "doing things" in R more user friendly.This dplyr tutorial introduces five key functions to straightforwardly manipulate data: select, mutate, filter, arrange and summarize. Thanks to optimization in C++, these functions allow you to work extremely fast with larger data sets. These ‘dplyr verbs’ can be understood as the atoms that combine to powerful molecular operations which can handle around 90% of data manipulation tasks. As such, dplyr lets you, as a data scientist, accomplish more things, with more data, in less time. However, dplyr isn’t limited to these five functions; it also enables automated groupwise operations in R, it provides a standard syntax for accessing and manipulating database data with R, and much more. All of this and more is covered and explained in this DataCamp course (check out the contents of the course).To help you fully grasp the power and ease-of-use of dplyr, DataCamp has developed a brand new interactive course together with Garrett Grolemund. Garrett is a Data Scientist and Master Instructor at RStudio, holds a Ph.D. in Statistics, and specializes in teaching. He is the author of Hands on Programming with R, as well as Data Science with R, an upcoming book from O'Reilly Media. He taught people how to use R at over 50 government agencies, small businesses, and multi-billion dollar global companies.[caption id="attachment_418" align="aligncenter" width="300"]dplyr tutorial A video of Garrett Grolemund explaining the dplyr package in the DataCamp course[/caption] 

The dplyr tutorial

In the dplyr tutorial, you will learn how to use dplyr to perform basic data manipulation tasks using the five dplyr verbs, as well as combining these to solve challenging problems. You’ll also learn about groupwise operations using group_by(), about the pipe operator to chain your operations, and about the tbl structure which provides a cleaner layout so you can better understand your data. Finally, you will learn how to use the dplyr syntax to access data stored in a database outside R.The course is set up in DataCamp’s interactive learning platform that aims to enhance your learning experience by allowing you to learn by doing. The course is comprised of 10 sections distributed over five chapters and each section has an instructional video by Garrett, followed by a vast set of interactive exercises. As such, the concepts that are introduced during the video lecture are directly tested through challenging assignments with tailored feedback to consolidate your knowledge step by step. You will effectively learn hands on instead of losing time with suboptimal solutions like a four-hour screencast or webinar.[caption id="attachment_419" align="aligncenter" width="474"]dplyr tutorial The DataCamp interactive learning environment[/caption]This is the first course of the RStudio datacamp track that will cover some of the company’s flagship products: dplyr, ggvis, rmarkdown, and the RStudio IDE. These other courses are scheduled to launch later this year.So, if you want to learn more about the powerful dplyr package to solve challenging data analysis problems, head over to DataCamp and start right away!dplyr tutorial


No comments yet. Be the first to respond!