Skip to main content
skill track

Data Manipulation with R

Real-world data is messy. That’s why packages like dplyr and tidyr are so valuable. Using these packages, you can take the pain out of data manipulation by extracting, filtering, and transforming your data, clearing a path for quick and reliable data analysis. If you want to improve your data wrangling skills, this is the track for you. You’ll learn how to prepare real-world data for analysis and grow your expertise as you work with multiple tables. You’ll also gain hands-on experience of how to combine, merge, and create visualizations. You'll apply your new-found data manipulation skills using dplyr to analyze voting data from the United Nations. Start this track and discover how dplyr and tidyr can save you time manipulating data.

RClock16 hoursLearn4 courses

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.

Loved by learners at thousands of companies

1
R
Data Manipulation with dplyr

Delve further into the Tidyverse by learning to transform and manipulate data with dplyr.

4 hours

James Chapman Headshot

James Chapman

Curriculum Manager, DataCamp

2
R
Reshaping Data with tidyr

Transform almost any dataset into a tidy format to make analysis easier.

4 hours

Jeroen Boeye Headshot

Jeroen Boeye

Machine Learning Engineer @ Faktion

3
R
Joining Data with dplyr

Learn to combine data across multiple tables to answer more complex questions with dplyr.

4 hours

DataCamp Content Creator

Course Instructor

4
R
Case Study: Exploratory Data Analysis in R

Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.

4 hours

David Robinson Headshot

David Robinson

Principal Data Scientist at Heap

Track statement of accomplishment

Instructors