Course
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Build Tidyverse skills by learning how to transform and manipulate data with dplyr.
Build Tidyverse skills by learning how to transform and manipulate data with dplyr.
Track
Take the pain out of data manipulation using dplyr and tidyr. Learn how to transform, sort, and filter your data, ready for quick analysis.
Loved by learners at thousands of companies
Make progress on the go with our mobile courses and daily 5-minute coding challenges.
Course
Build Tidyverse skills by learning how to transform and manipulate data with dplyr.
Build Tidyverse skills by learning how to transform and manipulate data with dplyr.
Course
Transform almost any dataset into a tidy format to make analysis easier.
Transform almost any dataset into a tidy format to make analysis easier.
Course
Learn to combine data across multiple tables to answer more complex questions with dplyr.
Learn to combine data across multiple tables to answer more complex questions with dplyr.
Project
Exploring flight data from NYC using advanced data joining techniques in R.
Exploring flight data from NYC using advanced data joining techniques in R.
Course
Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.
Use data manipulation and visualization skills to explore the historical voting of the United Nations General Assembly.
Data Manipulation in R
Track
Complete
Principal Data Scientist at Heap
Yes, this Track is suitable for beginners. Although knowledge of R is useful, the courses are designed to be accessible to those with limited prior programming experience.
The programming language of this Track is R.
This Track is well-suited to individuals whose jobs involve extracting, manipulating, and analyzing data as part of their job responsibilities. Jobs in research, engineering, and finance, for instance, stand to benefit greatly from the skills developed in this Track.
By completing this Track, users will develop proficiency in packages like dplyr and tidyr, which are invaluable for data manipulation tasks. Ultimately, users will be equipped with the necessary skillset to effectively manage a wide range of data-related tasks related to their career.
This Track typically takes around 16 hours to complete.
A skill track focuses on building specific skills and expertise, while a career track tends to prepare individuals for a range of job roles. This Track is a skill track as it focuses on mastering the skills of data manipulation.
The tracks helped me complete my journey without feeling lost. Each course builds on the last, keeping me motivated and on track

DataCamp helped me transition from someone curious about data to someone actively applying these skills in my job
I've been using DataCamp for four years, and it's helped me transition from filling gaps in my skills to proactively creating value for my company