Overview
Context
Data in the wild can be scary—when confronted with a complicated and messy dataset you may find yourself wondering, where do I even start? The Reshaping Data with tidyr course offered by Data Camp allows you to wrangle such beasts into nice and tidy datasets.
Inaccessible values stored in column names will be put into rows, JSON files will become data frames, and missing values will never go missing again. You'll practice these techniques on a wide range of messy datasets, learning along the way how many dogs the Soviet Union sent into space and what bird is most popular in New Zealand.
With the tidyr package in your tidyverse toolkit, you'll be able to transform almost any dataset in a tidy format which will pay-off during the rest of your analysis.
Programme Structure
Chapters include:
- Tidy data
- Expanding data
- From wide to long and back
- Rectangling data
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Campus Location
- New York City, United States
Disciplines
Data Science & Big Data View 467 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- This course is suitable for beginners. It starts with an introduction to the concept of tidy data that is fundamental to the course, which then progresses to the tidyr package functions, before introducing more sophisticated concepts such as pivoting and rectangling data.
Prerequisites
- Data Manipulation with dplyr
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
-
Domestic
Applies to youIn-StateFree
Additional Details
- This course can be accessed for free with the Data Camp Premium or Teams subscriptions