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Reshaping Data with tidyr Data Camp

Highlights
Tuition fee
Free
Free
Free
Unknown
Tuition fee
Free
Free
Free
Unknown
Duration
1 days
Duration
1 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

In this Reshaping Data with tidyr course offered by Data Camp you will learn transform almost any dataset into a tidy format to make analysis easier.

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

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Campus Location

  • New York City, United States

What students do after studying

Join for free or log in to access our complete career info list.

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

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free
  • Domestic

    In-State
    Free

Additional Details

  • This course can be accessed for free with the Data Camp Premium or Teams subscriptions

Funding

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