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Reshaping Data with tidyr

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(3)

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Course Report - Reshaping Data with tidyr

Course Report

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

It can be overwhelming to deal with complex and confusing data sets. To organize this data, tidyr can be used to make it neater. The rows will contain the accessible values from column names. JSON files will convert to data frames. The missing values will not be lost again. These techniques can be used to analyze a wide range of data sets. This will reveal how many dogs were sent into space by the Soviet Union, and which bird is most popular in New Zealand. Any dataset can be transformed using the tidyr package in your tidyverse toolkit. This will allow you to easily complete the rest of your analysis in clean formats.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Data Manipulation with dplyr

What You Will Learn

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

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

Course Instructors

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Jeroen Boeye

Machine Learning Engineer @ Faktion

Jeroen is a machine learning engineer working at Faktion, an AI company from Belgium. He uses both R and Python for his analyses and has a PhD background in computational biology. His experience most...

Course Reviews

Average Rating Based on 3 reviews

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