Information Technology
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Cleaning Data in R

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$12

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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

Data scientists spend around 80% of their time cleaning and manipulating data and 20% on analysing it. Spending time cleaning data is crucial as it can lead to incorrect conclusions.

This course will show you how to clean up data. This course will teach you how to use R to identify errors in data and correct them with fuzzy string matching and data transformation. Learn how to work with real data such as restaurant reviews and bike-share trips. This will allow you to sharpen your skills and gain amazing insights from raw data quickly.

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

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Joining Data with dplyr

What You Will Learn

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Develop the skills you need to go from raw data to awesome insights as quickly and accurately as possible

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Using R, you'll learn how to identify values that don't look right and fix dirty data by converting data types, filling in missing values, and using fuzzy string matching

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As you learn, you’ll brush up on your skills by working with real-world datasets, including bike-share trips, customer asset portfolios, and restaurant reviews—developing the skills you need to go from raw data to awesome insights as quickly and accuratel

Course Instructors

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Maggie Matsui

Curriculum Manager at DataCamp

Maggie is a Curriculum Manager at DataCamp. She holds a Bachelor's degree in Statistics and Computer Science from Brown University, where she spent lots of time teaching math, programming, and statis...

Course Reviews

Average Rating Based on 3 reviews

5.0

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Course Cover

$12

$6

49% OFF

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