Cleaning Data In R with Tidyverse and Datatable

Course Feature

Cost

Paid
Provider

Udemy
Certificate

Paid Certification
Language

English
Start Date

2018-08-29
Learners

No Information
Duration

No Information
Instructor

R-Tutorials Training

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4.2

2,491 Ratings

This course provides a great opportunity for new learners to learn how to clean data in R with Tidyverse, Dplyr, Data.table, Tidyr and other packages. Learners will gain an understanding of how to identify outliers, replace missing data, and use machine learning algorithms to clean data. At the end of the course, learners will be able to apply their knowledge to a data cleaning project and receive a course certificate from Udemy. This course is perfect for those who want to learn the basics of data cleaning and gain the skills to apply it in their own projects.

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Cleaning Data In R with Tidyverse and Datatable

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Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [July 27th, 2023]

This course offers new learners the chance to gain knowledge on how to clean data in R with Tidyverse, Dplyr, Data.table, Tidyr and other packages. Participants will be able to recognize outliers, substitute missing data, and apply machine learning algorithms to clean data. The course also includes a data cleaning project at the end to give learners the opportunity to practice and enhance their data cleaning abilities. Upon completion of the course, participants will receive a course certificate from Udemy.

Course Syllabus

Introduction

Handling Missing Values And Detecting Outliers

The Tidyverse Toolbox For Efficient Data Cleaning

Subsetting, Filtering And Queries With data.frame, data,table And tibble

Course Project - Apply What You Learned On Real World Data

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