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Cleaning Data In R with Tidyverse and Datatable

Learners: 2,491

Instructor: R-Tutorials Training

Duration:

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.▼▲

Course Feature Course Overview Course Provider

Go to class

Course Feature

Cost:

Paid

Provider:

Udemy

Certificate:

Paid Certification

Language:

English

Start Date:

2018-08-29

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.