Cleaning Data In R with Tidyverse and Data.table

Get your data ready for analysis with R packages tidyverse, dplyr, data.table, tidyr and more

Created by: R-Tutorials Training
Data Science Education

What Will I Learn?

• Convert raw and dirty data into clean data
• Understand how clean data looks and how to achieve it
• Use the R Tidyverse packages to clean data
• Handle missing values in R
• Detect outliers
• Filter and query tables
• Select a proper class for your data
• Clean various classes of data (numeric, string, categorical, integer, ...)

Requirements

• Just basic R skills are required for this course
• R and RStudio

Target audience

• Anybody working with R will benefit from this course since data cleaning is an integral part of any form of analysis