R Data Pre-Processing & Data Management - Shape your Data!

Learn how to prepare your data for great analytics in R.

4.42 (662 reviews)

Udemy

platform

English

language

Data Science

What you will learn

import data into R in several ways while also beeing able to identify a suitable import tool

select and implement a proper object class (data.frame, data.table, data_frame)

convert your data into (and understand) a tidy data format

filter and query your data based on a wide range of parameters

join 2 data tables together with dplyr 2 table verb syntax

use SQL code within R

translate basic R into SQL

work with dates and time

work with strings using regular expressions

detecting outliers in datasets

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Comidoc Review

Our Verdict

This course shines as an elementary resource for R data pre-processing and management, including essential data cleaning tasks while effectively introducing powerful add-on packages like tidyr, data.table, and tidyverse. Though outdated syntax may be encountered and some exercises suffer from vague questions, the course offers a clear, structured learning experience that makes it well worth exploring for both beginners and intermediate R users.

What We Liked

Comprehensive overview of R data pre-processing and data management
Covers standard data cleaning tasks using appropriate add-on packages
Shows useful concepts like tidyr, data.table, and tidyverse for efficient data cleaning
Clear narration, detailed explanations, and helpful slides to enhance understanding

Potential Drawbacks

Some coding examples use deprecated functions or terminology
Exercises may have vague questions but contain valuable learning material
Slight variations in the current data.table version compared to course version