Joining Data with data.table in R

via

DataCamp

Course Features

Duration

4 hours

Delivery Method

Online

Available on

Limited Access

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Intermediate

Teaching Type

Self Paced

Video Content

4 hours

Course Description

In the real world, data sets can often be divided across multiple tables. R data analysis functions are limited to one type of data. This course will show you how to combine different data sets into one table using data.table. This course will show you how to combine multiple data sets into single tables with data.table. This course will teach you how to deal with complicated data sets, and how to fix problems in join operations. After completion, this course will prepare the student to be a data.table master.

Course Overview

Virtual Labs

International Faculty

Post Course Interactions

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Data Manipulation with data.table in R

What You Will Learn

After completing this course you'll be well on your way to be a data.table master!

This course will show you how to combine and merge datasets with data.table

You'll learn how to troubleshoot failed join operations and best practices for working with complex data sets

Course Content

Expand all sections

Module 1: Joining Multiple data.tables

Module 2: Joins Using data.table Syntax

Module 3: Diagnosing and Fixing Common Join Problems

Module 4: Concatenating and Reshaping data.tables

Course Instructors

Scott Ritchie

Postdoctoral Researcher in Systems Genomics

Scott Ritchie is a Post-doctoral Researcher in the field of systems genomics. He applies and develops tools to analyse genetic and molecular data in population studies of common diseases. He is a dai...