Information Technology
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Data Manipulation with data table in R

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5

(3)

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

Data.table is a high performance package of base R's information.frame. It includes syntax enhancements and features that increase speed, programming speed, and ease-of-use. This course will teach you how to create, subset, and manipulate data.tables. Data.tables features that are database-inspired, such as built-in groupwise operations, will be covered. Learn how to quickly import and export tabular text data such as CSV files. You will learn how to use data.table R for more efficient manipulations, analyses and reporting after the course is over. This course will be covering the San Francisco Bay Area bike share trip dataset that began in 2014.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Intermediate R

What You Will Learn

Upon completion of the course, you will be able to use data.table in R for a more efficient manipulation and analysis process

You'll explore the San Francisco Bay Area bike share trip dataset

Course Instructors

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Matt Dowle

Author of data.table

Matt Dowle is the main author of the data.table package. Matt has worked for some of the world largest financial organizations and has been programming in R for over a decade.
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Arun Srinivasan

R's data.table co-developer

Arun Srinivasan is originally from Tamilnadu, India. He holds a Bachelors degree in Electronics engineering and a Masters degree in Bioinformatics. He started using R in 2010 and has contributed to R...

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