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Working with Web Data in R

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Course Report - Working with Web Data in R

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

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

The vast majority of useful data in the world can be found on the internet, including news and economic data as well as geographical information. This course will teach you how to find it.

This course will show you how to access Wikipedia data, create an API client and use APIs (computer-readable protocols that allow websites to communicate with one another). In cases where APIs are not available, you'll learn how R can extract information from web pages. It will be possible to extract data from any website, and then convert it into a format that is easily accessible for further analysis. You will learn how to use rvest, htr and specific API client packages like WikipediR and pageviews.

Course Overview

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Virtual Labs

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Intermediate R

What You Will Learn

In the process you'll learn how to get data out of even the most stubborn website, and how to turn it into a format ready for further analysis

The packages you'll use and learn your way around are rvest, httr, xml2 and jsonlite, along with particular API client packages like WikipediR and pageviews

Course Instructors

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Charlotte Wickham

Assistant Professor at Oregon State University

Charlotte is an Assistant Professor in the Department of Statistics at Oregon State University and an avid R programmer with a passion for teaching. Her interests lie in spatiotemporal data, statisti...
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Oliver Keyes

Data Scientist

Oliver is a long-time data scientist and currently works as a Ph.D. student and instructor at the University of Washington. They are the developer of over 30 R packages, including many standard API clients.
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