new course: Working with Web Data!

Learn how to access data on the internet in Working with Web Data in R! In this course you will explore how to work with APIs, access data from Wikipedia and other sources, and build your own API client. Taught by Oliver Keyes and Charlotte Wickham [DataCamp]( New Course! [ ]( [Play Now]( [ ]( Working with Web Data in R Taught by Oliver Keyes & Charlotte Wickham Most of the useful data in the world, from economic data to news content to geographic information, lives somewhere on the internet - and this course will teach you how to access it. You'll explore how to work with APIs, access data from Wikipedia and other sources, and build your own API client. [Start Learning]( Working with Web Data in R: What You'll Learn Chapter 1: [Downloading Files and Using API Clients]( This chapter will explore how to download and read in static files, and how to use APIs when pre-existing clients are available. Chapter 2: [Using httr to interact with APIs directly]( If an API client doesn't exist, it's up to you to communicate directly with the API. But don't worry, the package `httr` makes this really straightforward. Chapter 3: [Handling JSON and XML]( This chapter walks you through what JSON and XML are, how to convert them into R-like objects, and how to extract data from them. Chapter 4: [Web scraping with XPATHs]( This chapter will introduce you to the rvest web-scraping package, and build on your previous knowledge of XML manipulation and XPATHs. Chapter 5: [CSS Web Scraping and Final Case Study]( Learn CSS path-based web scraping and work through a final case study that combines everything you've learnt so far. [Play Now]( [DataCamp] [DataCamp]( DataCamp Inc. | 2067 Massachusetts Avenue | Cambridge MA 02140 [Facebook] [Facebook]( [Twitter] [Twitter]( [LinkedIn] [LinkedIn]( [YouTube] [YouTube]( [Unsubscribe](